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In today’s evolving urban landscape, garbage management has emerged as a critical challenge for environmental sustainability and public health. Traditional waste collection involves manual inspection, where individuals check for waste accumulation, which is time-consuming and complex. To address this problem and assist waste management staff by saving time and reducing unnecessary trips, an intelligent dustbin prototype is proposed. This system allows workers to focus their efforts only when necessary, improving efficiency in waste collection. The intelligent dustbin prototype uses Internet of Things (IoT) components including NodeMCU ESP8266 microcontroller, HC-SR04 ultrasonic sensor, and Neo 6M GPS module to monitor garbage levels, track dustbin locations, and notify authorities if the garbage exceeds a threshold. The prototype is integrated with two in-built mobile applications: the Blynk App for real-time garbage level monitoring and the Telegram App, where a bot sends alerts and dustbin locations to waste management staff. This aids efficient waste management and improves collection and resource distribution.

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Prototype Design and Implementation of an IoT Based Intelligent Dustbin for Smart City

  • 会议论文

  • 发表日期：

    2026年

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  • Pratham Gajbhiye,
  • Swarup Vishwas,
  • Ganesh Bhutkar,
  • Rucha Uplenchwar,
  • Atharva Rathi

摘要

In today’s evolving urban landscape, garbage management has emerged as a critical challenge for environmental sustainability and public health. Traditional waste collection involves manual inspection, where individuals check for waste accumulation, which is time-consuming and complex. To address this problem and assist waste management staff by saving time and reducing unnecessary trips, an intelligent dustbin prototype is proposed. This system allows workers to focus their efforts only when necessary, improving efficiency in waste collection. The intelligent dustbin prototype uses Internet of Things (IoT) components including NodeMCU ESP8266 microcontroller, HC-SR04 ultrasonic sensor, and Neo 6M GPS module to monitor garbage levels, track dustbin locations, and notify authorities if the garbage exceeds a threshold. The prototype is integrated with two in-built mobile applications: the Blynk App for real-time garbage level monitoring and the Telegram App, where a bot sends alerts and dustbin locations to waste management staff. This aids efficient waste management and improves collection and resource distribution.