Smart-Real-Time-Vehicle-WrongWay-Detection-And-Tracking

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A Smart Real-Time Vehicle WrongWay Detection and Tracking using YOLOV8 and Sort Algo

Language Used

• Python3.9 or above
• OpenCV2 4.7 or above

Models used

• YoloV8 - To detect vehicles
• YoloV8 - to detect license plates
• SORT - for tracking
• easyOCR - For text extraction

This project aims to detect vehicles on the road, track them, and determine if they are going in the wrong direction. If a vehicle is going in the wrong direction, the system will extract its number plate for further action. The project also includes saving images and videos of the wrong-way going vehicle. With these features, this project will help improve road safety by detecting and preventing wrong-way driving incidents.