I've been using high-end industrial 3D scanners at work for 20+ years. The Revopoint POP is a consumer level 3D scanner that has high end features. It has dual IR sensors, IR projector, and a color texture map camera. It does feature or target stitching of accumulated scans. The frame rate is 8FPS.
In a previous test I found that you could achieve the stated 0.3mm accuracy on small turntable parts. Using Markers on a large object I found that the error was 15mm on a 1.37M object! I was curious how feature based scanning would do on a large object. I set up an experiment to scan a large piece of float glass (50mm x 1650mm) that I spray painted flat white. The plate is very flat and so you can Best-fit the 3D scan data to a plane. I designed and 3D printed some flat Pyramids to add features to the flat plate. You can measure the deviation of the scan data from the plane. In my test of combining 400+ scan frames I got an error of 57mm over a distance of 1.5M. This is worse than the Marker Alignment. I also had to scan at a slower speed.
Things used:
* Revopoint Pop 3D scanner ( [ Ссылка ] )
* Marker Targets ( [ Ссылка ] )
* Microphone stand ( [ Ссылка ] )
FTC Disclaimer:
We may earn commissions for purchases made through the links below.
As Amazon Associates we earn from qualifying purchases.
