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基于智能视觉感知的车内孩童监控预警系统

In-car Monitoring and Warning System Based on Intelligent Visual Perception
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摘要 由于驾驶员的疏忽大意导致孩童被长时间遗留在车内而造成人员伤亡的现象,论文设计了基于深度学习方法的车内智能监控预警系统。该系统在监测到驾驶位无人的情况下,通过车内安置的环视摄像头对车内可能遗留的人员进行人脸识别和姿态估计,并结合CO_(2)传感器对车内的二氧化碳浓度进行实时监测,从而对可能遗留在车内孩童的状态进行实时评估。最后,该系统会根据车内孩童的当前状态建立分级预警机制,并做出及时相应的处理,保证滞留在车内人员的生命安全。 Due to the negligence of the driver,children are left in the car for a long time and cause casualties.This paper de⁃signs an intelligent monitoring and early warning system in the car based on the deep learning method.When the system detects that there is no one in the driver's seat,it uses the look-around camera installed in the car to perform face recognition and posture estima⁃tion on the people who may be left in the car,and combines with the CO_(2) sensor to perform real-time carbon dioxide concentration in the car monitoring to assess the status of children who may be left in the car in real time.Finally,the system will establish a grad⁃ed early warning mechanism based on the current state of the children in the car,and make timely and appropriate treatments to en⁃sure the safety of the people stranded in the car.
作者 张雪翔 史训昂 郭鹏宇 姚广华 ZHANG Xuexiang;SHI Xun'ang;GUO Pengyu;YAO Guanghua(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620)
出处 《计算机与数字工程》 2022年第8期1806-1811,1832,共7页 Computer & Digital Engineering
关键词 孩童 人脸识别 姿态估计 CO_(2)传感器 分级预警机制 children face recognition pose estimation CO_(2)sensor graded early warning mechanism
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