AI at the Edge Challenge Spotlight: Saving Bandwidth with Anomaly Detection

Originally published at: AI at the Edge Challenge Spotlight: Saving Bandwidth with Anomaly Detection | NVIDIA Developer Blog

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…