E Challan System for Non-Parking Areas
V. Geetha1, C K Gomathy2, Tuppati Tilak3, Yellanki Yeshwanth4
1Dr. V. Geetha, Assistant Professor in CSE Department, SCSVMV Deemed to be University, Kanchipuram, Tamil Nadu.
2Dr. C K Gomathy*, Assistant Professor in CSE Department, SCSVMV Deemed to be University, Kanchipuram, Tamil Nadu.
3Mr. Tuppati Tilak, UG Scholar CSE Department, SCSVMV Deemed to be University, Kanchipuram, Tamil Nadu.
4Mr. Yellanki Yeshwanth, UG Scholar CSE Department, SCSVMV Deemed to be University, Kanchipuram, Tamil Nadu.
Manuscript received on April 09, 2021. | Revised Manuscript received on April 15, 2021. | Manuscript published on April 30, 2021. | PP: 175-177 | Volume-10 Issue-4, April 2021. | Retrieval Number: 100.1/ijeat.D24410410421 | DOI: 10.35940/ijeat.D2441.0410421
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Abstract: The Traffic in the metropolitan urban communities plays an essential part in transportation problems. Though many changes are happening in the E-Challan systems and traffic maintenance methods, some new methods are indispensable to control the traffic in urban areas. Mainly no-parking areas are the main concern and it always leads to the traffic problem. A regular monitoring system is needed to monitor the no parking zones which help to solve the problem occurred by parking the vehicles in no parking areas. So, E-Challan is the solution to resolve the issues at significant spots like no-parking regions. This project proposes an E-Challan system with the help of number plate detection using OpenCV library. Cameras are used to get the images of vehicles parked in the restricted areas. License numbers which are detected through traffic cameras automatically search for the registered phone numbers in the database and send this E-Challan as an SMS to the registered phone numbers of the people who violated the regulation proposed by the respective government.
Keywords: OpenCV, E-Challan, Text extraction
Scope of the Article: Text extraction