IITBTCAAI

Technocraft Center for Applied Artificial Intelligence

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Projects

Categorization of Landfill Mined Residues-coarse fractions using AI and ML techniques

A major fraction of the municipal solid waste generated, directed toward landfills, poses significant challenges like insufficient land, water contamination, and greenhouse emissions. To cater to these issues, landfill mining is being promoted worldwide. The current manual practices of landfill mined residues (LMRs) segregation being inefficient and hazardous to labor makes automation an inevitable alternative. This project aims the development of low-cost field implementable AI/ML-based techniques which integrate the infrared and visible response of LMR to ease the automation of their identification. Further, with the help of our industry partner, M/s Dalmia Cements, an attempt would be made to scale up the findings from this study for industrial implementation.

Faculty associated

Prof. Devendra Narain Singh, Department of Civil Engineering, , IIT Bombay