Originally published at: https://developer.nvidia.com/blog/ai-at-the-edge-challenge-spotlight-saving-bandwidth-with-anomaly-detection/
Most smart city applications today rely on analyzing large amounts of video data from cameras. The ability to identify and reason over the most relevant events within a video is essential to build efficient and scalable applications. In the recently concluded AI at the Edge Challenge, team SmellslikeML proposed an NVIDIA Jetson Nano-based application and…