Overview
Real-time detection and tracking system distinguishing between cars, buses, motorcycles, and trucks for traffic flow optimization and analytics.
The Problem
Traffic management requires accurate counts of vehicles by type to optimize signal timing and understand traffic patterns.
The Solution
Implemented YOLOv8 + DeepSORT pipeline with custom vehicle classification. System counts vehicles crossing virtual lines and generates traffic density heatmaps.
Results & Impact
92%
Counting Accuracy
Across all vehicle types
25 FPS
Processing Speed
On edge device
4
Vehicle Classes
Car, bus, bike, truck
Key Impact
- Data used for city traffic flow optimization
- Enabled data-driven signal timing adjustments
- Reduced congestion by 18% at monitored intersections
Technologies Used
PythonYOLOv8DeepSORTOpenCVNumPy