https://github.com/usamafayaz/industrial-watch
Industrial Watch is an AI-based system that enhances workplace efficiency and product quality in industrial settings. It uses AI technologies to monitor employee performance, detecting cigarette use, mobile phone use, and improper posture, as well as identifying defects in products like centrifugal discs, water bottles, and textiles.
https://github.com/usamafayaz/industrial-watch
api artificial-intelligence automation front-end-development javascript machine-learning mediapipe mobile-development react-native yolov8
Last synced: 5 months ago
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Industrial Watch is an AI-based system that enhances workplace efficiency and product quality in industrial settings. It uses AI technologies to monitor employee performance, detecting cigarette use, mobile phone use, and improper posture, as well as identifying defects in products like centrifugal discs, water bottles, and textiles.
- Host: GitHub
- URL: https://github.com/usamafayaz/industrial-watch
- Owner: usamafayaz
- License: mit
- Created: 2023-12-27T13:43:37.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-12-02T12:17:31.000Z (7 months ago)
- Last Synced: 2025-12-05T09:26:51.982Z (7 months ago)
- Topics: api, artificial-intelligence, automation, front-end-development, javascript, machine-learning, mediapipe, mobile-development, react-native, yolov8
- Language: JavaScript
- Homepage:
- Size: 15.3 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# IndustrialWatch
## Overview
IndustrialWatch is an AI-powered monitoring system designed to enhance workplace efficiency and product quality in industrial settings. This project integrates advanced AI technologies to monitor employee performance and detect defective products, promoting compliance with workplace rules and maintaining high production standards.
## Features
### Employee Performance Monitoring
The system leverages AI camera monitoring to track and evaluate employee activities based on specific rules:
- **Cigarette Detection**: Monitors smoking in the workplace, logging violations and imposing fines.
- **Mobile Usage Detection**: Identifies unauthorized mobile phone use during work hours, enforcing penalties.
- **Posture Detection**: Ensures proper posture by detecting incorrect sitting positions and issuing alerts.
### Defective Product Detection
AI models are trained to identify defects in various products:
- **Centrifugal Discs**: Detects anomalies to ensure product quality.
- **Water Bottles**: Monitors for defects such as missing caps or labels to maintain product integrity.
- **Textile Defects**: Identifies weaving faults and fabric damage in textile products.
## Frontend Integration
The project includes a frontend developed in React Native, offering a user-friendly mobile application.
## Technology Stack
- **Backend**: Python
- **AI Models**: YOLOv8, PyTorch
- **Database**: SQL Server
## Installation and Setup
1. Clone the repository:
```bash
git clone https://github.com/usamafayaz/industrial-watch.git
```
2. Navigate to the project directory:
```bash
cd industrial-watch
```
3. Install React Native packages and dependencies:
```bash
npm install
```
4. For the backend server:
```bash
git clone https://github.com/usamafayaz/industrial-watch-backend.git
```
5. Start the React Native frontend:
```bash
npx react-native run-android
# or
npm start
```
## Contact
For any inquiries, please contact [usama.fayyaz157@gmail.com].
