The invention relates to the field of fatigue detection, in particular to a driver fatigue state detection method and system based on machine vision. The method comprises the following steps: acquiring a multi-frame preprocessed facial image of a driver, and marking key points; any sampling moment is used as a target frame, the target frame is used as a midpoint, a preset time period is used as a length to construct a time frame, sampling moments except the target frame in the time frame are used as reference frames, and the initial fatigue degree of the face image of the target frame is calculated according to the displacement amount of key points in the reference frame and the target frame in the time frame; and calculating eye state evaluation according to the fluctuation of the Euclidean distance between the key points in the time frame and the initial fatigue degree, and generating and sending an alarm signal in response to the fact that the eye state evaluation is greater than a preset fatigue threshold value so as to complete fatigue state detection. According to the technical scheme, the precision of the fatigue state detection result can be improved.
本发明涉及疲劳检测领域,更具体地,本发明涉及一种基于机器视觉的驾驶员疲劳状态检测方法及系统。所述方法包括:获取驾驶员多帧预处理后的面部图,并标注关键点;将任一采样时刻作为目标帧,以目标帧为中点、预设时段为长度构建时间框,将时间框中除目标帧以外的采样时刻作为参考帧,根据时间框内参考帧与目标帧中关键点的位移量计算目标帧面部图的初始疲劳度;根据时间框内关键点之间欧式距离的波动和初始疲劳度计算眼状态评估,响应于眼状态评估大于预设疲劳阈值,生成并发送报警信号,完成疲劳状态检测。通过本发明的技术方案,能够提高疲劳状态检测结果的精度。
Driver fatigue state detection method and system based on machine vision
一种基于机器视觉的驾驶员疲劳状态检测方法及系统
30.05.2025
Patent
Elektronische Ressource
Chinesisch