用RFID与图像识别实现自动收费，免排队不罚款。
Automated Toll Management System Using RFID and Image Processing
- 结合RFID标签与卷积神经网络识别车牌号
- 实时扣费并限时发送缴费通知邮件
- 适合高速公路管理与智能交通系统开发者
通过收费站的通行是导致拥堵的主要原因之一。电子收费系统（ETC）可缓解此问题。本实验聚焦于提升ETC的安全性，采用RFID标签与车牌验证相结合的方式。车牌验证通过图像处理实现，使用卷积神经网络（CNN）分类器检测车辆注册号码。根据登记号码，系统将在规定时限内向车主发送缴费提醒邮件以避免罚款，并实时从车主账户余额中扣除费用。该系统为旅客节省了排队缴费时间，减少延误，提升出行便利性。
原文摘要 · Abstract (English)
Traveling through toll plazas is one of the primary causes of congestion, as identified in recent studies. Electronic Toll Collection (ETC) systems can mitigate this problem. This experiment focuses on enhancing the security of ETC using RFID tags and number plate verification. For number plate verification, image processing is employed, and a CNN classifier is implemented to detect vehicle registration numbers. Based on the registered number, a notification email is sent to the respective owner for toll fee payment within a specific timeframe to avoid fines. Additionally, toll fees are automatically deducted in real-time from the owner's balance. This system benefits travelers by eliminating the need to queue for toll payment, thereby reducing delays and improving convenience.
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