Traffic accident warning system and method based on intelligent warning board

The invention relates to the field of traffic accident warning, and particularly discloses a traffic accident warning system and method based on an intelligent warning sign, and the method comprises the steps: firstly obtaining a road traffic image collected by a camera disposed in a road traffic accident liable region, and a vehicle passing speed value collected by a sensor in a preset time period; the method comprises the following steps: firstly, carrying out feature extraction and correlation analysis on the two regions by using a deep learning technology, and finally, generating a traffic accident warning board warning prompt through a generator, so as to more accurately identify a potential traffic accident risk region and help to reduce the occurrence of secondary traffic accidents. 本申请涉及交通事故告警领域，其具体地公开了一种基于智能警示牌的交通事故告警系统及方法，其首先获取由设立在道路交通事故易发生区域的摄像头采集的道路交通图像和由传感器采集的预定时间段的车辆通过速度值，然后利用深度学习技术，对二者进行特征提取和关联分析，最后通过生成器，以生成交通事故警示牌告警提示，以更准确地识别潜在的交通事故风险区域，帮助减少二次交通事故的发生。