VibeML

I-Powered-Traffic-Signal-Optimization-System 🚦 AI-powered traffic signal optimization using YOLOv8 and real-time vehicle detection to reduce congestion and improve traffic flow.

🚦 TRAFFICAI – AI-Powered Traffic Signal Optimization System 🚀 Overview TRAFFICAI is an AI-based smart traffic management system that dynamically adjusts traffic signal timings based on real-time vehicle density. The system uses computer vision and machine learning to reduce congestion, waiting time, and fuel consumption.

🎯 Problem Statement Traditional traffic signals operate on fixed timers, leading to:

Traffic congestion Fuel wastage Increased waiting times Poor emergency response 💡 Solution TRAFFICAI uses AI and real-time video analysis to:

Detect and count vehicles per lane Analyze traffic density Dynamically optimize signal timings Provide live monitoring through a dashboard 🧠 Key Features 🚗 Real-time vehicle detection using YOLOv8 📊 Traffic density analysis 🚦 Dynamic signal control 📡 IoT-based architecture 📈 Live monitoring dashboard 🚑 Emergency vehicle prioritization (future scope) ⚙️ Technologies Used Python – Core programming YOLOv8 – Vehicle detection OpenCV – Video processing AWS IoT – Cloud integration React.js – Dashboard UI Edge Devices (Raspberry Pi / Jetson Nano) 🏗️ System Architecture

Built With

• core
• dashboard
• detection
• devices
• edge
• integration
• iot
• jetson
• opencv
• processing
• programming
• python
• react.js
• system
• ui
• vehicle
• video
• yolov8