面向人形机器人的FPGA综合图像处理系统OA

To address the high latency of ARM architecture and the limited functionality of FPGA solutions,a collaborative architecture-based image processing system combining FPGA and PC is designed.The system integrates functions such as brightness,contrast,and color temperature adjustment,green screen matting,skin tone ROI,traffic light ROI extraction,and invalid region removal.The host computer builds a web interface using the Python Flask framework to implement parameter configuration and result display,and also extends the gesture recognition functionality.Data interaction is achieved through a USB-UART link,and the core module's processing speed remains stable at 560 Mb/s,significantly improving image processing efficiency and meeting real-time requirements.This system provides high-quality image input for humanoid robot vision front-end,adapting to low-light and occlusion scenarios,with broad applica-tion value.