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Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation
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A 5G-Enabled Smart Waste Management System for University Campus.

Edoardo Longo1, Fatih Alperen Sahin1, Alessandro E C Redondi1

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This study introduces a smart waste bin for university campuses to boost recycling rates. The system uses a hybrid algorithm to classify and segregate campus waste, improving waste management.

Keywords:
Smart Campusmulti access edge computingsmart waste managementwaste classification

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Area of Science:

  • Computer Science
  • Environmental Science
  • Engineering

Background:

  • Future university campuses will integrate Internet of Things (IoT) services like smart parking and libraries.
  • Effective waste management is crucial for campus sustainability and operational efficiency.

Purpose of the Study:

  • To propose and evaluate a smart waste management system for university campuses.
  • To increase campus recycling rates and optimize the waste management cycle.

Main Methods:

  • Development of a smart waste bin prototype.
  • Implementation of a hybrid sensor/image classification algorithm for trash identification.
  • Automatic segregation of different waste materials.

Main Results:

  • The smart waste bin accurately classifies common campus waste.
  • The system effectively segregates waste materials for recycling.
  • Performance evaluation across various scenarios demonstrated system viability.

Conclusions:

  • The proposed smart waste bin system offers a viable solution for enhancing campus recycling.
  • Advanced functionalities like optimized maintenance scheduling can be built around the system.
  • This technology contributes to smarter, more sustainable university campus environments.