In the IoT era, over a billion cameras are being deployed to better manage our cities, retail stores, transit hubs, and factories. However the ability to extract real-time actionable insights from video at this scale is incredibly challenging. Aupera, a Video analytics innovator is providing highly efficient and agile video analytics solutions based on Xilinx FPGAs. With hardware-aware machine learning acceleration, Aupera edge AI solutions achieves high channel density, low power consumption, low latency and fast deployment across diversified IoT scenarios. This talk will introduce Aupera’s Edge AI solution based on Xilinx computing platform and will include customer case studies.