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anushkasaxena07
The objective of this project is to create a comprehensive system that combines adaptive traffic signal control with a red light violation detection system. The system will utilize computer vision techniques like OpenCV and YOLO in Python to optimize signal timings based on traffic conditions and enforce red light violations through ANPR. The system aims to enhance traffic flow, signal efficiency, and road safety by adjusting signals dynamically and detecting violations. The primary drivers behind this project include reducing accidents, saving fuel, minimizing CO2 emissions, and saving time for commuters.