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Laser-Scanning Workflows for Construction Sites: Reality Capture, Modeling, and BIM

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Description

Have you ever found yourself working on an architecture, engineering, and construction project with incomplete information about the existing conditions around which you will install new work? In this class, we will explore laser-scanning reality capture workflows that bring honest and accurate measurements to the drafting and coordination tables. This class will focus on needs for implementing laser scanning on your jobsite. We will look at the setup, challenges, and time requirements of using laser scanners on jobsites. Then we will look at postprocessing techniques where raw data is transformed into a coherent point cloud. Next, we will explore the combination point cloud / photo collection product via ReCap software. Last, we will see how to pull the point cloud into design software like Revit software and AutoCAD software for modeling purposes, and how to overlay the point cloud onto 3D models of building elements through Navisworks software and ReCap software (we will review the ReCap software capability to represent models within the photosphere view).

Principaux enseignements

  • Discover the procedure of collecting, processing, and viewing laser-scan data
  • Learn how to bring laser-scan point clouds into design software suites (for instance, Revit and AutoCAD)
  • Learn how to overlay models on laser-scan photospheres via ReCap Pro
  • Learn how to overlay point clouds on models in Navisworks

Intervenant

  • Avatar de Jacob Raskin
    Jacob Raskin
    BIM-VDC. Laser scanning. Story telling. Triathlon. Food exploring.
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      Transcript

      JACOB RASKIN: Hey, good morning. Can everybody hear me? Terrific. I'm Jacob Raskin, Skanska USA in New York City. I am full time on a job site. And I help them run their laser scanning. And hopefully, that's why you guys are here this morning. Hopefully, everybody's had a little bit of coffee, shaking off last night's activities. Pretty good, almost there. I'm going to let some of these new folks filter in real quick.

      But while they're filtering in, don't sit down too quick. We at Skanska have this lovely tradition. Every day, we start the morning with a little thing we call stretch and flex. So while you still have some room between you and your neighbors next to you, why doesn't everybody get up real quick? We're going to shake out the bones, wake up the mind a little bit.

      So let's start with a little Jazzercise and do a little back and forth real quick. Get the legs awake in case the coffee isn't there yet. Let's give it five more seconds. Looking good. OK, great. Let's go up towards the sky. Those of us wearing belts, almost there. It works easier in jeans in the field. OK, terrific. I'll give us the short cut one. Let's do the neck roll, going slowly around. Don't speed it. Be gentle on yourself. It is only 8:00 AM after all. And let's go gently the other way.

      All right. You guys are looking good. A couple more. Let's do this forearm reach. You can do two at once. You can stretch out that back leg and reach forward with this. You pull the fingers back here. And now we're going to flip them over, pull them down. And then you turn it out. Go the other way. All right, we're going to switch sides. Everybody's looking great. I love the participation. Pulling back and up, left leg is reaching back. Great. Going down, pulling the fingers back, getting the top of the forearm, and now we're going back out from behind you.

      All right, give yourselves a nice big round of applause. Excellent participation. Looking great, feeling even better, love the enthusiasm. Thanks so much for everyone being with me this morning. Really glad to see such a large crowd coming out here. It really means a lot to get this sort of participation and energy coming in here.

      So let's go over the agenda. You've already done step one. Congratulations. 8:01, we're already flying. We're going to talk about the laser scanner itself. We're going to talk about some best practices of how to run it effectively on the job site. It is just a tool after all, so a lot of using it correctly is knowing how to get it set up correctly and operating correctly on the job site. And that's a lot easier said than done in my experience. And I think that it might be helpful for a lot of us to review that.

      We're going to go over processing techniques. What happens after you come back from the field, and you've got this big heap of data, then what? We're going to learn to explore the scan or refresh it, if you guys are already familiar. And then we're going to get into what I love the most, where you can pull the scan into some design softwares. I'll show examples with AutoCAD and Revit softwares today.

      And then we're going to jump into another software suite called ReCap, which is really helpful for viewing the laser scan product, the point cloud. And after that, I'd be happy to take some questions. I've got a fair amount of material to cover today, so I'd love it if we can save questions for the end. But I like the energy so far.

      All right, let's talk about the basics. This is a laser scanner. The unit itself is what's sitting on top of the tripod. The tripod, though, will frequently come with it. But it bears reminding that they're not the same thing, and most laser scanners are kind of the bread box that sits on top. And they're separate objects.

      What it does is it's like a digital tape measure. A tape measure traditionally would look across the room and say, OK, from A to B in one dimension, this is how far things are. And this has taken this step further, and it will look in all directions. And after you let it run, it will give you this collection of measurements, rather than just one measurement in one direction. And that's the main advantage of jumping to this from a point and shoot laser tape measure or a tape measure itself.

      The product-- what it spits out to you, what you're hoping to gain from it in the end-- it's called a point cloud. This is a view of a point cloud right here, sort of inside the space, looking out away from it. And it's a collection of x, y, and z-coordinates. And each one of those points also has some other properties attached to it. So what we can see here, for example, is that it has some black and white values assigned to it as well. And that gives it some texture beyond just the geometry values that they carry.

      So let's talk about some basics and good stuff to remember when you run your laser scanning on your construction job site, where I play in the sand most days. The first thing you want to think about is, what's your actual objective? So you say you want to go out and laser scan the site or the existing conditions. But you've got to think about first, what is it I really want to learn about?

      Some of these questions on the board right here might help prompt some thinking about, OK, I want to go out, and I might want to measure all the steel in the space. Maybe it's a renovation job, and there's a tremendous number of existing conditions that I need to know about before I get my construction folks in there to get started. So that I can tell them, OK, you're going to encounter some low points here, and then you're going to encounter some high points back there in the structural stuff. So look out for that. And you know to dip under that.

      Things like this will help you guide where you're going to send the laser scanner as you're walking around the site with it, doing your scanning. Or maybe you don't need to go around the entire site at all. Maybe you are only interested, for example, in just looking at one particular area that's a really key feature.

      Another thing to think about is how much time can you allot to the laser scanning. To do it correctly and get the most value out of it, you do need to give it some time to run. This can sometimes take multiple days. You might come back for an entire week, day after day. It's very infrequent that you can really get all of what you really want to know by just parking it once, letting it spin around, and saying OK, we're done. We did it. And you won't really know how well you did it, unfortunately, until you've gone back to the computer, and done the processing technique, and opened it up, and kind of said, OK, let's evaluate how complete of a picture did we really gather about the site conditions when we went out that day.

      It brings us to how much time is enough then. So, as with many things, there's a trade-off between how much time you're going to spend doing it and the general quality of the product. If you go fast, you can really only ever expect to get a little pretty high quality data or a lot of relatively mediocre data. Because you sped through and went very quickly from point to point as you went across your site to scan.

      So this is one of the planning things that you need to keep in mind before you ever even get the thing out of the box, and put it on the tripod, and send people out to the field. It's just to say, OK, I expect that we can spend eight hours times 5 days taking in site conditions, or it's a very protected site. There's rules about going in, and they're only going to let us in for one day. So it's a one hit wonder. So ask as many questions as you can before you bring the toy in and set it up to run. Because you're only going to have that limited window to take in exactly what you think the most important thing is. And the rest of it, you'll either have to reference existing documents or ask for another chance some point later.

      Let's talk about some basics of what else comes with a laser scanner. What else should you be doing on site, aside from just parking it and hitting run? You want to set up some targets for it to try to see. And the reason you want to do this is because when you run the post-processing, the algorithms that come in the software package with your laser scanning kit will be trained to look for these sorts of targets. And there's typically two types. One is a sphere, which is a pretty perfectly round white ball, and the other is a checkerboard. And what these software algorithms are trained to do for you, which is great, is to look for round things that look like spheres and trained to look for the crosshairs of the checkerboard.

