AI Weapon Detection System|Real-Time Object Detection using Python YOLOv8 & OpenCV+Source Code|Tamil

🔫⚡ Build a real-time AI-powered Weapon Detection System using Python, YOLOv8, OpenCV, and Flask.

In this Tamil explained (தமிழில் விளக்கப்படும்) tutorial, you will learn how to detect weapons like guns and knives from live camera feeds and CCTV footage.
This project is highly useful for Tamil engineering students, final-year projects, and AI security applications.

This project is ideal for:

Public safety

Smart surveillance

Schools, colleges & malls

Smart cities & IoT security systems

🔑 What You Will Learn

✅ Implement YOLOv8 for real-time weapon detection
✅ Use OpenCV for image & video analytics
✅ Build a Flask-based monitoring dashboard
✅ Deploy the model for CCTV & edge devices

📌 Applications

🏢 Public Places | 🏫 Schools | 🏬 Malls | 🏙 Smart Cities | 🚨 Security Systems

🧠 Key Techniques Used in This Project

Computer Vision

OpenCV

Object Detection

Machine Learning

Python

Artificial Intelligence

Image Processing

Deep Learning

⏱ Weapon Detection Project – Timeline

00:00–02:00 → Introduction
Overview of the project and what weapon detection solves.

02:00–06:30 → System Requirements
Hardware and software needed.

06:30–12:00 → Installing Python & Dependencies
Python setup, pip packages, required libraries.

12:00–20:00 → Dataset Overview
Weapon images, annotation format, dataset structure.

20:00–32:00 → Data Annotation / Labeling
Using LabelImg, Roboflow, or CVAT for annotation.

32:00–45:00 → Model Training
Training YOLO, SSD, or a custom model.

45:00–57:00 → Model Testing & Evaluation
mAP, accuracy, confusion matrix evaluations.

57:00–01:05:00 → Real-time Weapon Detection
Live detection using webcam/video stream.

01:05:00–01:15:00 → Alert Generation System
Email, SMS, or alarm alert logic.

01:15:00–01:21:04 → Final Demo & Summary
Wrap-up and next steps.

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✅ Project reports
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