Abstract

Roads are primary route to transportation in each country, and they are frequently characterized by traffic congestion due to a lack of traffic management. It could be due to the big population, lack of technology, and violations committed by humans, the most serious of which is traffic rule infringement. It is extremely difficult for authorities to determine whether or not there is a traffic rule infringement, resulting in horrible scenarios that endanger not just drivers but pedestrians as well. To apprehend car owners who disregard traffic signal limits, the traffic police need a straightforward strategy. The administrators are currently checking the film that is being recorded near the traffic signal 24 hours a day, 7 days per week to see if anyone has disregarded the traffic light laws. After taking a picture of the license plate, they must report. Technology can play a big part in addressing these violations, which is why our work focuses on IoT and image processing-based methods. The suggested system's camera records a picture of the car, analyzes the video using the right image processing algorithm, and then records the license plate of the vehicle that violated the traffic laws and transmits it to the administrators. As a result, less manual work is required from police managers, and the video analysis takes place directly on the edge device.

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