Automated Toll Management System Using RFID and Image Processing
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866929610693804032 |
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| author | Ahmed, Raihan Omi, Shahed Chowdhury Rahman, Md. Sadman Bhuiyan, Niaz Rahman |
| author_facet | Ahmed, Raihan Omi, Shahed Chowdhury Rahman, Md. Sadman Bhuiyan, Niaz Rahman |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_01728 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automated Toll Management System Using RFID and Image Processing Ahmed, Raihan Omi, Shahed Chowdhury Rahman, Md. Sadman Bhuiyan, Niaz Rahman Artificial Intelligence Computer Vision and Pattern Recognition Computers and Society Machine Learning 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. |
| title | Automated Toll Management System Using RFID and Image Processing |
| topic | Artificial Intelligence Computer Vision and Pattern Recognition Computers and Society Machine Learning |
| url | https://arxiv.org/abs/2412.01728 |