基于YOLOv5的新能源车标智能识别系统及应用研究  

Research on new energy vehicle marking intelligent recognition system and application based on YOLOv5

作　　者：诸楚洁 陈金鹏 ZHU Chujie;CHEN Jinpeng(School of Economics and Management,Zhejiang Sci-Tech University,Hangzhou 310018,China)

机构地区：[1]浙江理工大学经济管理学院,杭州310018

出　　处：《智能计算机与应用》2025年第1期65-68,共4页Intelligent Computer and Applications

摘　　要：国家大力推动智能车位发展,以解决新能源汽车充电难和充电市场混乱等问题,本文开发了一个基于YOLOv5的新能源车标智能识别系统,将其部署在智能地锁上并应用于充电车位,可防止车位被无权限车辆恶意侵占,最大化满足专属客户的充电需求;利用OpenCV和YOLOv5训练模型,着重对输入图片进行倾斜矫正和清晰化处理,提高模型识别的准确性。搭载该智能识别系统的地锁可以实现专用充电场等复杂场景下,完成对新能源汽车车标的实时高速准确检测,实现智慧化终端的落地应用,推进车位智能化管理,为后续品牌车企或专属运营商的充电场运营智能化管理和无人化运营提供部分技术支撑。In the context of national policy to vigorously promote the development of smart parking spaces to solve the problems of difficult charging of new energy vehicles and chaotic charging market.The article develops a new energy vehicle marking intelligent recognition system based on YOLOv5,which is deployed on intelligent ground locks and applied to charging parking spaces,which can prevent the spaces from being maliciously occupied by vehicles with no authority and maximize the charging requirements of exclusive customers.OpenCV and YOLOv5 are used to train the model,focusing on tilt correction and clarification of the input image to improve the accuracy of model recognition.The ground lock equipped with this intelligent identification system can complete real-time high-speed and accurate detection of new energy vehicle tags in complex scenarios such as dedicated charging yards,realize the application of intelligent terminals on the ground,promote the intelligent management of parking spaces,and provide part of the technological support for the intelligent and unmanned charging yard operation of subsequent branded car companies or exclusive operators.

关 键 词：智能车位 智能地锁 车标智能识别 充电场运营 智慧化终端 

分 类 号：N949[自然科学总论—系统科学]