Number Plate Recognition for Automatic No-Parking with Zero Tolerance
Pallavi B S, Shabeentaj GA, Arkesha J, Divya A V, Gagan R M
ANPR, Image processing, IOT, Raspberry pi, Ultra-sonic sensor.
Recent technologies for modern life it is more necessary to provide security to the aspect of this automated system are design to various applications for security and monitoring. Traffic violation has been recognized as a major case for road accidents it the majority occurs in the developing countries. This is due to the fact that the rules are not properly enforced by appropriate authorities but the task no-parking area left largely to the humans, so this paper is proposed to identify the vehicle parked in no-parking area. In this study, number plate numbers are automatically recognized using a real-time embedded system that utilizes automated no-parking detection and vehicle plate number recognition (VNPR). The system's primary objective is to utilize image processing to identify vehicles that are breaking traffic laws based on their license plate numbers. The camera was activated in order to take pictures of the number plate number and store it on the Raspberry Pi. The Raspberry Pi processes the image once it has been captured in order to extract the numbers on the image. The numbers on the capture imaged were check in database and fetch contact details for send alert or warning to owner. If implemented, the technology can be utilized to enhance traffic management in developing smart cities.
Article Details
Unique Paper ID: 159613

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 532 - 535
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