Generating a high resolution point cloud

I would like to generate a point map of a 5x5x5 cm cube from a distance of 10 cm and a spacial resolution of 100 microns and as high a scan frequency as possible, at least 1 kHz. The cube may or may not be optically transparent, so I may need two setups at 90 degree oriientation. I have considered raspberry pi/camera combinations, lidar configurations, but have not found anything that fits. Any suggestions or recommendations would be greatly appreciated.

Hello Paul2000 and welcome to the forum,

Can you elaborate on the nature of the scan? I would imagine that two (or more) camera’s separated and in a fixed position could accomplish this. setting up an algorithm on the other hand…

You may want to consider for this project the following RealSense Camera/Sensors from Intel

Optically transparent materials may need a slight dusting of something like corn starch.

Kristof_2649
Thank you for the helpful suggestion - I was not aware of the machine vision offerings from Intel.

Michael, Thank you for the feedback. The cube changes shape over time so I will need to scan periodically. I plan to use reference points on the cube to orient the coordinate system, but agree that the algorithm will not be trivial.