- Comments
AI-Based Traffic Signal Control System (25AI102)
The AI-Based Traffic Signal Control System optimizes municipal traffic flow using computer vision to monitor vehicle density and minimize road congestion dynamically.
Why Build This System?
- Reduces metropolitan rush hours
- Emergency vehicle prioritization
Key Features
- Real-time vehicle counting
- Adaptive signal switching timers
System Basics
Live camera nodes map vehicle count at junctions. Deep processing frameworks adjust signal timers instantly relative to lane congestion data.
Code Snippet:
import cv2
# Simulated vehicle frame reading
img = cv2.imread("traffic.jpg")
cars = len(img) # Placeholder count
print(f"Density: {cars}")Learning Outcomes:
- Gain hands-on object counting with OpenCV
- Develop intelligent municipal control systems