2771-1463ISSN (Online)
2771-1471ISSN (Print)
Volume 7 , Issue 1 , PP: 26-35, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Muralidharan A. 1 * , Pramod Chandra P. 2 , Steni Dev S. A. 3
Doi: https://doi.org/10.54216/JCHCI.070103
A novel solution has been developed to tackle the largest environmental threat caused by detritus. Our innovative proposal involves a specialized mechanism that employs Convolutional Neural Networks (CNNs) for image processing to automatically segregate garbage. The segregated plastics can be melted based on their type and transformed into 3D filaments, which are subsequently used with 3D printers to create new products. Artificial Intelligence is responsible for running this entire process while ensuring cost efficiency, functionality, and low power consumption as its primary goals. This machine's user-friendly interface ensures access even for those who live on the streets... In addition to promoting a healthier lifestyle through recycled goods production opportunities via our recycling project could help establish new sustainable business models providing employment possibilities. Moreover, utilizing these manufactured items decreases living costs substantially making them an affordable yet environmentally friendly option at half price reduction. Our advanced technology brings us one step closer towards overcoming this critical challenge resulting in creating cleaner ambiance leading toward greener healthy earth benefiting future generations too!
Plastic Waste , Recycling , Deep Learning-CNN , Segregation , Sensors , Grinding , 3D Filament
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