STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Geotechnical Engineering Case Study

Smart Dustbin for Household Using Internet of Things (IoT)

  1. Raju R. Kulkarni Civil Engineering Department, Shri Shivaji Institute of Engineering Studies, M.S. India
  2. Priti Prakash Kadam Civil Engineering Department, Shri Shivaji Institute of Engineering Studies, M.S. India
  3. Komal Manohar Dahiphale Civil Engineering Department, Shri Shivaji Institute of Engineering Studies, M.S. India
  4. Pooja Vasantrao Vharkate Civil Engineering Department, Shri Shivaji Institute of Engineering Studies, M.S. India
  5. Supriya Nagnath Kute Civil Engineering Department, Shri Shivaji Institute of Engineering Studies, M.S. India
  6. Gaurav Madhukarrao Itkare Civil Engineering Department, Shri Shivaji Institute of Engineering Studies, M.S. India

Abstract

This article, titled “Smart Dustbin for Household Using Internet of Things (IoT)”, introduces an innovative solution to manage household waste effectively. In today's fast-paced world, many individuals find it challenging to dispose of garbage regularly due to busy schedules. This IoT-based system aims to address this issue by employing sensors and connectivity to monitor the fill-level of dustbins in real time. By utilizing ultrasonic sensors and microcontrollers like the ESP32, this system accurately detects and measures the level of waste inside the dustbin. When the dustbin reaches its capacity, the system sends alerts to users or authorities via mobile apps or web interfaces. This proactive approach not only ensures timely waste collection but also prevents overflow and the associated environmental hazards. The implementation of IoT technology in waste management systems not only enhances efficiency but also promotes a cleaner and healthier environment. It minimizes the manual effort required for monitoring and managing garbage, thereby optimizing municipal resources and reducing operational costs. Future enhancements could include integrating artificial intelligence algorithms for smarter waste segregation and optimizing collection routes based on real-time data analytics. Such advancements promise to further improve the effectiveness of urban waste management, contributing to sustainable and smart city initiatives. This smart dustbin system integrates an identification system, an automated lid system, a display system, and a communication system. Arduino Uno serves as the central microcontroller to coordinate these components. Sensors are employed for identification and to measure garbage levels. The system enables continuous monitoring of waste status within the bin, displaying the fill percentage on a liquid crystal display. For communication, a Global System for Mobile Communications module is utilized. This module notifies the relevant authorities when the bin reaches capacity, prompting timely waste collection.

Keywords

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