      And so you want to set up your site before you hit Run on your scanner with as best ability to look for these things as you can get. You want to affix these targets in a very permanent fashion to the wall, or at least as permanent as your site will allow you. Sometimes you're going to go into, say, an operating hospital. It's not very likely that they're going to let you tape up a checkerboard target to the wall. There are some workarounds for this. Some of them can be printed on magnetic strips. And they can be taped up for the time that you're going to do your scanning and then removed later.

      But for the most part, if you're going to do multi-day scanning, you really want to try to take every effort and get your client to buy into letting you have those targets up for all of the time that you expect to be doing your scan project. The spheres are a little more negotiable. They go up easily. They come down easily. But the general theory is you never want to move them. If you're going to do a bunch of scans, the targets have to stay exactly where they started.

      Once you've gone out of a space-- you go around the corner. Two hallways intersect, and you come up this one, go across. Once it's out of sight, then that's fine. It doesn't matter as much. And you can borrow the spheres and move them around with you. But the checkerboards, they go up, they stay up. So just run off a lot, bring a lot of tape, or glue, or whatever you can tape it to a wall or column, and expect them to be there for as long as possible. You're going to get extremely unlucky, unfun results if they start moving around.

      And there's horror stories out there in the wild about people who have thought they were doing the right thing by picking up a fallen tag off the ground. And they put it back up on the wall, and they say, oh, OK, it looks pretty close. I can even see the dust mark where I can-- I know exactly where it was. But these scanners are so precise that they really know down to-- way better than 1/16 of an inch about where these checkers are. And you'll have these scans not aligning properly. But the program thinks it's doing the right thing. It's just not going to be a very good time for your operator, who's going to be putting these together in the end.

      While you're going around site, you're going to encounter some obstructions, unless you're working in a really lovely wide open warehouse. But that's infrequent. Most of the time, we're scanning to gain the really interesting features somewhere on site. You're going to be passing by doors. You're going to be walking down hallways. You might even be looking through windows. You might be looking into a mirror. And all of these features throw off the scanner in a slightly different way. A window has a little bit of refraction as light passes through it. So it will look through it. But the readings that you might get from whatever is on the other side of the window are not going to be accurate because it's going to wave a little bit as it goes through the window.

      Mirrors are tricky. It will sort of read into the space and read the visual projection of what it saw in the mirror. So it's almost as if you'll be seeing into another room that doesn't exist at all on the other side of your wall. Puddles can be challenging. It'll look into a puddle and sort of see things. Water is similar to glass. It has a diffraction property different than air. So your picture comes out a little wonky.

      As you're going across your site, you want to say, OK, I want to maximize my efficiency. I want to make the most use of my time. And you just need to be aware of what your particular unit is capable of reaching. How far away is it going to look and still be within a good accuracy? And you want some overlap, sort of like what I'm displaying here with the green dots. This was a planning chart that I set up for one of our journeys out into the site to try to tell the operator, this is roughly where I want you to stand the scanner to get enough overlap between where I know the targets will be.

      And so that's another step that you need to take before you ever turn the thing on and start running, is to say, OK, where? I know how much time I have now. So how far in between do I want to go? Again, thinking, the faster that you go and the further spread out, the less likely that you are to have an adequate amount of stuff in the middle bleeding between one scan and the next to get them to talk nicely together and the more challenges you may experience further on when you do the processing.

      Which brings us right to the processing. So you've gone around in your site. Someone's parked an SD card on your desk and said, here you go, boss. And they walk away. Now what? So now you get to run it through the software suite that comes with your scanner. It might be [? Laika. ?] It might be FARO. The images that I'm showing you here happen to come from FARO. This program's called FARO SCENE. That's just what we use on my job site. So those are the images I have for you today. No preference either way beyond that.

      And so when you open it up, it's first going to try to chew through all of this. It's going to do some rehashing, let's say, of this database. That is what the scanner saw on that day. And it's going to turn it into a whole bunch of representations of those scans, 3D space, and each one of these colors represents a different scan that it saw. And it's trying to mesh them all together in a nice way. But it's not always easy to basically go from the top image to the bottom image, where everything suddenly says, oh, OK, yeah, this makes a lot of sense. I can see the steel, and the steel lines up with the steel. And the floor lines up with the floor, and the walls are all straight. It makes a lot of sense. Not necessarily exactly what happens the first time you run it through the automation cycle.

      So there are some techniques that we use. And the first one we're going to talk about is called cloud to cloud. And this is a pretty nice technology that exists, where it's basically all in the computer. And it's basically just looking to say, do I see some distinct feature in one scan? And can I see that same looking distinct feature in another scan? And if so, I'll line them up, and I'll assume that these two parts match. And now I have a relatable distance between these two scans and an angle about which to lock them together and say, OK, I know that A lines up with B. And it's pretty good. And you can go through levels of refinement to get better and better closeness out of your scans.

      But it's not always the most accurate thing. It's also very time intensive to let it run on its own without any help. There is another technique called target based, which is why you hung all those targets out in the field to begin with. And again, that automation software is going to look for all the targets that you should have placed nicely through the site. And it's going to say, OK, great. I don't need to see a pattern in the points themselves in the geometry. All I need now is to look for a pattern in space between targets A, B, C, and D. And now I know that all those points match up together. And that's a lot faster because it's a lot fewer things to look through.

      However, it's hugely contingent on your targets being nicely distributed for the first time. So again, going back to the field and the preplanning, making sure that all your targets are being hung nicely in the places that you think they'll be seen, so that when you get to this point, you can just go in here and say, open it up. OK, yes, I see that target that I hung on the wall. I see the target that I hung on the column, and I see the sphere that I placed on the ground in between. It goes a lot faster, but it just requires more preplanning and a little bit of verification to make sure that, yes, everything that I thought I could see on that day is actually still there when I open it up.

      And it's not perfect, unfortunately. Sometimes it gets a little overzealous. This is a picture from the train station, where I'm working right now. And we went down onto the tracks a couple of weeks ago, and someone was asking about the steel. So we went down to look at the steel. And they said, OK, yeah, we even took the targets for you down. So here you go. This should be nice and quick. And I ran it through. And it blew up and it said, I quit. This is partially why.

      It accidentally recognized all of the rivets as spheres because it's trained to look for a round feature of a certain diameter. By shear dumb luck, all of these steel elements fit those properties. So it drew a whole bunch of false positives for those spheres. It drew some other false positives for checkerboard targets. That's these little crosshairs right here. There's no way that the people got 40 feet up in the air to tape the checkerboard to the underside of that girder, though. So you can go through and help the program out and delete these false positives.

      It gets a little better, and sometimes you get some false negatives, too. The checkerboards work best when you're face on with them, when you're looking pretty much directly at it. And what I also learned the hard way is that it also helps when your printer still has a full toner in it. So my guy did exactly what I wanted. He taped up all my targets in beautiful locations. The scanner could see all of them. But the funny thing was that the algorithm couldn't figure it out because it said no, I see a big black box here and only a small one here. Because the toner quit on the first half of each sheet. So, best laid plans.

      Another way to do it is if your unit is enabled with total station capabilities or can otherwise link to a GPS signal, you can use that to bake that into your scan. And your scan will basically be right where it should be, at least to some GPS system, automatically when you open it up. Those units tend to be more expensive, though. So your mileage may vary as to what do you think you're getting-- just another consideration when you're commissioning or looking to purchase a unit.

      Roughly an hour of time in the field is worth an hour of time in the office. Speaking with some other people who do this frequently for construction projects or planning services, I've found that that's a number that holds true pretty well. It's not hard and fast. There are different things that will vary again. You expected targets to run quickly, but you've got a bunch of false positives or negatives, so you had to go in and do some surgery on it. OK, so you had to spend some more time. But you didn't know that until the toner quit on the printer, and that was your experience. So it's just a good planning number to keep that in mind.

      But more than anything, the more preplanning you can do and plan for in the field and set everything up nicely before the scanner runs, the better your experience is likely to be when you get to the post-processing time back in the office. OK. We're getting closer. You've baked the scan. The thing says, OK, I registered beautifully. And now we're ready to run. So in the Autodesk world, your program is called a ReCap. And this program is what you can use to step inside those laser scans and go back to the site that day.

      And it has some great capabilities. You can zoom, and pan, and orbit, and fly through the point cloud. And you can also measure between all the points with a couple of different locks. It's not just point to point. You can clean the scan. It lets you delete some of the points if you've got, say, like that mirror example we spoke about earlier. You say, OK, I know there's nothing on the other side of that wall that I care about. So I'm going to take a little marquee select, and sweep those points away, and hit Delete. And now they cease to appear.

      And it's often helpful when you're transmitting a laser scan file to some partners to clean up the scan. Because there's a lot of extra data in there-- just points that you're not particularly interested in, or maybe whoever you're dealing with who needs the scan today, they're only interested in, say, the steel. So you could even just cut out the entire bottom part if all they want to do is investigate the top of what you saw that day. And the next day, you might cut out just the top and say here's a floor flatness study for someone else. And so that's one of the things you can do with this program to help speed people up as they're investigating these as built conditions.

      There's a couple of different ways to view the scan. We were just viewing what's called the RGB value. I happened to run that scan in black and white mode because it goes faster. So what you're really seeing here is basically an intensity reading, although it tells you, this is my black and white value. They're actually one and the same when you run in black and white. But you can view it in a couple of different ways. And it's not contingent on what color or black and white settings you used in the field that day. This is an intensity read, which gives you kind of that color bar associated color to how well did it read any given point, or any given surface, really.

      So there were some general condition that it read down on the floor. The walls had a different pattern, and these shiny conduits up on the top-- different again. Sometimes it's just helpful if you're just presented a space and said, OK, look, you can detect different surfaces by using these different colors to help see what's going on or see perhaps what the scanner missed. Just because you stood out there and looked at it doesn't mean it actually grabbed everything. Sometimes there are dark spots. Sometimes a bird flies in front of just what you wanted to see.

      Another way to view it-- sorry, wrong way here-- is the elevation view. This can be really helpful not necessarily to say, OK, obviously, here in the whole space, the floor is low, and the ceiling is high. What we can do is you can refine the limits of that gradient, and you can get down to a very limited tolerance and say, I want to study the floor. And I want to know how close to the average or to the theoretical value of that floor elevation did the scanner actually read. And you can see the high points and the low points.

      And maybe if something is so far out of tolerance, it actually ceases to be on your gradient at all, because it's exceeded the bounds. And so there's some good stories out there of people using this against a curtain wall system to try to look at the tolerance of how well the curtains were actually mounted one panel to a panel to panel. Turns out they may not be actually all that flush. But you can go back to that contractor now and say, hey, I know the window is physically on the building. But you're so far out of tolerance, you're actually at risk of letting water flow into your building.

      There's an entire other way to view the scan, though. It doesn't just have to be in the points. And what you can do is you can view the photo sphere. And frequently, what these scanners are doing almost entirely for the models that you're probably encountering in this day is it's taking a 360 photo effectively while it's reading in the points. And that's how it's assigning those RGB values, or those black and white intensity values, to the points themselves. And so right here, I kind of tried to set up a slider view between the right half of the screen and the left half of the screen, switching one between the other.

      And what you get when you step into this photo sphere view is a very kind of Google Street View experience of what you saw on your site that day. And the photo quality is really pretty high. But the really good stuff that I like about this experience is that you can measure starting in the photo, switch back to the points to make sure that you're on exactly the right point that you thought you were on, and then go back to the photo and take a screenshot. And I can say I know I'm very confident when I tell you that from that floor to the bottom of this girder hiding behind this column here, it's exactly 11' 3.5".

      And you can say, OK, great. I didn't just have to make that [? blooby ?] mark up on top of some site photo. I can spin this around and say with pretty 99% certainty, I know exactly how high that piece of steel is above the floor. There's some limitations in the photos for your view, though. It's not perfect. It doesn't give you as many capabilities as when you're walking around in the points. You can only step into a photo sphere where the scanner actually stood that day.

      Google Street View is amazing because they take photos every 5 or so feet down the road. Very infrequently do we have time to do that in the construction enterprise, but it would be lovely if we could scan a site like that and say, I can tell you exactly how good it is every 5 feet. I've never had that kind of time, though. And you may not have the experience either. So you're limited to basically zooming and panning, but you can start that measurement or finish that measurement within the photo sphere. And you can pan around. You'll get this nice floor map in the photo sphere view. And that blue cone is your view angle. And it's telling you this is what you are looking at right now. So it gives you some nice indicators and some nice cues to say, OK, what am I looking at? Where am I?

      Here's an example of taking a measurement. We're measuring from the steel, where that point is right here. And we're measuring down to the floor. And this little white dot right here is telling you basically the orthogonal plane to whatever point it's landing on. And it's a nice cue to say, OK, I think I'm on the floor. Does the scan also think I'm on the floor? And sometimes yes, and sometimes no. And you say, OK, this is a pretty flat floor. But the scan may not think that. It may think, oh, I see all these ridges. And you'll see the white circle kind of dancing along as you track your mouse around, trying to find just the right place to land that measurement.

      There's some other nice measurement features. In case you haven't looked in ReCap recently, I think they added this in the version 4. You can now measure rounds. And it will read you some properties about the round object that you've landed on. So right here, what this measurement is measuring is between the soda bottle and the air can, between the outer surfaces of those two. But you can get some other statistics about some round objects. And you don't need to measure between them just to get them. You just say, I want to look at this pipe and measure the pipe for itself.

      And it will tell you the diameter, and it's also telling me basically the angular elevation of which way is this circle pointing, so to speak. Where's the axis of this pipe going? And it's nice because you can snap two points on a pipe, for example, and say, OK, I will measure here, and I'll measure here. And I look at the delta z between them. And I can suddenly determine the pitch. And I never had to be on site with the level to say, OK, do I think this is at an eighth, or a quarter, or zero? Now you have proof.

      And again, here's another example of measuring in just one dimension. I happened to pick z, but you can also lock it in x and y. You just need to be cognizant that if your scan is not referenced to any system, you may not have anything really of value to say, I want to know only in x or only in y. Those axes may not be aligned to anything. So it's just good things to remember how much information did I get fed in before I started reading answers out.

      Let's look at how we can now take this scan, now that we've baked it, and get it into some design software. I'll show you two examples today of going into AutoCAD and going into Revit. So what I like to do in CAD is start with the background. Let's say I work with the general contractor. So I borrow one from my designer from my architect. And that CAD file has a zero point somewhere in it. And I get fed some survey coordinate information from my survey team that works with me on site. And I'm expecting that point cloud to jump in right where I think it should.

      So there's a couple of fine tunings that you just need to do to make sure that that happens. It treats it just like an x reference. For those of you familiar with AutoCAD, you do Insert. And then there is an Attach Point Cloud. They give you its own dedicated quick button. And then you just need to be sure that where you are telling CAD to insert it is where you think it should be. And this is the key. And sometimes a checked box is still checked from the last thing that you did. And that's just the one thing. And there's horror stories of things flying apart just because of a little checkbox said, oh, well, put it where the last guy had the settings to pull into CAD.

      But assuming that you're being fed good survey coordinates and the survey coordinates from your field verification team are matching up to, let's say, what your designer's AutoCAD coordinates are, you should be able to set everything to 0 and just say, put it in at zero. The zero points are going to be the same. The elevation should be roughly the same. And you can tell it, I don't need to do any input to this. And you should basically be able to go from blank canvas to full colors on the canvas with two clicks. I can't guarantee you that. Obviously, you need to know your site and your conditions better than me. But this is possible to basically be able to go right into it and say Insert, and there it is.

      You can get a similar workflow going for Revit, not much different. They have this point cloud attach method, and it treats it roughly the same. The one trick in Revit, though, is just to know where the survey point and base point are. And those, as the Revit users in the room will remember, are generally hidden from the user because its best practice is not to ever touch them. If, however, your Revit project does have a survey point different from the base point, it's just good to remind yourself where are those.

      Because it might come to light that if you do by shared coordinates, that might be the key thing to get your point to land right where you think it should be. But if you don't know that about your project yet, you might have to do a little experimentation to find out exactly where the base point is or where the base point in your cloud was. But you can expect similar results, and it should land right where you think it should.

      The next key feature that I've really derived benefit from in my experience on site is being able to overlay these point clouds in a Navisworks environment and bringing Navis files into ReCap. That's another recent feature in case you haven't spun around in ReCap recently. So what you're seeing here are two examples of bringing Navis elements-- sorry, no, that's the Navis up there, and this is Navis down here. So this is zoomed in quite close to an MEP model overlaid on the points that they were modeled off of. And this is some new construction being modeled on top of my architect's model.

      So let's start with the ReCap example. You go into Real View. And there's a button called Attach Project. First, you need to set up an NWD file from your Navis environment, and you need to have a lot of show and hide pretty well filtered out. You really only want to be showing in that NWD only the things you really want to see overlaid against your photo sphere. You can only view this in the photo sphere view. Again, that's why you have to start in the real view. It doesn't work over the points unfortunately in ReCap. Sorry about that.

      But once you get all your show and hide set up, you can really generate these lovely images that show you exactly where all of your future construction, for example, is expected to be landing on top of your existing conditions. So on my site, for example, we have some really deep steel elements. That's what you're seeing here. And I'll go back and I'll show the first image. That's the girder right there before we did any work on it. And this is what we're expecting to do to it. And we're going to cut a nice hole in it and run our mechanical rack and a whole bunch of other flavors of MEP through it.

      And this is a really great talking point to be able to hand to people, even though it's not dimensioned to anything, and I'm stuck standing here, looking at what I'm looking at. But it's really helpful to be able to say to maybe somebody on site and say, what is it I'm actually doing. Why am I cutting this hole? Well, this is why, sir. It's because we've got to run our mechanical pipe rack through it.

      Helpful things in my experience just to remember when you're going to try to do a representation like this-- if you're being given or if you are the operator in charge of a Revit file with a whole bunch of architectural features in it, you just want to hide things like the ceiling. Even the see-through ceiling to hold a light on it will show up here as kind of a gray plane. And so just remembering to filter out a lot of elements-- like here, for example, I've filtered out walls, definitely ceilings. Usually light fixtures usually good stuff to take away and just hide in that NWD Save before you try to represent it here. So here's the comparison one more time.

      The other way that you can view things is going back into Navisworks and pulling in a ReCap file. Navisworks recently has been able to open up a tremendous number of file formats, and ReCap is one of the formats that it now supports. So it's lovely. You can't represent the photo sphere itself in Navis. You can't spin around in it. That's for ReCap. But you can represent all the points, and all those points will come in with that RBG or intensity value attached to it. And so let's tighten here, and I want to study this tight spot where I've got some existing facilities. Those are the black elements, and I've got some new stuff that I want to put up nearby. Those are the colorful MEP elements here.

      So what you can do now is you can now verify and say, OK, somebody handed me the previous phase's construction model, which I painted black. Then I went out and laser scanned it to verify that I want to make sure that they are exactly where they said they are. They're pretty close. Good job. But what we really get to know now is, ah, you didn't tell me about this rack up here. Good to know. And you can discover all of the features that might have been left out from someone's construction model or all of the field conditions that were encountered in the day two work that got changed from a design model that you got handed and said this is exactly what I did. Well, maybe. You didn't tell me about that pipe down low that's going to block my installation for everything above it.

      So, at this point, I'm happy to show off the software. And we can do some of these examples, and fly through them, and walk through them. Are there any questions first right now? Yes, sir.

      AUDIENCE: Did you [INAUDIBLE]

      JACOB RASKIN: There is a way, and I can try to show you. Maybe we'll work on that afterwards. It's a couple of steps that aren't quite as fast as I'd like to--

      AUDIENCE: [INAUDIBLE] It's not something that [INAUDIBLE].

      JACOB RASKIN: Yeah, it's not the most amazing workflow. Unfortunately, it's not, for example, quite as easy as Navis, where you can kind of point at the file and say relocate the file, kick it over, and respin it, and turn it upside down. And it records all of those features, and then spits them back to you. There is a way to do it in ReCap, though. It's a little tricky. And it's all about grabbing the features within the scan and saying, I want this wall to be facing north, rather than saying, I just know I want to take the whole scan and spin it 77.3 degrees. Any other questions? Yes, sir.

      AUDIENCE: The portability of the spheres--

      JACOB RASKIN: Yes.

      AUDIENCE: So I got--

      JACOB RASKIN: The sphere targets or the--

      AUDIENCE: The sphere targets.

      JACOB RASKIN: Yes.

      AUDIENCE: So they're usually steel [INAUDIBLE]

      JACOB RASKIN: That's what I have, too, yep.

      AUDIENCE: So if [INAUDIBLE]

      JACOB RASKIN: That's a great question. The question is, if you're traveling a far distance, for example-- getting on an airplane was this specific example-- how do you get around lugging along all of these spherical targets? It's the physical world holding you back from the digital world unfortunately. I'm really fortunate right now that I don't have to go very far. I haven't had to run up to that example.

      AUDIENCE: [INAUDIBLE]

      JACOB RASKIN: Yeah, it's not don't leave home. It's just bring your credit card, and go out to Michael's, and buy some spherical styrofoam at the local Michael's store. That's not a great workaround, and I've been told specifically don't do that. But I don't know. If you've got some acrylic paint that had a nice matte finish, I'd love to hear an example of I cheated, and it did work, even in Alaska. Yes, sir.

      AUDIENCE: Just [INAUDIBLE] Do you have any best practices for that?

      JACOB RASKIN: Sure. Can I repeat the question? The question is, I'm going out. I'm scanning my site. And the features in the ceiling, specifically these mechanical features, are dark and are not reading well or at all in my laser scan. What should I do? Is that the gist of it? OK. Are you scanning in color?

      AUDIENCE: Yes.

      JACOB RASKIN: OK. You might try scanning without color some time, or look to run it in that intensity view before you go out and send everybody out again to do the whole process. The guy who taught me actually encouraged me to not run in color. Our unit does it, but the few times that I have flipped the switch on, just to kind of do an example and say, let's do a comparison, I found that the white balance is actually somewhat tricky for the scanner to get correct on its own. And there's some photographic exposure settings generally with your scanner that you can toggle with.

      But in my experience, running it in black and white has actually been pretty reliable to run in either a perfect wide open sky, sunny day, cloudy day, but also to go down into the bowels of Penn Station, where I spend most of my week, and scanning underneath this train bridge. And there's nothing but construction lights and a couple of sodium bulbs on the wall. So even though you say, OK, I don't want to give up that color. Maybe there's some other feature that was valuable to gain that color for. It might just be worth first reading in the intensity view to see if the points got read at all, or if they're just kind of being painted black because the exposure was off. If they really didn't get read, it might be valuable to go back out and try running it with no color and just trying to gain the black and white values. Yes, sir, in the back.

      AUDIENCE: Yeah, so [INAUDIBLE]

      JACOB RASKIN: Personally, I try to always use targets. In a pinch, I'll do it cloud to cloud. Do you want me to expand on that?

      AUDIENCE: Yeah.

      JACOB RASKIN: OK. I am aware-- I believe you're plane based, is what you're calling it. I've seen it once or twice. I've heard it called top view registration-- totally unfamiliar with it, so I'm not going to try to answer anything about it, other than sorry, I don't know. But the thing that you did touch on that I've definitely experienced-- and you guys are liable to experience it as well-- is-- so my surveyors will go out. And we've done a couple of days of scanning in one corner of the building. And we've scanned the northeast corner of this space, for example. And they set up the targets, and they actually go in, and follow me up, and read in the target data and feed that data to me. And then we get satisfied. And we go off, and we do something else.

      And a month later, a question comes up, and we go back. And now we don't want to scan the northeast corner, but we want to scan the southeast corner. It's not ideal, but if you really have to sprint to go back to a site, where you already have some degree of control and survey available to you, the kind of cheater method that I've definitely employed is if you start a second round of scanning from nearby the actual area you want to know, you can go back into that first area, do one scan to be sure that you're picking up some of your old checkerboards that hopefully are still hung on the wall-- that's the contingent thing that has to be there. And then from there, you walk over to the other important area and say, OK, now I'm in my new area where I want to answer new questions. And now I can cheat and tie them together through a cloud to cloud registration basically by reaching across to my neighbor and using that one anchor scan to place you in space and orient you correctly.

      AUDIENCE: The reason I asked that is because we do a lot of scanning in mills [INAUDIBLE]

      JACOB RASKIN: As I said, I personally have not. But you bring up a great point about a dusty environment. And I think historically, some of the scanners did get a little thrown off by dust particles if they were particularly large. Yes, you're definitely liable to basically-- it's the idea of basically, if I go out in the rain or in the snow with my scanner, how well does it run? A dusty mine or a mill, for example, might be sort of a similar environment, where there's just stuff all over in the air. And you sometimes are liable to get a lot of false positive readings on the geometry about-- on the way to seeing to the wall, there's also a bunch of little dust in between. And you might pick that up. And that might throw off your target readings.

      AUDIENCE: Yeah, it was pretty much the dust [INAUDIBLE]

      JACOB RASKIN: Yeah, caulk.

      AUDIENCE: Yeah, [INAUDIBLE]

      JACOB RASKIN: Yeah, using a mastic like a caulk, caulking gun, keeps paper on the wall surprisingly well. That's what my surveyors-- turned out to be a great solution in the dusty environment that we had when tape wasn't going to do it. Yes, sir.

      AUDIENCE: Just wanted a couple comments-- I think that spheres have to be a particular size [INAUDIBLE]

      JACOB RASKIN: Can I repeat that into the microphone real quick? So the comment was that to your question about traveling with spheres, in the resellers who sell these sorts of targets, they now sell plastic ones that are collapsible and plastic. So they travel much more nicely. I've never actually seen one. That's great to know. Thank you. Yes, sir, in front.

      AUDIENCE: So what do you do-- because this generates large amounts of data. What are you doing to manage the gigabytes of data? And how do you share that within team members [INAUDIBLE] contractor? If you have 100 gigs of data, what are you doing yourself, and then how do you share that?

      JACOB RASKIN: Sure. So the question is, how do you manage the large file size that presumably you're originally encountering when you first open up your scan? And you get the raw thing, and you open it up in ReCap for the first time. And it's points everywhere. And so one thing you can do is you can do an export from ReCap. And I believe the feature they call it is to decimate it. And what that will do is it basically looks, and it says I'll only keep the data points, the physical geometry points, once every x number of distances.

      So it reads it to you and says, I'll throw away everything, except once every 5 millimeters or something like that. That's a great way to kind of just blindly automate it. Just say I want to cut down on the size of my file. You're losing some resolution that you took the time to take in, but if you assume that I'm scanning some 40 foot wall, for example, you don't need to know every single inch on that 40 foot wall, I hope. So if you know every other inch, or if you know every so often in between, then you can say, all right, I bet this contractor, for example, will tolerate some unknowns in between, as long as he sees the rough idea of exactly where the wall is in x and y. That might be a good way to do it.

      You can cut section boxes. You can delete all the data outside that with the cropping regions in ReCap. A nice thing that I like to do is you basically do an inside crop and hide all the points. And then you select everything else and say delete. And then you show the points that you just hid. That's a nice way to cut down on the file size. If you need to give really good accuracy about a relatively small area that you know about, again, my example of somebody only wants to know about the steel, cut the bottom half off the scan. Or someone only needs to know about the floor flatness, cut everything above 3 inches above the floor off the scan.

      Oftentimes, the scanner will look far beyond where you actually think you want to know about. The footprint of your scan grows tremendously because the scanner does its job. And it looks 10, 20 feet beyond the edge of where you thought it would. And so there's a bunch of loose stuff hanging off around. You just kind of create a perimeter around it. Section it out, and say, OK, throw away all this erroneous information that's beyond 20 feet of where I care about today.

      Oftentimes, I found it's helpful to keep a master file with all of the information. And you work on that one and say, OK, I crop out here, I crop out there. But what you need to do is you need to save that as a separate file. That's what actually throws away the points. And ReCap will kind of hiccup at you. And it will say, excuse me, sir, ma'am, are you sure you want to do that? I think the actual phrase it says heads up. And that's your clue that you're actually deleting the points you want to delete.

      The other side of the sword, though, is that if you're working on your master file, and you accidentally crop it and say Save As, yes, save in place, you don't want to overwrite your master file accidentally and suddenly crop out 90% of all the data you read in. So that's the trick. And a lot of people that I've met have had trouble just mastering that workflow of doing that Save As. Or the export to a unified RCS file is another way to make sure that you delete the data you think you're deleting in a safe manner. Does that help answer your question?

      AUDIENCE: Yes.

      JACOB RASKIN: Terrific. Blue, yes.

      AUDIENCE: Just some feedback on his question, do you have recommendations for sharing [INAUDIBLE]

      JACOB RASKIN: Right. The question is even after filtering down to whatever size is small enough, how do I share this massive file? Even cleaned up and sectioned down, these ReCap laser scan files are often tremendously heavy files. And that's usually for most people, part of the value is to just have all of that data there. For me, I still actually find that getting the person to come in and sit with me for 20 minutes and copy the file is usually the easiest, least painful. But I'm really fortunate, and most of the people that are attached to my project are usually within 30 miles of my job office.

      That's not always true. So what I've done in those cases is you can host it on a cloud share, like Box, for example. Set it and forget it. Run it overnight. It's not instant. It's got a large data file to upload into the cloud. So Google Drive, Dropbox, and Box share. You're absolutely correct. I still believe BIM 360, the entire environment will not host a ReCap format yet, no matter how small. Sorry, it's not possible to host it in your BIM 360 Glue environment. I'm eagerly awaiting the day when I can do that. I'm sure plenty of you guys are, too. I have had Autodesk turn to me and politely ask me to wait for that feature. So here we are. Yeah, just a cloud storage.

      When you do that, though, you just need to be sure that you ask your user, or you need to be sure of yourself, that you take the header file, which is the actual RCP file, as well as the support folder that goes with it. The way that ReCap works is similar to the idea of an NWF, for those of you who are Navis familiar. The NWF is a very light header file that points to the actual things and opens them up. And now you get this really rich environment of overlaid stuff. ReCap is the exact same. You've got this RCP header file, maybe only at most a couple of megabytes heavy. Most of the time, way less than that.

      That support folder, however, that's the real goldmine where all of your scans in the ReCap digestible format, that's where they're stored. That's the key thing. So the ReCap file goes up on Box no problem. It goes in five seconds, and you're done. You say that was fast. No, sorry, not quite. You have to take that support folder, and dump that into your cloud share, and wait eight hours or so. Hope for a fast internet connection. Take your computer and go sit somewhere where the internet is better. That limitation is-- I don't think I have any quicker response to that than anyone else. It's just go find the fastest internet you can and camp out. If you can afford to leave the computer there overnight, set it and forget it, and come back in the morning. Question here.

      AUDIENCE: To build off on that, there is a workaround. You know Navisworks?

      JACOB RASKIN: Yes.

      AUDIENCE: If you publish that under Save As [INAUDIBLE]

      JACOB RASKIN: That's a great thought. And this one I know I have time to show off. That's a great solution, actually. I've never used that myself.

      AUDIENCE: [INAUDIBLE]

      JACOB RASKIN: And it will-- but so yep. So let's review the one thing that-- because there's the one checkbox. Because when people go down that way, I've also encountered the why didn't it work. So here's real quick just kind of the in vivo view of the ReCap over my MEP coordination model. And here's kind of a nice cut right here through that actual girder. This was a nice talking point on my job, was how deep is the girder actually? Well, once we overlay it, I can tell you exactly. And you can measure the points here in Navis, just the same as you can in ReCap, just the same as you can measure any other geometric surface in Navis as well. But let's focus on the task at hand.

      And that one is under Output. And the trick here is you do Publish. That's this guy up here, Publish NWD. It's not just a Save As, as my friend here reminded us. But the one key feature right here is to hit this guy, Embed ReCap and Texture Data. That's the trick. Otherwise, you're not getting anything, other than whatever geometry may also be in your NWD. Oftentimes, I bet what your workflow is, is you're opening up nothing but the RCP. And then if you don't check that box, you get absolutely nothing. You'll have basically a zero size Navis file. So the key checkbox-- I know I can't zoom in right here anymore-- is Embed ReCap and Texture Data. That's a great point. And have you had experience where you actually dumped that on Glue and it keeps?

      AUDIENCE: Oh, yeah. Oh, yeah. [INAUDIBLE]

      JACOB RASKIN: Nice. That's a great workaround. But again, just to be clear--

      AUDIENCE: [INAUDIBLE]

      JACOB RASKIN: Yes, no? Mileage may vary-- different depending on your internet connection. I mean, as a gentle reminder, you can always throw stuff up on Glue. And it may not be able to represent it. Like a PDF, for example. I do that sometimes. I'll just throw a PDF into my BIM 360 Glue because it's very important that I represent that.

      AUDIENCE: You can't [INAUDIBLE].

      JACOB RASKIN: Right.

      AUDIENCE: But it will [INAUDIBLE]

      JACOB RASKIN: Right. And then what your people can do is they can right click on it and say download, even though Glue will say, I don't know what this is. But it'll still let you use Glue as kind of a dumb repository, to get back to your point. Yes, sir, coming up on the very end here.

      AUDIENCE: [INAUDIBLE]

      JACOB RASKIN: That might be a great other workaround. I haven't tried that, yeah. Yeah.

      AUDIENCE: So has anybody played with Forge, as far as getting other guys to deal with that in 360?

      JACOB RASKIN: The question was, has anyone still in the room dabbled in Forge enough to get beyond this limitation? I see no hands right now. But maybe we're just too early. It's 9:00 AM. You guys are powering through. Any last few questions? Gentleman in the front here.

      AUDIENCE: Yeah. Actually [INAUDIBLE]

      JACOB RASKIN: I think that would interest me and a lot of other people in this room, too. 20x compression through the cloud and millimeter accuracy.

      AUDIENCE: [INAUDIBLE]

      JACOB RASKIN: OK, yeah. I think a lot of people in the room would be interested to see that. Yes.

      AUDIENCE: What's the impact on [INAUDIBLE]

      JACOB RASKIN: Can you ask it a little louder? Sorry. There's a microphone here if you want.

      AUDIENCE: What's the impact on the model size when you publish that [INAUDIBLE]

      JACOB RASKIN: Got it. It's basically one for one. As large as your ReCap file is, you should expect the NWD embed to be about the same size to within, I'd say 5% in my experience. The question was, how big is the file size when we do Click Go in this dialog here and let it embed the ReCap data into a Navis format? It's basically just rehashing the data store one for one. And file size is identical. So if you have 30 gigabytes worth of data in ReCap or RCS files linked together, and you open them in Navis, you're going to likely come out with something on the order of 30 gigabytes NWD file.

      Speaking of those extra large file sizes, when you do do that, if you do a unified RCS or you do a unified NWD, just be careful about what data store your hard drive is actually formatted with. A FAT32 system is only able to run up to-- I forget exactly what the maximum is. But basically if you're not running an exFAT or an NTFS file system, you may, unfortunately, get through the entire conversion of this. And then Windows coughs at you and says, this is too big. Try again. And you may have wasted a good 30 minutes or so. So just keep that in mind.

      Running them through like a thumb drive, for example, those are regularly FAT32 formats. So either just get it onto an actual external spinning hard drive, or be sure to go back in and reformat your thumb drive to, say, NTFS or exFAT, before dumping that on and watching it work, work, work, and then say no. Great question. Any last ones? We got one minute left here. Is there any live stuff you guys want to see? One program versus the other? We kind of started walking through Navis right here.

      I happen to have ReCap open to about the same point here. So I mentioned that you can do this Attach Project. That's down here in the bottom right. And you click this little eyeball. I happen to already have the project attached and located correctly. So you click that eyeball. The first time, it takes it a second to think about it. But once it's done at once, it's basically hashed it. And it's good enough. And it behaves just like ReCap would otherwise. It pauses the rendering while you spin around. And here's some elevators. That's what this big stuff is. But you can spin around in it, and it renders it pretty much real time. It's a nice, chunky Navis rendering. But generally, for talking points, this is more than good enough. Yes, real quick.

      AUDIENCE: What's the best practice to align [INAUDIBLE]

      JACOB RASKIN: So sure. So the question really quick here is, how do we align the ReCap? We've gone out and done some scanning on site, and we've got a 3D model existing or already being built simultaneously. And we want to get the two to align. My first answer is, can you get a survey out there and actually get some real world coordinates? And feed those, one, into your registration program, so that your scans are located. Or two, can you feed that also into CAD or Revit, so that your WCS system or your survey base point in Revit is aligned to that same thing? If those two things are relatively the same, you're going to have a much easier time getting these two things to talk to each other and be oriented logically.

      But if you go out and you scan with zero targets, it's nearly impossible to get a true read on where these points are. It's not to say like, I took no targets. Therefore it's a zero chance. It's just I might have to scan in some corner of some curve and say, all right, I know where that curve is. I happen to see the curve in the scan. That's my one key feature that I'm going to use to align it. That's only, though, a pin to say, all right, I know where I start. Then you've got the orientation issue, so you need two or three points. And you kind of go through this survey exercise of-- it's a little surgical. So my best recommendation is basically just try to keep everything around zero, and it's going to be a lot of eyeballing it. If you've got zero information, you're going to have to pick a key feature. And kind of at the beginning, when you start doing these overlays, just say this is the rule. Whether we like it or not or whether it's the best for the entire project may not be universal.

      The zero point for my project happens to be inside my building. But it's not really related to anything. It's like 3 feet off of this grid line and 7 inches off the other. I happen to know those numbers now because I've dealt with it so much. And my survey system is actually not aligned to that at all. So I happen to have tattooed to the inside of my brain at this point the translation coordinates to get one to line up with the other. Maybe that's obviously not the most ideal situation, but it's halfway there. And at least I have a system for the model and a system for the survey.

      And I was fed from the survey folks, OK, there is some monument that they saw on site that they think is this. OK, fine. Now I can go in the model world and say, OK, I know where that same monument is supposed to live at here. I can measure that distance and any rotation in between those two and create a translation factor between those. I think that's just about all the time we have today. Thanks so much for your attention.

      ______
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      Nous faisons appel à Dynatrace pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Dynatrace
      Khoros
      Nous faisons appel à Khoros pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Khoros
      Launch Darkly
      Nous faisons appel à Launch Darkly pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Launch Darkly
      New Relic
      Nous faisons appel à New Relic pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de New Relic
      Salesforce Live Agent
      Nous faisons appel à Salesforce Live Agent pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Salesforce Live Agent
      Wistia
      Nous faisons appel à Wistia pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Wistia
      Tealium
      Nous faisons appel à Tealium pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Tealium
      Upsellit
      Nous faisons appel à Upsellit pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Upsellit
      CJ Affiliates
      Nous faisons appel à CJ Affiliates pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de CJ Affiliates
      Commission Factory
      Nous faisons appel à Commission Factory pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Commission Factory
      Google Analytics (Strictly Necessary)
      Nous faisons appel à Google Analytics (Strictly Necessary) pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Google Analytics (Strictly Necessary)
      Typepad Stats
      Nous faisons appel à Typepad Stats pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Typepad Stats
      Geo Targetly
      Geo Targetly nous permet de rediriger les visiteurs de notre site vers la page appropriée et/ou de leur proposer un contenu adapté à leur emplacement géographique. Geo Targetly se sert de l’adresse IP des visiteurs du site pour déterminer approximativement la localisation de leur appareil. Cela permet de s'assurer que les visiteurs ont accès à un contenu dans ce que nous évaluons être la bonne langue.Politique de confidentialité de Geo Targetly
      SpeedCurve
      Nous utilisons SpeedCurve pour contrôler et mesurer les performances de notre site Web à l’aide de mesures du temps de chargement de nos pages Web et de la réactivité des éléments successifs tels que les images, les scripts et le texte.Politique de confidentialité de SpeedCurve
      Qualified
      Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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      Cookies visant à améliorer votre expérience grâce à l'affichage de contenu pertinent

      Google Optimize
      Nous faisons appel à Google Optimize afin de tester les nouvelles fonctionnalités de nos sites et de personnaliser votre expérience. Pour ce faire, nous collectons des données comportementales lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, d'ID Autodesk, etc. La version de nos sites peut varier en fonction des tests de fonctionnalités. Le contenu, quant à lui, peut être personnalisé en fonction de vos attributs de visiteur. Politique de confidentialité de Google Optimize
      ClickTale
      Nous faisons appel à ClickTale pour mieux identifier les difficultés que vous pouvez rencontrer sur nos sites. L'enregistrement des sessions nous permet de savoir comment vous interagissez envers nos sites, notamment envers les éléments de nos pages. Vos informations personnellement identifiables sont masquées et ne sont pas collectées. Politique de confidentialité de ClickTale
      OneSignal
      Nous faisons appel à OneSignal pour afficher des publicités numériques sur les sites pris en charge par OneSignal. Les publicités sont basées à la fois sur les données de OneSignal et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que OneSignal a collectées sur vous. Les données que nous fournissons à OneSignal nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de OneSignal
      Optimizely
      Nous faisons appel à Optimizely afin de tester les nouvelles fonctionnalités de nos sites et de personnaliser votre expérience. Pour ce faire, nous collectons des données comportementales lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, d'ID Autodesk, etc. La version de nos sites peut varier en fonction des tests de fonctionnalités. Le contenu, quant à lui, peut être personnalisé en fonction de vos attributs de visiteur. Politique de confidentialité de Optimizely
      Amplitude
      Nous faisons appel à Amplitude afin de tester les nouvelles fonctionnalités de nos sites et de personnaliser votre expérience. Pour ce faire, nous collectons des données comportementales lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, d'ID Autodesk, etc. La version de nos sites peut varier en fonction des tests de fonctionnalités. Le contenu, quant à lui, peut être personnalisé en fonction de vos attributs de visiteur. Politique de confidentialité de Amplitude
      Snowplow
      Nous faisons appel à Snowplow pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Snowplow
      UserVoice
      Nous faisons appel à UserVoice pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de UserVoice
      Clearbit
      Clearbit autorise les données d’enrichissement en temps réel afin de fournir une expérience personnalisée et pertinente à ses clients. Les données que nous collectons peuvent inclure les pages que vous avez consultées, les versions d’évaluation que vous avez lancées, les vidéos que vous avez visionnées, les achats que vous avez réalisés, ainsi que votre adresse IP ou l’ID de votre appareil.Politique de confidentialité de Clearbit
      YouTube
      YouTube est une plate-forme de partage de vidéos qui permet aux utilisateurs de visionner et de partager des vidéos qui sont intégrées à nos sites Web. YouTube fournit des indicateurs sur les performances des vidéos. Politique de confidentialité de YouTube

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      Personnalisation des publicités à des fins de ciblage

      Adobe Analytics
      Nous faisons appel à Adobe Analytics pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil et d'ID Autodesk. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Adobe Analytics
      Google Analytics (Web Analytics)
      Nous faisons appel à Google Analytics (Web Analytics) pour collecter des données comportementales sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces données nous permettent de mesurer les performances de nos sites et d'évaluer la qualité de votre expérience en ligne afin d'améliorer les fonctionnalités que nous proposons. Grâce à des méthodes d'analytique avancées, nous optimisons également votre expérience dans les domaines suivants : communication par e-mail, assistance client et ventes. Politique de confidentialité de Google Analytics (Web Analytics)
      AdWords
      Nous faisons appel à AdWords pour afficher des publicités numériques sur les sites pris en charge par AdWords. Les publicités sont basées à la fois sur les données de AdWords et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que AdWords a collectées sur vous. Les données que nous fournissons à AdWords nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de AdWords
      Marketo
      Nous faisons appel à Marketo pour vous envoyer des e-mails dont le contenu est ciblé. Pour ce faire, nous collectons des données concernant votre comportement en ligne et votre interaction envers les e-mails que nous envoyons. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, de taux d'ouverture des e-mails, de clics sur des liens, etc. Nous sommes susceptibles d'utiliser ces données en combinaison envers celles obtenues auprès d'autres sources pour vous offrir des expériences améliorées en matière de ventes ou de service clientèle, ainsi que du contenu pertinent basé sur un traitement analytique avancé. Politique de confidentialité de Marketo
      Doubleclick
      Nous faisons appel à Doubleclick pour afficher des publicités numériques sur les sites pris en charge par Doubleclick. Les publicités sont basées à la fois sur les données de Doubleclick et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Doubleclick a collectées sur vous. Les données que nous fournissons à Doubleclick nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Doubleclick
      HubSpot
      Nous faisons appel à HubSpot pour vous envoyer des e-mails dont le contenu est ciblé. Pour ce faire, nous collectons des données concernant votre comportement en ligne et votre interaction envers les e-mails que nous envoyons. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, de taux d'ouverture des e-mails, de clics sur des liens, etc. Politique de confidentialité de HubSpot
      Twitter
      Nous faisons appel à Twitter pour afficher des publicités numériques sur les sites pris en charge par Twitter. Les publicités sont basées à la fois sur les données de Twitter et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Twitter a collectées sur vous. Les données que nous fournissons à Twitter nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Twitter
      Facebook
      Nous faisons appel à Facebook pour afficher des publicités numériques sur les sites pris en charge par Facebook. Les publicités sont basées à la fois sur les données de Facebook et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Facebook a collectées sur vous. Les données que nous fournissons à Facebook nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Facebook
      LinkedIn
      Nous faisons appel à LinkedIn pour afficher des publicités numériques sur les sites pris en charge par LinkedIn. Les publicités sont basées à la fois sur les données de LinkedIn et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que LinkedIn a collectées sur vous. Les données que nous fournissons à LinkedIn nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de LinkedIn
      Yahoo! Japan
      Nous faisons appel à Yahoo! Japan pour afficher des publicités numériques sur les sites pris en charge par Yahoo! Japan. Les publicités sont basées à la fois sur les données de Yahoo! Japan et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Yahoo! Japan a collectées sur vous. Les données que nous fournissons à Yahoo! Japan nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Yahoo! Japan
      Naver
      Nous faisons appel à Naver pour afficher des publicités numériques sur les sites pris en charge par Naver. Les publicités sont basées à la fois sur les données de Naver et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Naver a collectées sur vous. Les données que nous fournissons à Naver nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Naver
      Quantcast
      Nous faisons appel à Quantcast pour afficher des publicités numériques sur les sites pris en charge par Quantcast. Les publicités sont basées à la fois sur les données de Quantcast et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Quantcast a collectées sur vous. Les données que nous fournissons à Quantcast nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Quantcast
      Call Tracking
      Nous faisons appel à Call Tracking pour fournir des numéros de téléphone personnalisés dans le cadre de nos campagnes. Vous pouvez ainsi contacter nos agents plus rapidement et nous pouvons évaluer nos performances plus précisément. Nous sommes susceptibles de collecter des données sur votre utilisation de nos sites en fonction du numéro de téléphone fourni. Politique de confidentialité de Call Tracking
      Wunderkind
      Nous faisons appel à Wunderkind pour afficher des publicités numériques sur les sites pris en charge par Wunderkind. Les publicités sont basées à la fois sur les données de Wunderkind et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Wunderkind a collectées sur vous. Les données que nous fournissons à Wunderkind nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Wunderkind
      ADC Media
      Nous faisons appel à ADC Media pour afficher des publicités numériques sur les sites pris en charge par ADC Media. Les publicités sont basées à la fois sur les données de ADC Media et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que ADC Media a collectées sur vous. Les données que nous fournissons à ADC Media nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de ADC Media
      AgrantSEM
      Nous faisons appel à AgrantSEM pour afficher des publicités numériques sur les sites pris en charge par AgrantSEM. Les publicités sont basées à la fois sur les données de AgrantSEM et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que AgrantSEM a collectées sur vous. Les données que nous fournissons à AgrantSEM nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de AgrantSEM
      Bidtellect
      Nous faisons appel à Bidtellect pour afficher des publicités numériques sur les sites pris en charge par Bidtellect. Les publicités sont basées à la fois sur les données de Bidtellect et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Bidtellect a collectées sur vous. Les données que nous fournissons à Bidtellect nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Bidtellect
      Bing
      Nous faisons appel à Bing pour afficher des publicités numériques sur les sites pris en charge par Bing. Les publicités sont basées à la fois sur les données de Bing et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Bing a collectées sur vous. Les données que nous fournissons à Bing nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Bing
      G2Crowd
      Nous faisons appel à G2Crowd pour afficher des publicités numériques sur les sites pris en charge par G2Crowd. Les publicités sont basées à la fois sur les données de G2Crowd et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que G2Crowd a collectées sur vous. Les données que nous fournissons à G2Crowd nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de G2Crowd
      NMPI Display
      Nous faisons appel à NMPI Display pour afficher des publicités numériques sur les sites pris en charge par NMPI Display. Les publicités sont basées à la fois sur les données de NMPI Display et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que NMPI Display a collectées sur vous. Les données que nous fournissons à NMPI Display nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de NMPI Display
      VK
      Nous faisons appel à VK pour afficher des publicités numériques sur les sites pris en charge par VK. Les publicités sont basées à la fois sur les données de VK et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que VK a collectées sur vous. Les données que nous fournissons à VK nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de VK
      Adobe Target
      Nous faisons appel à Adobe Target afin de tester les nouvelles fonctionnalités de nos sites et de personnaliser votre expérience. Pour ce faire, nous collectons des données comportementales lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP, d'ID d'appareil, d'ID Autodesk, etc. La version de nos sites peut varier en fonction des tests de fonctionnalités. Le contenu, quant à lui, peut être personnalisé en fonction de vos attributs de visiteur. Politique de confidentialité de Adobe Target
      Google Analytics (Advertising)
      Nous faisons appel à Google Analytics (Advertising) pour afficher des publicités numériques sur les sites pris en charge par Google Analytics (Advertising). Les publicités sont basées à la fois sur les données de Google Analytics (Advertising) et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Google Analytics (Advertising) a collectées sur vous. Les données que nous fournissons à Google Analytics (Advertising) nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Google Analytics (Advertising)
      Trendkite
      Nous faisons appel à Trendkite pour afficher des publicités numériques sur les sites pris en charge par Trendkite. Les publicités sont basées à la fois sur les données de Trendkite et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Trendkite a collectées sur vous. Les données que nous fournissons à Trendkite nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Trendkite
      Hotjar
      Nous faisons appel à Hotjar pour afficher des publicités numériques sur les sites pris en charge par Hotjar. Les publicités sont basées à la fois sur les données de Hotjar et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Hotjar a collectées sur vous. Les données que nous fournissons à Hotjar nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Hotjar
      6 Sense
      Nous faisons appel à 6 Sense pour afficher des publicités numériques sur les sites pris en charge par 6 Sense. Les publicités sont basées à la fois sur les données de 6 Sense et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que 6 Sense a collectées sur vous. Les données que nous fournissons à 6 Sense nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de 6 Sense
      Terminus
      Nous faisons appel à Terminus pour afficher des publicités numériques sur les sites pris en charge par Terminus. Les publicités sont basées à la fois sur les données de Terminus et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que Terminus a collectées sur vous. Les données que nous fournissons à Terminus nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de Terminus
      StackAdapt
      Nous faisons appel à StackAdapt pour afficher des publicités numériques sur les sites pris en charge par StackAdapt. Les publicités sont basées à la fois sur les données de StackAdapt et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que StackAdapt a collectées sur vous. Les données que nous fournissons à StackAdapt nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de StackAdapt
      The Trade Desk
      Nous faisons appel à The Trade Desk pour afficher des publicités numériques sur les sites pris en charge par The Trade Desk. Les publicités sont basées à la fois sur les données de The Trade Desk et sur les données comportementales que nous collectons lorsque vous naviguez sur nos sites. Il peut s'agir de pages visitées, de versions d'évaluation activées, de vidéos lues, d'achats, d'adresses IP ou d'ID d'appareil. Ces informations sont susceptibles d'être fusionnées envers des données que The Trade Desk a collectées sur vous. Les données que nous fournissons à The Trade Desk nous servent à personnaliser les publicités numériques afin de les rendre plus pertinentes. Politique de confidentialité de The Trade Desk
      RollWorks
      We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

      Voulez-vous améliorer votre expérience en ligne?

      Nous souhaitons vous offrir une expérience optimale. Si vous choisissez Oui pour les catégories présentées dans l'écran précédent, nous collecterons vos données et les utiliserons afin de personnaliser votre expérience et d'améliorer nos applications. Vous pouvez modifier vos paramètres à tout moment en accédant à notre Déclaration de confidentialité.

      Votre expérience. Votre choix.

      Nous respectons votre confidentialité. Les données que nous collectons nous aident à comprendre votre utilisation de nos produits, à identifier les informations susceptibles de vous intéresser, mais aussi à améliorer et à valoriser votre engagement envers Autodesk.

      Nous autorisez-vous à collecter et à utiliser vos données afin de personnaliser votre expérience ?

      Découvrez tous les avantages d'une expérience personnalisée. Vous pouvez gérer vos paramètres confidentialité pour ce site. Pour en savoir plus sur les options disponibles, consultez notre Déclaration de confidentialité.