@inproceedings{7e832f269890494c8d3d344174c4a35b,
title = "Enhancing Waste Management Sustainability Through Smart and Incentivized Sorting",
abstract = "This paper presents an intelligent waste sorting system that utilizes computer vision and deep learning to accurately categorize waste items. Moreover, the system incentivizes proper waste disposal through a rewards scheme. Testing indicated over 90% accuracy in classifying waste into multiple categories. This sustainable solution has strong potential to address critical waste management challenges.",
keywords = "Incentivization, Waste management, Waste sorting, YOLOv5",
author = "Muluberhan Woga and Rediet Negash and Ahmedin Bekera and Nathanael Alemu and Nazar Zaki",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 15th Annual Undergraduate Research Conference on Applied Computing, URC 2024 ; Conference date: 24-04-2024 Through 25-04-2024",
year = "2024",
doi = "10.1109/URC62276.2024.10604533",
language = "English",
series = "Proceedings of the 15th Annual Undergraduate Research Conference on Applied Computing on {"}AI for a Sustainable Economy.” URC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 15th Annual Undergraduate Research Conference on Applied Computing on {"}AI for a Sustainable Economy.� URC 2024",
}