The first video shows my first experiment of live recognition using a Pi3, USB webcam, Movidius\Caffe and OpenCV on a pre-trained neural net called SqueezeNet.

Now that we have a successful benchmark for Movidius, we will turn our efforts to benchmarking without it, and using YOLO\Darknet instead of Caffe\Squeezenet.

After that, we will train\compile a custom neural net on traffic-related images which should achieve a faster recognition speed on either platforms.  The goal is < 40 ms on a small custom set of objects.