🚨 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
If you found this project useful, don’t forget to 👍 Like, 💬 Comment, and 🔔 Subscribe!