Automated Toll Management System Using RFID and Image Processing
This system benefits travelers by reducing queuing and improving convenience, but it is incremental as it builds on existing ETC methods.
The paper tackled congestion at toll plazas by enhancing Electronic Toll Collection security using RFID tags and image processing with a CNN classifier for number plate verification, resulting in automated toll fee deduction and email notifications to owners to reduce delays.
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.