New worm-gear drive works great (though still a bit wobbly). Moving the camera works great and i adjusted only 4 values in the existing firmware to make it fully functional (steps per rotation and limits)
The power of the gear reduction is impressive and I‘ll definitely design some kind of covers for the mechanism ^^

I am currently refining the scanning rig that can be both used with handheld 3d scanners as well as with the openscan camera system.
This is part of a 24h testrun to see how PLA parts can handle those quite significant forces of several Nm on 1mm teeth. Surprisingly this morning the machine was still running and there is only very minor wear after 5000 repetitions.

I am currently building a new scanning rig, that allows even automatic capture with handheld scanners. I really struggle with not losing the track when manually moving the scanner around the object.
This setup is a hybrid of the OpenScan Classic and Mini variant were the object is only moved on one axis.
The main advantage is, that the scanner distance can be adjusted (almost) freely.

The design is simplistic but very versatile and I am currently printing a worm-gear variant. The timing belt solution works well, but as soon as power gets cut, the scanner slams down into the table.
Maybe anyone knows another mechanism that can easily amplify torque (1:100) and is (mostly) printable. Pls let me know your thoughts.

Raw 3d scan from 300 photos

Community based 3D Scanning benchmark (45mm miniature)

The goal is to include as many 3D scanners as possible (with multiple scan results from different users) to get some real world data for the various devices. There is a larger and more technical benchmark (ScanBench) available too and I will update the results too.

See all the details and limitations here 3D Scan Benchmark Repo on Github

A note on transparency: I have been developing open-source 3d scanners for multiple years and till this day, I am hesitant to claim any accuracy (as this would require a proper/expensive lab). Therefore I created this scanning benchmark to show real world results from various users. This is the opposite approach

If you'd want to contribute, feel free to reach out and I'll provide a figurine free of charge (or support by buying one of the miniatures here: https://openscan.eu/products/openscan-benchy

It would be a great help if you can share this experiment to other places to encourage more users to participate as several manufacturers seem to block my request to contribute an official reference scan with their devices!

PS: with the next iteration, I will add the specs of the scanner to each image :)

I just updated the 3D Scan Benchmark Repo on Github to include the 15cm ScanBench (Makerworld). I also automated most of the pipeline, so it is much easier to add a new scan now.

The goal is to include as many 3D scanners as possible (with multiple scan results from different users) to get some real world data for the various devices.

Download + print the model and share your 3d scan result (and optional but highly appreciated scan details like time/prep/...)

OpenScan is in Brussels this week, exhibiting with our partner JTC at the Summer Reception of the State Government of Saxony-Anhalt – showcasing open-source 3D scanning as part of Halle (Saale)’s digital transformation, alongside speakers including Minister-President Sven Schulze and EU Commission President Ursula von der Leyen. Open hardware belongs in the conversation on digital sovereignty.

I'm not sure if this is a stupid or good idea, though I'm asking the hive-mind to get some input and maybe pointers to prior experiments.

I just added a mirror to the OpenScan Mini turntable in order to capture the underside of the object at the same time. I used 100 positions with focus stacking to cover the wide depth-range and used the new OpenScan3 firmware to do the stacking right on the Raspberry Pi.

This approach seems to only work for a certain perspectives as my ordinary mirror creates a second and third copy for low rotor angles (in respect to the mirror), probably due to double/tripple reflections within the glass. A surface mirror would definitely solve this issue. For larger angles, this problem disappears.

Taking both halves (as raw pointcloud) and combining those to one single object works well with cloudcompare/meshlab and could be automated...

What do you think? Do you know of any prior works or similar approaches?