An Automated Speed Detection and challan Generation using OpenCV

This study introduces an innovative method utilizing OpenCV (Open Source Computer Vision Library) for automating speed detection and generating challans.The primary focus is on addressing the significant issue of speeding violations, a major hazard to public safety.The system utilizes digital cameras and image processing techniques to monitor vehicle speeds in real-time, enabling the identification of speed limit breaches.Additionally, it incorporates a feature for generating challans swiftly and efficiently to enforce penalties on violators.By seamlessly integrating OpenCV, the system offers a cost-effective and scalable solution for improving traffic management and ensuring adherence to speed regulations.Experimental evaluation demonstrates the system's effectiveness in reducing instances of speeding and enhancing road safety