👕 UNIFORM DETECTION – Node.js / Express Version

This is the Node.js / Express.js conversion of the original Flask-based Uniform Detection Application.
It delivers the same AI-powered functionality with a modern JavaScript backend, ensuring better scalability and maintainability.

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🚀 LIVE DEMO

🔥 Try it out now:
👉 OPEN UNIFORM DETECTION MODEL APP

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✨ Key Features

• 🎯 Real-time Uniform Detection using YOLOv8 / TensorFlow.js
• 📸 Image Upload & Camera Capture capabilities
• 💻 Responsive and Interactive UI built for web and mobile
• ⚙️ Instant Processing & Visualization of detection results
• 📊 Confidence Score and detection highlights displayed in real time

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🧩 Prerequisites

Make sure you have the following installed before running the app:

• 🟢 Node.js (v14 or higher)
• 🟣 npm (v6 or higher)

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⚙️ Installation Guide

1. Clone or download this repository

   git clone https://github.com/yourusername/uniform-detection-node.git
   cd uniform-detection-node
   

2. Install dependencies:

   npm install

Running the Application

To start the development server:

npm run dev

To start the production server:

npm start

Then open your browser and visit 👉 http://localhost:3000

Project Structure

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├── server.js              # Main Express.js server file
├── package.json           # Project dependencies and scripts
├── templates/             # HTML templates
│   └── index.html         # Main application page
├── static/                # Static assets
│   ├── css/
│   │   └── style.css      # Application styles
│   └── js/
│       └── script.js      # Frontend JavaScript
├── model/                 # ML model files
│   └── uniform_model.keras # Pre-trained model
└── README.md              # This file

API Endpoints

• GET / - Serve the main application page
• POST /process_image - Process uploaded images for uniform detection

Dependencies

• Express.js - Web framework
• Multer - File upload handling
• Sharp - Image processing
• OpenCV4Node.js - Computer vision library
• TensorFlow.js - Machine learning library

How It Works

1. Users can upload images or capture photos using their device camera
2. Images are processed using a pre-trained TensorFlow model
3. The model detects whether a person in the image is wearing a uniform
4. Results are displayed with confidence scores and visual indicators

Converting from Flask

This project was converted from a Flask application. Key changes include:

• Replaced Flask routes with Express.js endpoints
• Converted Python image processing to Node.js equivalents
• Maintained the same frontend interface and functionality
• Preserved the same API contract for frontend compatibility