Proceedings of the Conference on Information Technology for Social Good 2021
DOI: 10.1145/3462203.3475921
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Take the trash out... to the edge. Creating a Smart Waste Bin based on 5G Multi-access Edge Computing

Abstract: The fifth generation of mobile cellular networks (5G) will bring many improvements to our everyday lives. In particular, the interplay between 5G and IoT technologies will pave the way for the realisation of the Smart City concept, providing humans with better, safer and cleaner cities. In this work, we describe the prototype of a Smart Waste Bin, a connected trash bin that automatically sorts garbage with the help of Convolutional Neural Networks algorithms. The bin intelligence runs on the edge of the 5G net… Show more

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Cited by 5 publications
(11 citation statements)
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“…Motivated by these reasons, this paper extends our previous paper [19] and describes the realization of a complete solution for the efficient management of USW. The key building block of our proposal is a novel prototype of a Smart Waste Bin (SWB), a smart object able to automatically sort different types of trash directly at the place of generation using a multi-sensor approach, thus easing the management of the entire trash cycle.…”
Section: Introductionmentioning
confidence: 75%
“…Motivated by these reasons, this paper extends our previous paper [19] and describes the realization of a complete solution for the efficient management of USW. The key building block of our proposal is a novel prototype of a Smart Waste Bin (SWB), a smart object able to automatically sort different types of trash directly at the place of generation using a multi-sensor approach, thus easing the management of the entire trash cycle.…”
Section: Introductionmentioning
confidence: 75%
“…Manual feeding: The user deposits the pieces of waste, one at a time, to be sensed by the device. Visible-image-based [6,7,41] and sound-based sensors [12], as well as inductive and capacitive sensors [42], are used for sensing. Afterwards, a gravity-based mechanism is used to perform the separation.…”
Section: Physical Enablersmentioning
confidence: 99%
“…The most common complementary functionalities are trash-can-level detection [6,10,38], abnormal gas detection [10], a web platform [6,10,43], or a mobile application [38].…”
Section: Physical Enablersmentioning
confidence: 99%
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