Earlier quoted context omitted.
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.
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
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.