Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1326
Title: AI - Driven Smart Bin for Waste Management
Authors: Abeygunawardhana, A. G. D. T.
Shalinda, R. M. M. M.
Bandara, W. H. M. D.
W. D. S. Anesta, D.
Kasthurirathna
Abeysiri, L.
Keywords: Image processing
Machine Learning
Artificial Intelligence
Neural Networks (NN)
Internet of Things(IoT)
Issue Date: 10-Dec-2020
Publisher: 2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT
Abstract: With increasing urbanization, waste has become a major problem in the present world. Therefore, proper waste management is a must for a healthy and clean environment. Though government authorities in most countries provide various solutions for waste management, solid waste tends to make a significant impact on the environment as they do not decompose easily. This research focuses on AI (Artificial Intelligence)-driven smart waste bin that can classify the most widely available solid waste materials namely Metal, Glass, and Plastic. The smart waste bin performs the separation of waste using image processing and machine learning algorithms. The system also performs the continuous monitoring of the collected waste level by using ultrasonic sensors. A dedicated mobile application will generate the optimal routes for the available waste collectors to collect the filled bins. Moreover, with this smart bin, the challenge of recognizing each waste item is overcome by using visual data as the source. Therefore, the usage of expensive sensor devices and filtration techniques to determine the category is disregarded. The smart bin can recognize the category of solid waste, collect it to the specified container, and notify the garbage level in each container. So, it is a portable waste management system.
URI: http://rda.sliit.lk/handle/123456789/1326
ISSN: 978-1-7281-8412-8
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Department of Computer Science and Software Engineering-Scopes

Files in This Item:
File Description SizeFormat 
AI_-_Driven_Smart_Bin_for_Waste_Management.pdf
  Until 2050-12-31
321.62 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.