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.
Citations
IRE Journals:
Aishwarya S, Esther Ck, Varadaraju Kn, Kushal Gowda Sp, Abdul Rahaman "Smart Plastic Classification System Using Python" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 58-61 https://doi.org/10.64388/IREV9I6-1712515
IEEE:
Aishwarya S, Esther Ck, Varadaraju Kn, Kushal Gowda Sp, Abdul Rahaman
"Smart Plastic Classification System Using Python" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712515
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