摘要
随着计算机视觉检测技术在汽车驾驶安全领域的广泛应用,驾驶员疲劳特征识别需要突破传统小部分特征识别上的局限性和单一性,为此,该文设计了一种基于OpenCV的驾驶员疲劳特征识别系统。该识别系统以树莓派为处理核心,利用摄像头获取所需的检测数据,综合分析驾驶员眼动、嘴型及头部姿势特征,进行疲劳判断,若处于疲劳驾驶状态,则用语音播放方式发出警告。该系统通过多次调试验证,实时监测驾驶员的驾驶状态,能更加全面、高效识别驾驶员是否属于疲劳驾驶。
With the extensive application of computer visual inspection technology in driving safety,driver fatigue feature recognition needs to break through the limitations and singleness of feature recognition.The study of the paper is about the driver fatigue monitoring system based on OpenCV.The processing core of the system is Raspberry Pi,obtaining testing data by camera.The system comprehensively analyze drivers’eye move,mouth and head position to to monitor the driver fatigue.It will make phonetic caution to the tired driver.The system has been verified by multiple debugging.The system can recognize comprehensively and precisely whether the driver is in fatigue or not by monitoring the driver in real time.
作者
郑永涛
谢伟豪
陈逸群
何俊阳
ZHENG Yongtao;XIE Weihao;CHEN Yiqun;HE Junyang(Huali College Guangdong University of Technology,Guangzhou 511325,China)
出处
《电子设计工程》
2023年第1期65-68,共4页
Electronic Design Engineering
基金
国家级大学生创新训练计划项目(201913656009)
广东省教育厅2016年重点培育学科项目(粤教研函[2017]1号)。
