01. The Challenge
Static traffic timers cause unnecessary congestion.
02. The Solution
Developed an adaptive system using camera feeds to adjust signal timings in real-time.
Overview
Urban congestion is a major issue. This project utilizes existing CCTV infrastructure to count vehicles and optimize traffic light timings dynamically.
System Design
Edge devices (Raspberry Pi/Jetson Nano) process video feeds locally to count vehicles. This data is sent via MQTT to a central server which calculates optimal green light durations using a weighted algorithm.
System Architecture
YOLO for vehicle counting
Edge devices for processing
Cloud dashboard for analytics