This UltraHD smart camera implements face detection with network and display functionality. It comes with built-in machine learning for applications such as pedestrian detection, face detection, and people counting with local display and RTSP streaming.
No, the app does not require any experience in FPGA design.
This app is free of charge from AMD Xilinx.
Most USB cameras are expected to work but AMD Xilinx has primarily tested the app with Logitech Brio and recommends its use for best performance.
The Smart Camera application has been primarily designed and tested with onsemi’s AR1335 image sensor. You will have to update the design and application if adding another MIPI sensor.
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.
Demand for robotics is accelerating rapidly. Building a robot that is safe and secure and can operate alongside humans is difficult enough. But getting these technologies working together can be even more challenging. Complicating matters is the addition of machine learning and artificial intelligence which is making it more difficult to keep up with computational demands. Roboticists are turning toward adaptive computing platforms which offer lower latency and deterministic, multi-axis control with built-in safety and security on an integrated, adaptable platform that is expandable for the future. Read the eBook to learn more.