Revolutionizing waste management system through the development of an i-smart trash bin solid waste sorter

This study presents a structured approach to creating an efficient waste management solution capable of segregating papers, plastic bottles, and metal cans. Following a developmental research design, the study progresses through three main phases: design and construction, development and programming, and performance evaluation. In the design phase, this study integrates electronic components such as inductive proximity sensors, ultrasonic sensors, servo motors, LEDs, LCD, a buck converter with an Arduino ATMEGA 2560 microcontroller, and a backup power source from solar energy to operate each bin with an 11-gallon capacity. The development and programming phase implements a sophisticated waste management system using Arduino IDE, incorporating sensor inputs to classify and sort waste items accurately. Results showed an overall accuracy rate of 97% in waste segregation with a minimal error of 6%, where paper waste achieved 100% accuracy, while a 97% accuracy rate was seen in both plastic bottle and metal waste. These findings underscore the prototype's potential as a reliable waste management solution, contributing to more effective and sustainable waste segregation practices. Further enhancements can be explored to optimize functionality and usability, ensuring continued innovation in waste management technology.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15893275
Primary Topic
Census and Population Estimation
Type
article
Field-Weighted Citation Impact
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article

Revolutionizing waste management system through the development of an i-smart trash bin solid waste sorter

Zenodo (CERN European Organization for Nuclear Research)
Census and Population Estimation
article

Revolutionizing waste management system through the development of an i-smart trash bin solid waste sorter

article en

Abstract

This study presents a structured approach to creating an efficient waste management solution capable of segregating papers, plastic bottles, and metal cans. Following a developmental research design, the study progresses through three main phases: design and construction, development and programming, and performance evaluation. In the design phase, this study integrates electronic components such as inductive proximity sensors, ultrasonic sensors, servo motors, LEDs, LCD, a buck converter with an Arduino ATMEGA 2560 microcontroller, and a backup power source from solar energy to operate each bin with an 11-gallon capacity. The development and programming phase implements a sophisticated waste management system using Arduino IDE, incorporating sensor inputs to classify and sort waste items accurately. Results showed an overall accuracy rate of 97% in waste segregation with a minimal error of 6%, where paper waste achieved 100% accuracy, while a 97% accuracy rate was seen in both plastic bottle and metal waste. These findings underscore the prototype's potential as a reliable waste management solution, contributing to more effective and sustainable waste segregation practices. Further enhancements can be explored to optimize functionality and usability, ensuring continued innovation in waste management technology.

Zenodo (CERN European Organization for Nuclear Research)
Nueva Vizcaya State University (PH)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Census and Population Estimation
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