نظام ذكي لاكتشاف وعدّ المركبات والأشخاص والأجسام
Vehicle, Person and Object Detection and Counting System
This project is a real-time object detection and counting system using YOLO11. It detects vehicles, people, and multiple object classes from live webcam streams or recorded videos, providing accurate counting, tracking, and real-time visualization through a web-based interface.
Project Overview
The Vehicle, Person, and Object Detection and Counting System leverages YOLO11 and computer vision techniques to automatically detect, track, and count multiple object classes across video frames. The system supports both live and offline video processing and provides real-time insights through an interactive web interface.
Key Features
Real-Time Object Detection
- 🚗 Detects vehicles, people, and other objects in real-time.
- ⚡ High-speed and accurate detection using YOLO11.
Object Counting
- 🔢 Counts total vehicles, people, and objects.
- 📊 Real-time count display on video streams.
Tracking & Visualization
- 🆔 Assigns unique IDs to tracked objects.
- 📦 Bounding boxes with class labels.
Live & Offline Processing
- 🎥 Supports live webcam streams.
- 📁 Supports uploaded video files.
Web-Based Interface
- 🌐 Flask-powered web dashboard.
- 📈 Displays detection results and object counts in real time.
Technology Stack
- 🐍 Programming Language: Python
- 🎥 Computer Vision: OpenCV
- 🧠 Object Detection: YOLO11
- 🌐 Web Framework: Flask
Use Cases
- 🚦 Traffic Surveillance – Vehicle detection and counting.
- 🛡️ Security Monitoring – People counting and area monitoring.
- 🏙️ Smart Cities – Urban traffic and pedestrian analytics.
- 🏬 Retail & Inventory – Object counting and monitoring.
Conclusion
This YOLO11-based detection and counting system delivers a powerful, scalable solution for real-time analysis of vehicles, people, and objects. Its flexibility, accuracy, and web-based interface make it ideal for traffic monitoring, security surveillance, and smart city applications.