Year: 2025
Type: article
Abstract: This project presents a Smart Plastic Classification System that automatically detects and classifies plastic waste using a YOLO-based deep learning model. Images of plastics are captured and processed to identify types such as PET, HDPE, PVC, LDPE, PP, and PS. The system improves recycling efficiency by reducing manual sorting and increasing accuracy. Results show fast and reliable plastic identification, making the solution useful for waste management and environmental sustainability.
Authors: Aishwarya S, Esther Ck, Varadaraju Kn, Kushal Gowda Sp, Abdul Rahaman
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4417216696
FWCI:
Cites:
Cited by:
Related to: