Industrial Machine Monitoring Platform

AWS • Laravel • Raspberry Pi • Industrial IoT

Designed and developed a cloud-based Industrial IoT platform that collects machine data through Raspberry Pi devices, stores it in AWS, and provides real-time analytics through a Laravel web dashboard.

Project Overview

This project was developed to automate machine monitoring and production tracking. Industrial machine signals were captured using Raspberry Pi edge devices and transmitted to AWS cloud infrastructure for storage and processing.

A Laravel-based dashboard was built to calculate key production metrics, display machine performance, and provide operators with real-time visibility into manufacturing activities.

The platform eliminated manual data collection and created a centralized system for monitoring machine activity and operational performance.

Industrial IoT Dashboard

Major Contributions

📡

Edge Data Collection

Collected machine signals using Raspberry Pi devices and converted them into structured production data.

☁️

AWS Cloud Integration

Built cloud infrastructure to receive, store, and process incoming machine data.

📊

Analytics Dashboard

Developed a Laravel web application to visualize machine activity and production performance.

⚡

Real-Time Monitoring

Enabled live monitoring of machine status and operational metrics.

🗄️

Data Storage

Stored historical production data for reporting, analysis, and future decision making.

🔄

End-to-End System Design

Designed the complete workflow from machine signal acquisition to cloud analytics.

System Architecture

Machine
→
Raspberry Pi
→
AWS Cloud
→
Database
→
Laravel Dashboard

Platform Capabilities

Machine Monitoring

Track machine activity and operational status.

Production Analytics

Calculate and visualize production metrics.

Cloud Storage

Centralized historical data management.

Remote Access

Access machine information from anywhere.

Technical Skills

Cloud: AWS Cloud Hosting Server Management
Backend: Laravel PHP REST APIs
IoT: Raspberry Pi Industrial Monitoring Data Acquisition
Database: MySQL Data Processing
Frontend: HTML CSS JavaScript

Business Impact

The platform automated machine data collection and provided real-time production visibility through a centralized dashboard. By eliminating manual tracking, it improved operational awareness and enabled data-driven decision making.