多特征结合的疲劳驾驶检测方案设计与FPGA验证OA

With the rapid development of the social economy,people's demand for travel and reliance on vehicles continue to grow,leading to an increasing volume of road traffic.This has given rise to various traffic problems,making driving safety increasingly critical.In view of this,targeting the scenario of fatigue driving detection for internet of vehicles within internet of things,computer vision technology is used,and based on facial features obtained from facial detection and head features provided by head pose estimation,a software and hardware collaborative fatigue driving detection scheme that combines multiple fatigue features is investigated and designed,which effectively reduces the false alarm rate.The proposed scheme is ultimately verified on Field Programmable Gate Array(FPGA),and the detection accuracy reaches approximately 96%,with hardware test results confirming its effectiveness and feasibility.