LibraTrack

A real-time library occupancy tracking system using AI-powered object detection to monitor cubicle availability.

Overview

LibraTrack uses TensorFlow.js and the COCO-SSD model to detect people in library cubicles, providing real-time occupancy status. The system processes camera feeds every 5 seconds to determine which seats are available or occupied.

Features

• Real-time Object Detection - Uses TensorFlow.js COCO-SSD model for person detection
• Configurable Detection Zones - Define custom crop zones for each cubicle
• Visual Status Dashboard - Color-coded indicators (green = available, red = occupied)
• Live Camera Feed - Monitor library spaces in real-time
• Session Management - Track occupancy patterns over time

Tech Stack

• React - Frontend framework
• TensorFlow.js - Machine learning library
• COCO-SSD - Pre-trained object detection model
• React Webcam - Camera integration
• React Image Crop - Zone configuration

Getting Started

Prerequisites

• Node.js (v14 or higher)
• npm or yarn

Installation

# Install dependencies
npm install

# Start development server
npm start

The app will open at http://localhost:3000

Build for Production

npm run build

How It Works

1. Configure Zones - Define detection areas for each cubicle using the Configuration tab
2. Camera Feed - The system captures frames from the camera feed
3. Object Detection - TensorFlow.js analyzes each zone for person detection
4. Status Update - Occupancy status updates every 5 seconds
5. Visual Display - Dashboard shows real-time availability

Project Structure

src/
├── Components/        # React components (Navbar, Seating, etc.)
├── Contexts/         # React context for state management
├── assets/           # Images and static files
├── imageprocessor.js # Image processing utilities
├── utilities.js      # Helper functions
└── App.js           # Main application component

Usage

1. Navigate to the Configure Detection Zones tab
2. Upload or select your camera feed
3. Draw crop zones around each cubicle
4. Save the configuration
5. Switch to the Dashboard tab to view real-time occupancy

License

This project is licensed under the MIT License.