The IoT Library Study Space Monitor is an Internet of Things (IoT) project that combines Experiment controller and Remote access, built with Raspberry Pi. 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 Remote access and Raspberry Pi, users cannot connect real-world devices to the internet and manage them efficiently in real time.
This project applies IoT techniques through Experiment controller, orchestrated with Raspberry Pi and Remote access. 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.
Raspberry Pi
MQTT
ESP32 / Arduino / Raspberry Pi
MQTT / HTTP
Cloud dashboard
Sensors and actuators
ESP32 / Arduino
Sensor kits
Modular IoT pipeline around Experiment controller and Remote access
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 Experiment controller; the connectivity layer publishes and processes it with Raspberry Pi and Remote access; and the output layer monitors and controls via Analytics. 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 Experiment controller.
Implement connectivity and processing using Raspberry Pi and Remote access.
Add the dashboard and control layer via Analytics.
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 Learning analytics and Education dashboards
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 IoT Library Study Space 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.
