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AI-Powered Vehicle Detection and Classification System

$50 Original price was: $50.$20Current price is: $20.

This project is a Vehicle Detection and Analysis System using YOLO and Google Gemini AI. It processes video footage to detect and track vehicles, extracts relevant details (vehicle type, color, and company) using Gemini AI, and saves the data for analysis. The system also crops and stores vehicle images for further processing, leveraging multithreading for efficiency.

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SKU: AI-Powered Vehicle Detection and Classification System Category: Projects Tags: AI, AI in Transportation, AI-powered Traffic Monitoring, Artificial Intelligence, ComputerVision, deep learning in vehicle classification, DeepLearning, OpenCV for traffic analysis, real-time object tracking, Smart Surveillance, SmartSurveillance, TrafficMonitoring, Vehicle Detection, VehicleDetection, YOLO, YOLO Object Detection
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Description

Project Description:

This AI-powered vehicle detection system leverages computer vision, deep learning, and AI to automatically detect and classify vehicles in real-time from surveillance footage. The project integrates YOLO-based object detection with Google Gemini AI to identify vehicle type, color, and manufacturer.

Using object tracking and image processing techniques, the system:

  • Detects and tracks cars and trucks within a defined area.
  • Crops and processes images of detected vehicles.
  • Analyzes images using Gemini AI to extract detailed vehicle attributes.
  • Logs extracted vehicle information with timestamps for future analysis.

This solution is designed for applications in traffic monitoring, law enforcement, automated toll collection, and smart surveillance.

Key Features:

✅ YOLO-Based Vehicle Detection – Detects cars and trucks in real-time.
✅ Object Tracking – Ensures vehicles are uniquely identified and processed only once.
✅ Automated Image Cropping – Extracts images of detected vehicles.
✅ Google Gemini AI Integration – Analyzes images to extract vehicle type, color, and manufacturer.
✅ Data Logging – Saves structured data for reporting and analysis.
✅ Multithreading – Ensures efficient image processing.

Technologies Used:

🔹 YOLO Object Detection (Ultralytics YOLO)
🔹 OpenCV for Image Processing
🔹 Google Gemini AI for Vehicle Analysis
🔹 Multithreading for Faster Processing
🔹 cvzone for On-Screen Display

Use Cases:

🚦 Traffic Management Systems – Helps authorities track and analyze vehicle movement.
👮 Law Enforcement – Can assist in identifying stolen or suspicious vehicles.
🏢 Smart Surveillance – Enhances security in parking lots, toll stations, and highways.
📊 Fleet Management – Automates vehicle tracking for logistics companies.

Conclusion:

This AI-powered vehicle detection and classification system combines the power of deep learning and computer vision to provide an automated, accurate, and real-time vehicle analysis solution. The integration with Google Gemini AI enhances the system’s intelligence, making it a valuable tool for smart surveillance and traffic management applications.

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