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http://dx.doi.org/10.17661/jkiiect.2022.15.4.257

The Design of Smart Factory System using AI Edge Device  

Han, Seong-Il (Tricomtek co., Ltd, Research & Development Center)
Lee, Dae-Sik (Tricomtek co., Ltd, Research & Development Center)
Han, Ji-Hwan (Tricomtek co., Ltd, Research & Development Center)
Shin, Han Jae (Gumi Electronics & Information Technology Research Institute)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.15, no.4, 2022 , pp. 257-270 More about this Journal
Abstract
In this paper, we design a smart factory risk improvement system and risk improvement method using AI edge devices. The smart factory risk improvement system collects, analyzes, prevents, and promptly responds to the worker's work performance process in the smart factory using AI edge devices, and can reduce the risk that may occur during work with improving the defect rate when workers perfom jobs. In particular, based on worker image information, worker biometric information, equipment operation information, and quality information of manufactured products, it is possible to set an abnormal risk condition, and it is possible to improve the risk so that the work is efficient and for the accurate performance. In addition, all data collected from cameras and IoT sensors inside the smart factory are processed by the AI edge device instead of all data being sent to the cloud, and only necessary data can be transmitted to the cloud, so the processing speed is fast and it has the advantage that security problems are low. Additionally, the use of AI edge devices has the advantage of reducing of data communication costs and the costs of data transmission bandwidth acquisition due to decrease of the amount of data transmission to the cloud.
Keywords
AI; Smart Factory; Cloud; Edge Device; Risk Improvement System;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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