Traffic monitoring in developing countries like India poses significant challenges due to the sheer scale of traffic volume and limited resources for manual control and monitoring. To address this, AI cameras emerge as an ideal solution. An envisioned approach involves employing a deep learning model capable of analyzing real-time traffic videos. By leveraging computer vision and AI algorithms, the model can detect and track vehicles and pedestrians, assess traffic density, and identify congestion patterns. With this analysis, the system can intelligently control traffic signals at busy junctions, optimizing signal timings based on real-time conditions. Such a solution has the potential to enhance traffic management, reduce congestion, and improve overall road safety, despite the resource constraints faced by developing countries like India
