Muralidharan A
, Pramod Chandra P , Steni Dev S A , Malvika K , Vimala S
Plastic Waste, Recycling, Deep Learning-CNN, Segregation, Sensors, Grinding, 3D Filament
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!
Volume 11
Issue 2,
February-2024
Pages : 149-156
Paper Reg. ID: TIJER_151161
Published Paper Id: TIJERB001023
Downloads: 000288
Research Area: Science and Technology
Country: Thiruvallur, TamilNadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
