Testing Visioneer's phase I design implemented with OpenCV in cross traffic.

https://www.youtube.com/watch?v=74L4lV5V-yQ&feature=youtu.be

Visioneer's phase II design will focus on improving traffic detection and accessibility with neural nets , machine learning, deep learning, or other open source AI frameworks.

The Pi Zero doesn't have the hardware to support sophisticated neural nets, so we are designing custom datasets which will be minimal in size and complexity.  We are also optimizing OpenCV to maximize the camera FPS.  TinyYOLO\Darknet is our current open-source choice of local neural net, but we also have a Movidius (Myriad 2) USB ($79), which can process Caffee 1 networks at around 100 gflops, while only using 1W of power.