This is the most tricky part. We have something that works with a GTX 1080 Ti… fine… what doesn’t work with a 1080 Ti? The true challenge is to find some computing unit that is small enough to align with the current design of the entrance system, while being able to compute a Convolutional Neural Networks responses (the brain of Sam).
By courtesy of Zsedrovits Tamás, we got a Jetson TX1 board to run Sam’s recognition software onboard. Currently we are working with PyTorch 0.3 that is still in beta, but extremely convenient for fast prototyping. Our plan is to deploy the best models in Caffe2 which is rather focusing on running things fast.