Student Work(Project)| M3239 Project: Real-Time Weapon Detection Using Python Work Video | SNU

Student | Client Work(Project)|M3239 Project : Weapon Detection with OpenCV & Python AI for Safety Output Video 2024 | Seoul National University

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📌 Weapon Detection System – Final Year Project (M3239)
🎓 Course: Computing Foundations for Data Science
🏫 University: Seoul National University (Nepal)
💻 Program: Software Engineering

This video presents our AI-based Weapon Detection System developed using Python, OpenCV, and pre-trained models for our final year project. The system identifies potential weapons in real-time using a webcam or CCTV feed.

🧠 Core Features:

⋆ Real-time object detection with bounding boxes
⋆ Trained on weapon datasets (guns, knives, etc.)
⋆ Alerts on detection with visual feedback
⋆ Developed using Python, OpenCV, and YOLOv5/CNN (as applicable)

⚙️ Technologies Used: Python | OpenCV | Deep Learning | YOLO/CNN | Jupyter | cv2

📢 If you’re passionate about AI for public safety, this is a must-watch.
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