نظام ذكي لاكتشاف وتمويه لوحات السيارات

Automatic License Plate Detection & Blurring System

A real-time computer vision system that automatically detects and blurs vehicle license plates in video streams using YOLO and Supervision. The system ensures privacy protection and data anonymization for surveillance, research, and smart city applications.

Project Overview

The License Plate Blurring System is designed to protect sensitive vehicle information by automatically detecting and anonymizing license plates in real-time video footage. It leverages YOLO for accurate plate detection and the Supervision library for clean annotations and blurring, making it ideal for privacy-focused video processing pipelines.

Core Objectives

• 🎯 Detect vehicle license plates in real-time video feeds.
• 🔒 Automatically blur plates to anonymize sensitive data.
• ⚙️ Support configurable models and video sources via YAML.
• ⚡ Maintain high detection accuracy using YOLO.
• 🛡️ Provide a ready-to-use privacy protection solution.

Key Features

Real-Time License Plate Detection

• ⚡ Uses YOLO deep learning models for fast and accurate detection.
• 🚘 Works on live streams and recorded videos.

Automatic Plate Blurring

• 🔒 Blurs detected license plates instantly.
• 📜 Supports GDPR and privacy compliance.

Clean Visualization with Supervision

• 🧠 Uses Supervision annotators for bounding boxes.
• 🎯 Ensures clear and professional visual output.

Configurable Pipeline

• ⚙️ YAML-based configuration for model and video paths.
• 🪶 Lightweight and modular design.

Technology Stack

• 🐍 Programming Language: Python
• 🎥 Computer Vision: OpenCV
• 🧠 Object Detection: YOLO
• 🧩 Annotation & Blurring: Supervision
• ⚙️ Configuration: YAML

Use Cases

• 🚘 Traffic Surveillance Systems – Anonymize vehicle identifiers.
• 🏙️ Smart City Monitoring – Protect citizen privacy.
• 🧠 AI Dataset Preparation – Safe preprocessing before training.
• 🔍 Law Enforcement Data Sharing – Remove personal data.
• 🧾 GDPR & Privacy Compliance – Meet data protection standards.

Possible Enhancements

• 🙂 Add face detection and blurring.
• 🆔 Integrate multi-object tracking.
• 📦 Deploy on edge devices like Jetson Nano or Raspberry Pi.
• 🌐 Add a web dashboard for configuration and monitoring.

Conclusion

The License Plate Detection and Blurring System is a powerful privacy-preserving solution for modern computer vision applications. By combining YOLO’s detection accuracy, Supervision’s annotation tools, and OpenCV’s efficiency, the system delivers a scalable and automated approach to video anonymization while maintaining high performance and visual clarity.