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An Intelligent App-based System for Waste Segregation and Collection

Research output: Contribution to journal › Conference article › peer-review

Abstract

Municipal solid waste generation in India is increasing as a result of rapid urbanisation and a growing population. Due to gaps in the existing waste collection, treatment and recovery methods, large-scale unscientific disposal and lesser waste recovery have been observed. Insufficient source segregation, unorganised efforts, less awareness and indifference towards malpractice, and a lack of strict implementation were identified as the causes through literature review, surveys and interviews, Therefore, there is a need for a system of interventions, which organises efforts toward waste management and reduces the tolerance for source segregation errors. This paper aims to provide a solution that increases community participation and prevents the generation of mixed waste to ensure waste recovery. The proposed framework integrates municipal solid waste, human elements, and technology into an intelligent app-based system. This includes a smart bin that segregates waste at the source through image classification and an application for communication and data collection.

Original languageEnglish
Pages (from-to)2843-2856
Number of pages14
JournalProcedia Computer Science
Volume235
DOIs
Publication statusPublished - 2024
Event2nd International Conference on Machine Learning and Data Engineering, ICMLDE 2023 - Dehradun, India
Duration: 23 Nov 2023 → 24 Nov 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • App Development
  • Artificial Intelligence
  • Smart Bin
  • Solid Waste
  • Source Segregation
  • Waste Management

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