The Design and Implementation of an Autonomous Waste Sorting Machine Using Machine Learning Technique

Authors

  • Shirazush Salekin Chowdhury American International University-Bangladesh (AIUB)
  • Nahian Binte Hossain EEE, American International University-Bangladesh (AIUB)
  • Tamal Saha EEE, American International University-Bangladesh (AIUB)
  • Jannatul Ferdous EEE, American International University-Bangladesh (AIUB)
  • Md. Saniat Rahman Zishan Associate Professor. Dept. of EEE and CoE , AIUB

DOI:

https://doi.org/10.53799/ajse.v19i3.104

Abstract

In a world where the population is inevitably increasing, waste produced is progressively increasing as well. In this project, an autonomous waste sorting machine was made which could detect multiple classes of waste materials, and then separate them accordingly. The waste products were taken as input in a funnel-shaped structure and dropped one by one to a conveyor belt where they would be detected by machine learning technique using Faster-RCNN, and then a servo motor would separate them according to the detection result. In rare cases, there are some misdetections of the waste materials, but the reliability of the detection was very high. Our project can facilitate human efforts to separate waste products and can make the waste sorting system completely automatic.

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Published

03/31/2021

Issue

Vol. 19 No. 3 (2020): AJSE Volume:19 Issue:3 (2020)

Section

Articles

License

AJSE contents are under the terms of the Creative Commons Attribution License. This permits anyone to copy, distribute, transmit and adapt the work non-commercially provided the original work and source is appropriately cited.

How to Cite

[1]
“The Design and Implementation of an Autonomous Waste Sorting Machine Using Machine Learning Technique”, AJSE, vol. 19, no. 3, pp. 134–142, Mar. 2021, doi: 10.53799/ajse.v19i3.104.

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