基于人脸状态识别的智能交通安全教育系统研究

Bingdian Yang, Shuo Yan, Jingyi Yao
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引用次数: 0

摘要

随着交通行业的不断发展,在疫情常态化的背景下,驾驶员的继续教育也亟待完善。为了提高管理者对员工在线培训的学习状况,我们设计了一个基于实时人脸识别的交通安全教育系统。首先,通过一个轻量级的人脸识别网络实现高精度的人脸识别。头部姿势是根据面部的3D旋转来估计的。当达到设定的阈值时,弹出“请小心驾驶”的提示,保证驾驶员的学习效果,帮助管理者避免由于驾驶员安全意识淡薄而造成的交通事故损失和风险。
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Research on Intelligent Traffic Safety Education System Based on Facial State Recognition
With the continuous development of the traffic industry, the continuing education of the drivers also urgently needs to be improved under the background of epidemic normalization. In order to improve the manager′s learning status of the online training of employees, we designed a traffic safety education system based on real-time facial recognition. First of all, high-precision face recognition is achieved through a lightweight face recognition network. Head posture is estimated based on the 3D rotation of the face. When the set threshold value is reached, the warning “Please drive carefully” pops up to ensure the learning effect of drivers and help managers avoid the loss and risk of traffic accidents caused by drivers′ weak safety awareness.
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