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IoT-Enabled Real-Time Monitoring of Urban Garbage Levels Using Time-of-Flight Sensing Technology.

Luis Miguel Pires1,2, João Figueiredo1, Ricardo Martins1

  • 1Technologies and Engineering School (EET), Instituto Politécnico da Lusofonia (IPLuso), 1700-098 Lisbon, Portugal.

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Summary

This study introduces an IoT system using Time-of-Flight (ToF) sensors for real-time urban garbage monitoring. The system efficiently tracks waste levels, enabling optimized collection and cleaner cities.

Keywords:
Internet of Things (IoT)time-of-flight (ToF)urban serviceswaste management

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Area of Science:

  • Environmental Science
  • Computer Science
  • Engineering

Background:

  • Urban waste management faces challenges in efficiency and sustainability.
  • Real-time data on waste levels is crucial for optimizing collection routes and reducing operational costs.

Purpose of the Study:

  • To develop and evaluate a real-time urban garbage monitoring system using Time-of-Flight (ToF) sensing technology.
  • To demonstrate the integration of ToF sensors with IoT infrastructure for smart city applications.

Main Methods:

  • Utilized the VL53L8CX Time-of-Flight sensor and ESP32-S3 microcontroller for data acquisition and IoT connectivity.
  • Implemented a ToF-Node system communicating via Wi-Fi to an IoT gateway (Raspberry Pi 3) and subsequently to an IoT cloud platform.
  • Tested the system in various scenarios, including monitoring an office trash box.

Main Results:

  • The ToF-Node IoT system successfully provided real-time data on waste container capacities.
  • Demonstrated the effectiveness of ToF technology for environmental monitoring and the potential of IoT in enhancing urban services.
  • Collected data was visualized in the IoT cloud, allowing monitoring by level and volume.

Conclusions:

  • The developed ToF-Node system offers a viable solution for efficient waste collection management.
  • The integration of ToF sensing and IoT connectivity holds significant potential for improving urban sustainability and services.
  • Further deployment may benefit from additional ToF sensors for more detailed monitoring.