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An Intelligent App-based System for Waste Segregation and Collection

    Research output: Contribution to journalConference articlepeer-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 202324 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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