基于YOLOv8和人脸关键点检测的驾驶员疲劳驾驶识别算法设计

Design of Driver Fatigue Recognition Algorithm Based on YOLOv8 and Face Key Points Detection

据统计,交通事故中因为疲劳驾驶、精神力不集中所导致的事故率占了93%。针对这个问题,引入人脸68个关键点,基于深度学习及机器视觉算法概念,结合YOLOv8模型以及相关疲劳驾驶判定机制,通过PERCLOS算法、MAR算法和EAR算法以及HPE算法提高系统的准确性和可靠性,成功构建了一套可以对疲劳驾驶行为进行识别的算法。

According to statistics,the accident rate caused by fatigue driving and mental inconcentration in traffic accidents accounts for 93%.To solve this problem,68 key points of face are introduced in this paper.Based on deep learning and machine vision algorithm concepts,combined with YOLOv8 model and related fatigue driving judgment mechanism,PERCLOS algorithm,MAR algorithm,EAR algorithm and HPE algorithm are used to improve the accuracy and reliability of the system.A set of algorithms for recognizing tired driving behavior is successfully constructed.