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IoT-Based UV Radiation Monitoring System

Overview

This project implements a compact IoT solution to monitor indoor UV radiation levels in real time. A Raspberry Pi, integrated with a UV sensor and an ADC converter, captures radiation data and transmits it to a Firebase Realtime Database via HTTP. The data is then visualized on a live dashboard for remote access and monitoring.

System Workflow

  • UV sensor measures radiation intensity
  • ADC converts analog signals to digital data
  • Raspberry Pi processes and sends data via HTTP
  • Firebase updates the real-time dashboard

Technologies Used

  • Hardware: Raspberry Pi 3B+, UV Sensor - ML8511 , ADC Converter - ADS1115
  • Software: Python, Firebase Realtime Database, HTTP Protocol

Key Features

  • Real-time UV monitoring
  • Cloud-based data storage
  • Live dashboard visualization
  • Simple and scalable architecture

Applications

Suitable for smart environments and safety monitoring systems.

Future Scope

Enhancements may include multi-sensor integration and historical data analysis.

License

Developed for academic purposes.

About

Portable, multi-spectrum radiation detector leveraging Edge AI on a Raspberry Pi to classify Gamma, UV, and EMF radiation in real-time. Results are instantly synced via Firebase Realtime Database to a live React/Vite dashboard hosted on Cloudflare Pages, demonstrating an energy-efficient solution for public health monitoring

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