[commonlands]

Yes, their neural-net based image tuning is the core IP/feature for the vision part of the product.

The comparison images/videos look like their ISP tuning (/ neural net) is cranking up the saturation too much and metering only in the center. Might just be the way it was set for the promotional video, so time will tell. All of these can be easily integrated into Macbook webcameras via software updates/tools.

"We gave the Opal C1 the fastest neural processing chip ever on a webcam. At 4 trillion operations per second, it rips through ML models at blazing speeds"

If they want/wanted optimal lens+sensor performance, the industrial designers would need to give a bit. The 0.9" depth is tricky for all-glass wide-angle lenses and 1/2.3" format type sensors. My guess is the device would need to be ~1.4" to incorporate an all-glass lens that's fully suitable for this sensor, particularly at F/1.8. Can talk more about this offline (commonlands.com).

It sounds like they are still figuring out their lens. The writing on the camera says 3.3mm~=100deg DFoV; 19mm equivalent on 35mm full frame. The webpage indicates 4.81mm~=78.6deg DFoV; 28mm equivalent on 35mm full frame.