基于车牌识别的车辆防疫数据系统的设计与实现

Design and Implementation of Vehicle Epidemic Prevention Data System Based on License Plate Recognition

针对常态化疫情防控工作要求,笔者提出了基于OpenCV+CNN车牌识别的车辆防疫数据系统建设方案。该系统建设方案通过结合人工智能和大数据技术实现了对过往车辆数据的采集和监管,有效提高了社区或地区管理者疫情防控工作的效率和准确性,降低了疫情扩散的风险,为常态化疫情防控机制的健全提供新的建设思路。

For the requirements of normalized epidemic prevention and control work, the article proposes a construction scheme of vehicle epidemic prevention and control data system based on OpenCV+CNN license plate recognition, which achieves the collection and supervision of passing vehicle data by combining artificial intelligence and big data technology, effectively improves the efficiency and accuracy of epidemic prevention and control work of community or regional managers, reduces the risk of epidemic spread, and provides provide new construction ideas for the soundness of normalized epidemic prevention and control mechanism.