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Vehicle Detection and Analysis System
An AI-driven vehicle detection and analysis system that uses YOLO and Google Gemini AI
to track vehicles in real time, recognize number plates, and extract key attributes
such as vehicle type, color, and manufacturer from video footage.
Project Overview
This project implements an advanced AI-powered vehicle monitoring solution
that combines YOLO-based object detection and tracking with Google Gemini AI.
The system processes surveillance videos to detect vehicles, track them within
a defined region of interest, recognize number plates, and analyze vehicle attributes
for intelligent traffic and security applications.
Key Features
Real-Time Vehicle Detection
- 🚗 Detects and tracks vehicles using YOLO object detection.
- 📍 Supports detection inside a defined Region of Interest (ROI).
AI-Based Vehicle Analysis
- 🧠 Uses Google Gemini AI to analyze cropped vehicle images.
- 🔢 Extracts number plates automatically.
- 🎨 Identifies vehicle color and type.
- 🏷️ Detects manufacturer or brand.
Multi-Threaded Processing
- 🧵 Handles multiple vehicles simultaneously.
- ⚡ Improves performance and real-time responsiveness.
Data Logging & Storage
- 📝 Logs vehicle details with timestamps.
- 📂 Saves structured data to text files for later analysis.
Interactive Visualization
- 🖥️ Displays bounding boxes, track IDs, and vehicle attributes.
- 🎯 Polygon-based ROI selection for focused monitoring.
Technology Stack
- 🐍 Programming Language: Python
- 🎥 Computer Vision: OpenCV
- 🧠 Object Detection & Tracking: Ultralytics YOLO
- 🤖 AI Analysis: LangChain & Google Gemini AI
- 🖥️ Visualization: cvzone
- 📊 Numerical Processing: NumPy
- 🧵 Performance Optimization: Multithreading
Use Cases
- 🚦 Traffic Monitoring – Smart surveillance for city management.
- 🅿️ Parking Management – Track vehicle entry and exit automatically.
- 💰 Toll Booth Automation – Vehicle classification and toll processing.
- 🔐 Vehicle Access Control – Monitor authorized access in secured areas.
Conclusion
The Vehicle Detection and Analysis System combines real-time object detection
with AI-powered image analysis to deliver a robust vehicle monitoring solution.
By integrating YOLO with Google Gemini AI, it enables automatic extraction of
critical vehicle information, making it ideal for smart traffic systems,
security surveillance, and intelligent automation applications.