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Applicant:
Indian Institute of Technology (IIT) Patna 
Author:
Gundupalli, S.P., S. Hait, and A. Thakur 
Corresponding Authors:
A. Thakur 
DOI #:
https://doi.org/10.1016/j.wasman.2017.09.019 
Title:
Multi-material classification of dry recyclables from municipal solid waste based on thermal imaging 
Journal:
Waste Management  
Year:
2017 
Volume:
70 
Page:
13 
Keywords:
Municipal solid waste, Dry recyclables, Mult-material classification, Thermal imaging. Automated sorting, Recycling 
Abstract:
There has been a significant rise in municipal solid waste (MSW) generation in the last few decades due to rapid urbanization and industrialization. Due to the lack of source segregation practice, a need for automated segregation of recyclables from MSW exists in the developing countries. This paper reports a thermal imaging based system for classifying useful recyclables from simulated MSW sample. Experimental results have demonstrated the possibility to use thermal imaging technique for classification and a robotic system for sorting of recyclables in a single process step. The reported classification system yields an accuracy in the range of 85–96% and is comparable with the existing single-material recyclable classification techniques. We believe that the reported thermal imaging based system can emerge as a viable and inexpensive large-scale classification-cum-sorting technology in recycling plants for processing MSW in developing countries.  
Entered by:
Venkata Dantham on 2020-08-03 
 
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