Paper
24 October 2023 Waste classification Internet of Things services based on blockchain
LuYang Cai
Author Affiliations +
Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 1280403 (2023) https://doi.org/10.1117/12.2684559
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China
Abstract
At present, the market that is more used is plastic garbage cans, metal trash cans and other traditional garbage cans, and smart garbage cans are less. The technology is more mature intelligent garbage cans to the effect of inductive opening and closing garbage can lid effect, such as infrared and other sensor devices. Yet, because intelligent automatic classification of garbage bins have not yet formed, we designed a blockchain-based garbage classification Internet of Things service to respond to the intelligent trend. The blockchain-based waste sorting IoT service introduced in this article fully integrates the leading technology of smart trash cans with the novelty of market government regulation. Through Google's open-source machine learning architecture Tensorflow, the face recognition algorithm is independently trained, with an accuracy rate of 81.3%, and the biometric function is supplemented by Face++ interface, token incentive and other refined management to meet daily commercial needs. The team cohesively faces the three directions of government, the masses and enterprises, creates a platform to promote the information exchange of garbage classification, and realizes the implementation of the "blockchain + garbage classification" model nationwide.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
LuYang Cai "Waste classification Internet of Things services based on blockchain", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 1280403 (24 October 2023); https://doi.org/10.1117/12.2684559
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KEYWORDS
Blockchain

Design and modelling

Classification systems

Data modeling

Internet of things

Clouds

Control systems

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