The Conveyor Belt Health Monitor is an Internet of Things (IoT) project that combines Fault alerts and Control interface, built with Current sensor. The project follows a clean, modular pipeline where sensor data acquisition, connectivity, and presentation stay separated, making it easy to test, extend, and present. It showcases practical IoT techniques while producing a working, demo-ready system.
Manual monitoring and control for this task is slow, inconvenient, and cannot be done from anywhere. Without an IoT approach built on Control interface and Current sensor, users cannot connect real-world devices to the internet and manage them efficiently in real time.
This project applies IoT techniques through Fault alerts, orchestrated with Current sensor and Control interface. The system is designed for connectivity and reliability, with sensing, networking, and clear evaluation. It produces consistent, reusable results and can be adapted to related connected applications with minimal changes.
Current sensor
MQTT
ESP32 / Arduino / Raspberry Pi
MQTT / HTTP
Cloud dashboard
Sensors and actuators
ESP32 / PLC
Vibration sensor
Modular IoT pipeline around Fault alerts and Control interface
Configurable sensor and control settings
Real-time data collection and monitoring
Clear alerts, logging, and error handling
Reusable components for related connected systems
Remote access and control
The project is layered: the sensing layer acquires data through Fault alerts; the connectivity layer publishes and processes it with Current sensor and Control interface; and the output layer monitors and controls via Machine sensing. Shared connectivity, alerting, and dashboard modules support all layers, keeping the system robust and easy to extend.
Set up the hardware, sensors, and development environment.
Build the sensor data acquisition layer with Fault alerts.
Implement connectivity and processing using Current sensor and Control interface.
Add the dashboard and control layer via Machine sensing.
Wire up end-to-end flows and add error handling and retries.
Test with real data, tune settings, and refine the system.
Package the project, document it, and prepare the demo and viva report.
Build production-style IoT applications
Apply Factory dashboards and Predictive alerts
Connect and control IoT hardware
Publish and consume sensor data
Present and defend a complete IoT project in viva
Add edge analytics for faster decisions
Add more sensors and cloud services
Add mobile app control
Deploy on scalable cloud infrastructure
The Conveyor Belt Health Monitor delivers a complete Internet of Things workflow — from sensor data acquisition and connectivity to monitoring and control. It is practical, modern, and easy to explain, making it an excellent final year project that demonstrates in-demand IoT skills.
