基于深度学习的服务区危化品车辆识别算法研究

Research on Vehicle Recognition Algorithms for Dangerous Chemicals in Service Area Based on Deep Learning

近年来,随着我国工业化进程的加快,危化品的使用量也在不断地增长,特别是长途运输过程中在高速公路行驶的危化品车辆也越来越多,进入服务区的危化品车辆也在逐年增加。本文通过对进入高速公路服务区危化品车辆的实时识别,使服务区人员能够在第一时间得知危化品车辆进入服务区,对进一步做好安全管理工作具有一定的指导性意义。

In recent years,with the acceleration of China's industrialization process,the use of dangerous chemicals is also increasing,especially in the long-distance transport process,more and more dangerous chemicals vehicles are running on expressways,and dangerous chemicals vehicles entering service areas are also increasing year by year.Through the real-time identification on dangerous chemicals vehicles entering expressway service area,the personnel in service area can know the dangerous chemicals vehicles entering service area at the first time,which has certain guiding significance for further safety management work.