Project Overview
Engineered an industrial embedded IoT product counting device designed to fit directly onto factory production machinery for precise, automated output tracking. Utilizing rugged industrial sensors, the system reliably detects manufactured units as they exit the machine line, capturing both real-time total counts and hourly production velocity. Built with an industrial-grade embedded architecture and IoT capabilities, the system operates continuously in demanding factory environments. It independently logs both cumulative output and hourly production metrics, pushing these dual data streams to a centralized database for remote monitoring, shift performance evaluation, and overall equipment effectiveness (OEE) analysis. This system eliminates manual counting errors, improves production transparency, and enables data-driven decision-making on the factory floor.
Problem
An industrial-grade embedded IoT counter that attaches directly to production machinery to track real-time total output and hourly production rates with cloud database synchronization.
Solution
Engineered an industrial embedded IoT product counting device designed to fit directly onto factory production machinery for precise, automated output tracking. Utilizing rugged industrial sensors, the system reliably detects manufactured units as they exit the machine line, capturing both real-time total counts and hourly production velocity. Built with an industrial-grade embedded architecture and IoT capabilities, the system operates continuously in demanding factory environments. It independently logs both cumulative output and hourly production metrics, pushing these dual data streams to a centralized database for remote monitoring, shift performance evaluation, and overall equipment effectiveness (OEE) analysis. This system eliminates manual counting errors, improves production transparency, and enables data-driven decision-making on the factory floor.
Features
Automated Production Tracking: Replaced manual reporting with high-precision, real-time sensor counting directly at the machine output line. Hourly Velocity Monitoring: Enabled precise performance tracking per shift by capturing hourly yield data alongside total production totals. Cloud Database Synchronization: Streamlined operational oversight by sending dual dataset logs to a central server for real-time remote OEE monitoring.
Technologies Used
Industrial Embedded Systems, Industrial Sensors (Proximity / Photoelectric), IoT Gateways, Cloud Database Integration, Real-Time Data Logging, C/C++, MQTT / HTTP Communication Protocols
Results
Automated Production Tracking: Replaced manual reporting with high-precision, real-time sensor counting directly at the machine output line. Hourly Velocity Monitoring: Enabled precise performance tracking per shift by capturing hourly yield data alongside total production totals. Cloud Database Synchronization: Streamlined operational oversight by sending dual dataset logs to a central server for real-time remote OEE monitoring.
Project Summary
Category: Industrial Automation & IoT
Technologies: Industrial Embedded Systems, Industrial Sensors (Proximity / Photoelectric), IoT Gateways, Cloud Database Integration, Real-Time Data Logging, C/C++, MQTT / HTTP Communication Protocols
Results: Automated Production Tracking: Replaced manual reporting with high-precision, real-time sensor counting directly at the machine output line. Hourly Velocity Monitoring: Enabled precise performance tracking per shift by capturing hourly yield data alongside total production totals. Cloud Database Synchronization: Streamlined operational oversight by sending dual dataset logs to a central server for real-time remote OEE monitoring.