The AI Box with ReID accelerated application performs distributed, scalable, multi-stream tracking and Re-Identification. The app leverages machine learning for pedestrian tracking and decoding multiple camera streams and performs pedestrian detection and tracking across camera feeds. Common applications include smart cities, retail analytics, and video analytics.
No, the app does not require any experience in FPGA design.
This app is free of charge from Xilinx.
Xilinx has tested a specific set of cameras that support H.265/H.264 RTSP streams. However, the app is expected to work with any H.264/H.265 encoded streams.
Learn all about adaptive SOMs, including examples of why and how they can be deployed in next-generation edge applications, and how smart vision providers benefit from the performance, flexibility, and rapid development that can only be achieved by an adaptive SOM.