基于yolo算法实现只能停车场车牌识别的计费系统(源码+部署文档).zip

上传者: eason22 | 上传时间: 2024-04-13 21:14:13 | 文件大小: 191.77MB | 文件类型: ZIP
基于 YOLO(You Only Look Once)算法实现的停车场车牌识别计费系统可以实现自动识别车牌、记录车辆进出时间以及计算停车费用等功能。下面是一个基本的系统架构和功能描述: ### 系统架构: 1. **摄像头部署:** 在停车场入口和出口处安装摄像头,以捕捉车辆进出场景。 2. **YOLO模型部署:** 使用基于 YOLO 的目标检测模型,针对停车场车牌的识别,训练一个车牌检测模型。可以使用预训练的 YOLO 模型,在其基础上进行微调以适应特定的车牌识别任务。 3. **车牌识别算法:** 针对检测到的车牌区域,使用 OCR(Optical Character Recognition,光学字符识别)算法对车牌进行识别。常用的 OCR 算法包括基于深度学习的方法(如 CRNN、CTC 等)以及传统的图像处理方法(如基于模板匹配的方法)。 4. **计费系统:** 根据车辆的进出时间和停车时长,计算停车费用。可以根据停车场的具体规则和收费标准来确定计费方式,比如按时计费或按次计费。 5. **数据库存储:** 将识别到的车牌信息以及进出时间等记录保存到数据

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