![]() ![]() Laser scanners provide highly accurate detail data with very tight tolerances, so they are generally used for interiors and/or confined, tight spaces, or jobs that require higher accuracies. (To learn more about photogrammetry check out Blog#6 “UAV Adoption on the Construction Site Gives a Glimps of the Future”.) You also need legal clearance to fly in the area, and good weather. However, they must be flown by an FAA licensed pilot and the aircraft must be licensed with the FAA. UAVs can cover large and difficult or dangerous areas to access and are also great in providing still and video imagery and/or live video for situational awareness. To better understand the individual strengths that laser scanning and UAV photogrammetry have, here is the breakdown. Which reality capture tools are right for me? If you’re using Autodesk products they can be incorporated into a Recap format (RCP), or the more widely open LAS (LASer) format, and even the most simple E57 or text file format. One of the many benefits of utilizing point clouds is the many file formats they work with. A raw point cloud can contain millions of 3D points, which can be cleaned to remove unwanted data, simplify the file size and provide a clear data set for the end users. The point cloud is the most widely used output from both laser scanning and photogrammetry software. What file types does reality capture produce? What can I do with them? In this case, reality capture tools stemmed from traditional survey (which is still the foundation and key element in collecting accurate data that is in project coordinates and can be easily utilized during any project phase). Like all new technologies, reality capture solutions grew from adaptations to existing technologies. All point clouds contain some sort of coordinate system data, but when the point cloud data is created using project or state plane coordinates they become more valuable because the point cloud can be easily shared, combined seamlessly with existing BIM files, site data and even previous point cloud data. They involve aligning or registering the data in a coordinate system or project model. These data sets can range in size from a few hundred megabytes to monster files containing 100s of gigabytes of data.Īfter the capture step, the data-processing workflows for laser scanning and photogrammetry are very similar. A Point cloud is a set of data points in some coordinate system, containing X, Y, and Z coordinates and can also contain RGB values for each individual point. The most common type of reality capture uses laser scanners and UAV photogrammetry to produce simple images or 3D point clouds. Reality capture is simply the activity of quickly and cost effectively collecting the best, most accurate data about real-world conditions. The workflow is not limited to any specific professional area and it can be used by planners, engineers, owners, contractors, and fabricators. ![]() Today, all projects should consider adopting reality capture throughout the lifecycle. In the past few years, the technology has made dramatic increases in performance and ease of use, and seen such a sharp decrease in price. Even though you might have some preconceived ideas that reality capture has a limited area of use, or is cost prohibitive for broad adoption, the technology is ready for everyday use in a variety of applications. Reality capture technology might sound like something out of a Star Wars movie, but it’s a reality.
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