Manufacturing

Garments Factory Automation System

Complete IoT-enabled factory automation system with AI-powered optimization and real-time monitoring.

Duration: 10 months
Team: 8 developers
Garments Factory Automation System

Project Overview

An advanced factory automation solution designed specifically for garment manufacturing facilities. This comprehensive system integrates IoT sensors, AI-powered analytics, RFID tracking, and real-time monitoring to optimize production efficiency, reduce waste, and ensure quality control. The platform provides end-to-end visibility from raw materials to finished goods with predictive analytics and automated reporting.

Key Features

IoT-enabled factory process automation with real-time sensor monitoring
AI-powered wastage optimization and predictive analytics
Piece-level tracking using RFID and QR code technology
Live production visibility dashboard with real-time metrics
Automated quality control with defect detection algorithms
Live finished goods monitoring and inventory management
Rejection rate analytics with root cause analysis
Workforce presence tracking and productivity monitoring
Factory capacity analytics and optimization recommendations
End-to-end tracking from raw materials to delivery

Challenges & Solutions

Integrating IoT sensors with legacy manufacturing equipment
Implementing AI algorithms for real-time quality detection
Managing high-volume RFID data processing and synchronization
Ensuring system reliability in harsh industrial environments

Results

65% reduction in production waste through AI optimization
40% improvement in overall equipment effectiveness (OEE)
Real-time visibility across entire production chain
30% reduction in quality defects through automated monitoring
25% increase in workforce productivity

Technologies Used

ReactNode.jsIoT SensorsAI/MLRFIDPostgreSQLWebSocketPython

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Contact Info

info@rasinnovations.com
+8801712-644850
DOHS Baridhara, Dhaka 1206, Bangladesh

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Garments Factory Automation System - Manufacturing Project | R.A.S Innovations