dc.contributor.author	Rawan Hassoun
dc.contributor.author	Amna Khdair
dc.date.accessioned	2023-05-15T09:42:25Z
dc.date.available	2023-05-15T09:42:25Z
dc.date.issued	2023
dc.description.abstract	On the day of every college student, it is normal for the student to get rid of the waste of eating and drinking. As a result, the university has a lot of waste that accumulates in its corridors, and because hygiene is a part of faith, we decided to recycle this waste in order to get rid of it as best as possible, recycling needs to classify this waste, which is why our project aims to do just that by creating a smart trash can. Among the most important characteristics of our project are the classification of garbage according to its type and the use of solar energy instead of electricity or other energy to provide energy to our project, and also opening the trash can using touch, as well as the possibility of adding any other feature that enhances the strength of our project depending on the time and the availability of other features. In order to analyze the trash in the university using machine learning and image processing, we will collect the majority of the trash discarded there. We will then use image processing to classify the trash, then gather the necessary pieces, understand how it works, and build and program the system based on its function. We believe we are the first team in our department of Computer Engineering to follow an idea similar to ours
dc.identifier.uri	https://hdl.handle.net/20.500.11888/18234
dc.supervisor	Dr. Ala’a Al-din Al-masri
dc.title	STC Friend

STC Friend

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