Real-time Traffic Surveillance

With cities trying to reduce traffic accidents and improve traffic flow, hundreds of thousands of traffic cameras are currently deployed in major cities for traffic surveillance. However, processing such data in real-time is still challenging, due to the cost of bandwidth as well as hardware. In this project, we look at how to process such large data at a minimal cost by designing lightweight filtering algorithms, as well as utilization of low-powered edge devices.