26P54 - INTEGRATED WEAPON, CRIMINAL AND EMOTION DETECTION SYSTEM USING OPENCV AND DJANGO FRAMEWORK

Опубликовано: 19 Июль 2026
на канале: Eshwar Chand
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🚨 Integrated Weapon, Criminal & Emotion Detection System 🚨

This project presents an intelligent surveillance system designed to enhance public safety using AI and Computer Vision. The system performs real-time detection of weapons, identifies known criminals using facial recognition, and analyzes human emotions to detect suspicious behavior.

🔍 Key Features:
• Weapon Detection using YOLOv8
• Face Recognition for Criminal Identification
• Emotion Detection using CNN
• Real-time video processing with OpenCV
• Web-based monitoring dashboard using Django
• Automated alert system for quick response

💡 Why this project?
Traditional surveillance systems rely heavily on manual monitoring and often fail to detect threats in real time. This solution provides a smart, automated, and proactive security system suitable for smart cities, airports, railway stations, and public places.

📊 Achieves high accuracy with real-time performance, improving situational awareness and response time.

🛠️ Tech Stack:
Python | OpenCV | YOLOv8 | CNN | Django | Machine Learning | Deep Learning

📌 Applications:
Smart Cities | Law Enforcement | Public Surveillance | Critical Infrastructure Security

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