نظام ذكي لاكتشاف الأنشطة المشبوهة باستخدام تحليل وضعيات الجسم

YOLO Pose Identification for Suspicious Activity Detection

This project is an AI-powered surveillance system that combines YOLO object detection with human pose estimation to identify suspicious or dangerous activities in real time. By analyzing body posture and movement patterns, the system enhances automated security monitoring and threat detection.

Project Overview

The YOLO Pose Identification for Suspicious Activity Detection system leverages deep learning and computer vision to detect humans, extract body keypoints, and analyze poses to identify abnormal or potentially dangerous behaviors. The system is designed for real-time surveillance environments such as public spaces, workplaces, and security-sensitive areas.

Key Features

YOLO-Based Human Detection

• 🧍 Detects and tracks human figures in real time.
• ⚡ Robust performance even in crowded environments.

Pose Estimation & Keypoint Analysis

• 🦴 Extracts human body keypoints (arms, legs, torso).
• 📐 Analyzes posture and motion patterns.

Suspicious Activity Detection

• ⚠️ Identifies abnormal or dangerous behaviors.
• 🧠 Uses predefined pose and movement patterns.

Real-Time Monitoring & Alerts

• 🎥 Processes live CCTV and video feeds.
• 🚨 Optional alerts via notifications, email, or system logs.

Reporting & Logging (Custom)

• 📝 Logs suspicious events with timestamps.
• 📊 Enables post-incident analysis and reporting.

Technology Stack

• 🐍 Programming Language: Python
• 🎥 Computer Vision: OpenCV
• 🧠 Object Detection: YOLO (Ultralytics)
• 🦴 Pose Estimation: OpenPose or similar models

Use Cases

• 🛡️ Surveillance Systems – Automated threat detection.
• 🚉 Public Safety – Airports, stations, and crowded areas.
• 🏭 Workplace Safety – Detect unsafe or unauthorized actions.
• 👮 Law Enforcement – Proactive monitoring and rapid response.

Conclusion

The YOLO Pose Identification for Suspicious Activity Detection system provides a proactive AI-driven security solution by combining object detection with pose analysis. Its real-time performance, accuracy, and adaptability make it a powerful tool for enhancing safety, surveillance efficiency, and rapid incident response in modern environments.