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AI-Based Models to determine the automatic detection of garbage floating over Holy Rivers: A test case of Yamuna River

SOCIETAL Programme : 800

Group members:

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Vijaya Choudhary (20EE20A32001)

Lalita (10PP20A32007)

Roopa (10PP21J32007)

Bipul kumar Pradhan (10PP20A32022)

Navneet kumar karn (10PP20A32012)

AcSIR Coordinator of the 800 program: Dr. D.D. Shivgan

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Presentation Outline

  • Introduction
  • Literature Review
  • Gap Analysis
  • Experimental Procedure and Proposed Methodology
  • Results
  • Future Work
  • References

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INTRODUCTION

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  • Water pollution is a significant environmental problem affecting humans' and wildlife's health and wellbeing.
  • River garbage is a primary contributor to water pollution and significantly threatens marine life.
  • Detecting and managing garbage in rivers is crucial for effective pollution management and conservation efforts.
  • Traditional methods of detecting trash in rivers are often labor-intensive and time-consuming, making it challenging to identify and manage garbage promptly. Primarily contributes

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Literature Survey�

  • A modified YOLOv3 detection method for vision-based water surface garbage capture robot published in 2019.

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  • Aqua Vision: Automating the detection of waste in water bodies using deep transfer learning published on 25 December 2020.

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  • Detection and Removal of Floating Wastes on Water Bodies published on 2017.
  • Coastal Waste Detection Based on Deep Convolutional Neural Networks published on 2021.

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AI based solution- Technical methodology

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AI based solution- ANN

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AI-based solution- Technical methodology- CNN

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THANK YOU

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22 December 2023