MediTrack Frontend

Hospital Equipment Detection and Movement Monitoring System

This is the frontend of the MediTrack system developed using React-Vite.

Introduction

The MediTrack system addresses the critical need for efficient hospital equipment detection and movement monitoring. It leverages computer vision to provide near real-time updates on the location and movement of medical instruments, enhancing operational efficiency and patient safety.

Features

• Real-time equipment detection using YOLOv5
• User-friendly web interface for monitoring and management
• Historical data review with filtering options
• Secure login and user management
• Dashboard with dynamic search options
• Video feed and historical records viewing

Installation

To set up the MediTrack frontend locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/Ashani-Sansala/MediTrack_System_Frontend.git
   cd MediTrack_System_Frontend

2. Install dependencies:

   npm install

Usage

1. Run the development server:

   npm run dev

2. Navigate to the application:

• Login: Use the provided credentials to log in to the system.

• Dashboard: Access the real-time equipment tracking dashboard.

• Historical Records: View past detection logs.

• Manage Users: Add or remove users with appropriate roles.

• Manage Cameras: Add or update camera details.

• Video Feeds: Monitor live video feeds.