Kshitij-Darwhekar/Intelligent-Traffic-Managment-System-Using-Computer-Vision
This repository tackles traffic congestion in smart cities using computer vision. The system automatically detects and classifies vehicles, analyzes traffic density, and dynamically adjusts traffic lights - all to optimize traffic flow!
This system helps traffic planners and city authorities monitor and manage urban traffic more effectively. It takes live or recorded video feeds from traffic cameras, processes them to detect and count vehicles, and analyzes traffic flow to provide insights. The output includes real-time traffic data, congestion patterns, and vehicle counts, which can be used for traffic signal optimization and urban planning.
Use this if you need to analyze real-time or recorded video footage to understand traffic density, vehicle counts, and flow patterns for urban traffic management.
Not ideal if you require predictive traffic modeling based on historical data rather than real-time video analysis, or if your primary need is for individual vehicle tracking across a city.
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Mar 28, 2026
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