Encouraging users in waste sorting using deep neural networks and gamification

15Citations
Citations of this article
41Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In recent years, the focus on sustainability has grown by everyone, including policymakers, companies, and consumers. In this perspective, recycling plays an important role because it allows to reduce the amount of waste to be disposed of, at the same time reducing the need for raw materials. This paper presents ScanBage, a web application designed and developed to support users in separating waste collection. It exploits two machine learning algorithms to automatically classify garbage categories and it employs Gamification elements with the aim of increasing user involvement.

Cite

CITATION STYLE

APA

Delnevo, G., Aguzzi, G., Letizi, S., Luffarelli, M., Petreti, A., & Mirri, S. (2021). Encouraging users in waste sorting using deep neural networks and gamification. In GoodIT 2021 - Proceedings of the 2021 Conference on Information Technology for Social Good (pp. 230–235). Association for Computing Machinery, Inc. https://doi.org/10.1145/3462203.3477056

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free