WATER CLEANING BOT WITH WASTE SEGREGATION USING IMAGE PROCESSING

  • Unique Paper ID: 154166
  • Volume: 8
  • Issue: 7
  • PageNo: 19-23
  • Abstract:
  • Dumping of waste into water bodies has become a major threat to environment. Removal of these floating waste such as plastic, paper, cardboard etc is a biggest challenge. This paper propose a ’Water cleaning bot’ along with a waste segregating mechanism to remove the waste from the water surfaces. It also includes an automated waste classification system using Convolution Neural Network (CNN) algorithm, a Deep Learning based image classification model used to classify objects into bio and non-biodegradable, based on the object recognition accuracy in real-time. The hardware part consist of ESP32 and Raspberry pi as the core module. The waste collection mechanism is established through belt conveyor mechanism.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{154166,
        author = {Prof ANAS M M and ATHIRA M and ANUGRAHA SURESH and ARCHANA K and MANEESHA SHAJI},
        title = {WATER CLEANING BOT WITH WASTE SEGREGATION USING IMAGE PROCESSING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {19-23},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154166},
        abstract = {Dumping  of waste into water  bodies has  become a major   threat to  environment. Removal  of these  floating  waste such   as  plastic, paper,  cardboard  etc  is  a  biggest   challenge. This  paper  propose  a ’Water  cleaning  bot’  along  with  a waste segregating   mechanism   to  remove  the  waste  from  the  water surfaces. It also includes an automated waste classification system using Convolution Neural Network (CNN) algorithm,  a Deep Learning  based image classification model used to classify objects into bio and  non-biodegradable, based  on the object recognition accuracy  in real-time. The hardware  part  consist  of ESP32  and Raspberry pi as the core module. The waste collection mechanism is established  through belt conveyor  mechanism.},
        keywords = {CNN,  Waste  detection,   Waste  sorting,  Web
Analysis, Bot Control  Mechanism.
},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 7
  • PageNo: 19-23

WATER CLEANING BOT WITH WASTE SEGREGATION USING IMAGE PROCESSING

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