🛡 Helmet-Detection

Overview

This project implements a helmet detection system using YOLOv3 and OpenCV.
It allows users to upload images, detect helmets, and view results with annotated outputs via a simple web interface.

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Repository Structure

.
├── Code With Description.pdf           # Project documentation
├── app.py                             # Core detection application
├── yolov3.cfg                         # YOLOv3 configuration file
├── static/                            # Images, CSS styles
│   ├── \*.jpg / \*.webp / *.png
│   └── styles.css
├── templates/                         # Frontend HTML
│   └── index.html
└── runs/detect/                       # Training run configs
└── train*/args.yaml

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Getting Started

Prerequisites

• Python 3.7+
• pip package manager

Installation

git clone https://github.com/HariN999/Helmet-Detection.git
cd Helmet-Detection
pip install -r requirements.txt

Configuration

• Download the YOLOv3 weights file (yolov3.weights) from the official source.
• Place it in the project root directory (same location as yolov3.cfg).

Running the Application

python app.py

Then open your browser at:

http://localhost:5000

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Features

• Helmet Detection using YOLOv3
• Web Interface for uploading and analyzing images
• Configurable & Extendable design for future improvements

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Contributing

1. Fork the repository
2. Create a new branch (feature-xyz)
3. Commit your changes
4. Push and open a Pull Request