A point cloud is a collection of millions of discrete points, each with its own x, y, and z coordinate values that together form a digital representation of a 3D scene. There are several ways to capture point cloud data but the most common are LIDAR and photogrammetry. With LIDAR, laser beams are pulsed at an object's surface and each return is recorded as a point in 3D space. With photogrammetry, the 3D surface can be deconstructed to view the underlying pixels that form the point cloud. The cool thing about point clouds is that you can embed additional information in each point, such as color, GPS coordinates, and even temperature, making point clouds the foundational data structure for digital twins.

Stitch3D is on a mission to bring the power of digital 3D to the world. Although LIDAR sensors provide a quick way to capture detailed 3D scans, the resulting point clouds are often dense and generate vast amounts of data. Efficiently processing, visualizing, and analyzing this data is challenging, particularly if additional insights such as change detection, 3D mapping, and object detection are desired. We built Stitch3D to streamline this entire process and help make 3D accessible to everyone.

Stitch3D is a browser-based 3D data platform that lets you easily host, manage, visualize, process, and share point cloud files of any size or format. Simply upload your point clouds (LAS/LAZ, E57, PLY, etc.) toStitch3D and use our powerful web visualizer to navigate. Unlike other data management solutions such as Google Drive and DropBox, Stitch3D provides instant access to view and analyze your point clouds. Take advantage of analytical tools such as 3D mapping, area and volume measurements, and topographic analysis for a fully integrated experience. Lastly, invite your team to collaborate in real time or publish your 3D viewer for anyone to view or download.