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

AIUB Journal of Science and Engineering

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Field Value
 
Title The Design and Implementation of an Autonomous Waste Sorting Machine Using Machine Learning Technique
 
Creator Chowdhury, Shirazush Salekin
Hossain, Nahian Binte
Saha, Tamal
Ferdous, Jannatul
Zishan, Md. Saniat Rahman
 
Description 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.
 
Publisher American International University-Bangladesh
 
Date 2021-03-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://ajse.aiub.edu/index.php/ajse/article/view/104
 
Source AIUB Journal of Science and Engineering (AJSE); Vol 19 No 3 (2020): AJSE Volume:19 Issue:3 (2020); 134 - 142
2520-4890
1608-3679
 
Language eng
 
Relation http://ajse.aiub.edu/index.php/ajse/article/view/104/79
 
Rights Copyright (c) 2021 AIUB Journal of Science and Engineering (AJSE)
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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