[mekkkkkk]

Yeah, I guess achieving arbitrarily huge images is just a matter of increasing the resolution/number of sensors and then applying the correct optics. The bottleneck (and technical achievement) of a system like this would be the processing power required for stitching and analyzing these massive images in anything close to real time.

[londons_explore]

The processing can be parallelized too. Just split the data into chunks and hand it out to GPU's.

I don't forsee any scaling limits really, apart from $$$'s and power availability

[jsjohnst]

Exactly, this is a trivially parallelized problem. My iPhone 11 Pro can easily do real time face boundary display with dozens of faces at once on a 12MP sensor (and that’s not it’s sole purpose, if all it cared about was face boundary identification I’m sure it could do a lot more). With custom ASICs, the face boundary checking could be embedded alongside the sensor array in this mega camera sensor setup. Then once a face boundary is identified, you send just those pixels off to a GPU array to do the face identification.