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Smart City Noise Detection

Overview​

A system designed to monitor and manage noise pollution in urban environments. It detects sound levels using sensors and captures photographic evidence when noise exceeds a defined threshold. Data is uploaded to Firebase for real-time monitoring.

Goals​

  • Detect and monitor city-wide noise pollution
  • Automate enforcement in restricted zones
  • Identify suitable areas for sensitive buildings like hospitals

Technology Stack​

  • Node MCU
  • Analog sound sensor
  • Firebase Realtime Database
  • Camera Module
  • Web Dashboard (PHP, Firebase integration)

Node Hardware Figure: Example of a deployed sensor node

Features​

  • Real-time decibel detection and logging
  • Automatic camera capture and alerting on threshold breach
  • Dashboard for city-wide node visualization
  • Historical noise data analysis

Dashboard Location Visualization Figure: Dashboard showing node locations across the city and its noise levels

Dashboard Graph

Figure: Real-time noise data visualization on the dashboard

Noise Graph Figure: Raw noise data from sound sensor

Architecture​

  1. Sound sensor detects decibel levels
  2. If above threshold, triggers:
    • Warning
    • Camera capture
    • Data upload to Firebase
  3. Dashboard visualizes data and node locations

Sequence Diagram Figure: System sequence diagram

Tools Used​

  • Arduino IDE
  • Apache server (000webhost)
  • Firebase
  • Gedit (Linux)

Outcome​

Helps authorities monitor noise zones without physical presence. Can influence urban planning decisions and reduce city noise pollution.

Future Scope​

  • Integration with ML to predict noise patterns
  • Mobile app alerts
  • Expanded to monitor air quality