Smart Classification Recycle Bin with a Reward Point System

Rasha Atwah 1
Rewaa Barakat 1
Taraf Alsubaie 1
Dana Zuhairy 1
Publication typeBook Chapter
Publication date2025-03-30
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ISSN29482321, 2948233X
Abstract

Improper waste disposal may release toxins, including methane gas, to the environment, potentially contributing to the greenhouse effect. In accordance with the 2030 vision of the Kingdom of Saudi Arabia to produce a sustainable, healthy environment, we designed and implemented a prototype smart recycling bin that effectively classifies and sorts recyclable materials deposited by consumers and provides real-time monitoring of the bin for adverse conditions. Additionally, a reward system is incorporated to incentivize consumers to engage in recycling programs. The Smart Classification Recycling Bin (SCRB) thus improves the safety and efficiency of the recycling process, reduces the burden of decision-making and sorting by humans, and promotes recycling among the population. This innovative system uses Artificial Intelligence (AI) integrated with camera vision to classify the materials based on composition (plastic, paper, metal, or electronic waste). Sensors are installed in the SCRB to detect gas concentrations, temperature, and storage materials approaching bin capacity. An Internet of Things (IoT) interface provides administrators with real-time monitoring and alarm notification of SCRB conditions, and it executes consumer rewards transactions. While the prototype SCRB shows promising accuracy rates, up to 89% in sorting recyclable materials, there exist numerous possibilities for enhanced performance of future designs.

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Atwah R. et al. Smart Classification Recycle Bin with a Reward Point System // Proceedings in Technology Transfer. 2025. pp. 187-195.
GOST all authors (up to 50) Copy
Atwah R., Barakat R., Alsubaie T., Zuhairy D. Smart Classification Recycle Bin with a Reward Point System // Proceedings in Technology Transfer. 2025. pp. 187-195.
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TY - GENERIC
DO - 10.1007/978-981-97-8588-9_18
UR - https://link.springer.com/10.1007/978-981-97-8588-9_18
TI - Smart Classification Recycle Bin with a Reward Point System
T2 - Proceedings in Technology Transfer
AU - Atwah, Rasha
AU - Barakat, Rewaa
AU - Alsubaie, Taraf
AU - Zuhairy, Dana
PY - 2025
DA - 2025/03/30
PB - Springer Nature
SP - 187-195
SN - 2948-2321
SN - 2948-233X
ER -
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@incollection{2025_Atwah,
author = {Rasha Atwah and Rewaa Barakat and Taraf Alsubaie and Dana Zuhairy},
title = {Smart Classification Recycle Bin with a Reward Point System},
publisher = {Springer Nature},
year = {2025},
pages = {187--195},
month = {mar}
}