The main problem with off-the-shelf solutions is that they add another set of cameras, and afaik nothing exists that allows custom cameras.
We're gonna need an FPGA anyway due to the large amount of IO (2 cameras for AR, 2 for eye tracking, IMU, whatever other sensors we need, plus potentially mmwave radar if we decide to go that way) so it's tempting to put the processing on the FPGA as well.
Hand tracking is a difficult beast especially, and we would like to just use the new Ultraleap module for that, but they don't support Linux yet.
Eye tracking is relatively simple because it's a closed/controlled environment. Just some IR LEDs, an IR camera, and some edge detection and math.
SLAM (positional tracking) has a lot of different approaches . There's open source software, but it's generally running on a normal computer and that's not particularly efficient (especially with our GPU already loaded). Some research papers use a FPGA, but the code is rarely available so you just have a starting point.
You could probably crib the software from DepthAI or similar? We could implement the AI coprocessor they're using and adapt the code. I haven't looked closely enough yet to see whether that's a good use of resources.