Abstract:
Waste management is a growing global concern, with over 2 billion tons of waste produced annually, of which nearly 10% is hazardous. Traditional methods of waste sorting are inefficient, leading to significant environmental and health impacts. Recent advancements in computer vision and deep learning have opened opportunities for automated waste classifi- cation, which can significantly enhance the efficiency of recycling processes.
Reference this Research Paper (copy & paste below code):
Tuteja, Anvi
(2024); A Novel Approach for Waste Classification in Edge Devices; International Journal of Scientific and Research Publications (IJSRP)
14(10) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.14.10.2024.p15424