Summary of Automated Toll Management System Using Rfid and Image Processing, by Raihan Ahmed et al.
Automated Toll Management System Using RFID and Image Processing
by Raihan Ahmed, Shahed Chowdhury Omi, Md. Sadman Rahman, Niaz Rahman Bhuiyan
First submitted to arxiv on: 2 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Vision and Pattern Recognition (cs.CV); Computers and Society (cs.CY); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes an Electronic Toll Collection (ETC) system that leverages RFID tags and number plate verification using computer vision techniques to enhance security. The proposed system utilizes a Convolutional Neural Network (CNN) classifier to detect vehicle registration numbers, which are then used to send notifications to owners for timely toll fee payment. Additionally, the system automates real-time toll fee deductions from the owner’s balance, eliminating the need for travelers to queue at toll plazas and reducing congestion. The proposed system benefits travelers by improving convenience, reducing delays, and streamlining the toll payment process. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Have you ever gotten stuck in traffic because of long lines at toll booths? This paper tries to solve that problem with a new way to pay for tolls using special tags on cars and cameras. When you drive through a toll plaza, a camera takes a picture of your car’s license plate and uses a computer program to recognize the plate number. Then, an email is sent to you reminding you to pay your toll fee before it’s too late. If you have money left in your account, the toll fee will be taken out automatically. This system makes traveling easier and faster by reducing the time spent waiting at toll booths. |
Keywords
» Artificial intelligence » Cnn » Neural network
