fangevo/FlowGuard-adaptive-traffic-surveillance
A real-time traffic monitoring system integrating YOLOv5 for vehicle counting and ResNet50 for weather classification. Features dynamic flow threshold adjustments based on environmental conditions (Sunny/Rainy/Snowy) with a GUI visualization.
This system helps traffic managers and urban planners monitor vehicle flow in real-time. It takes live video feeds and outputs vehicle counts for different directions, classifies weather conditions, and provides warnings when traffic thresholds are exceeded. Traffic operations staff can use this to adjust traffic control measures dynamically.
Use this if you need an automated system to count vehicles and adjust traffic flow warnings based on changing weather conditions like sun, rain, or snow.
Not ideal if you require highly accurate real-world speed estimations or a robust, ready-to-use illegal lane change detection system without manual configuration.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 11, 2026
Commits (30d)
0
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