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http://dx.doi.org/10.7236/JIIBC.2022.22.5.17

Development of an intelligent edge computing device equipped with on-device AI vision model  

Kang, Namhi (Dept. of Cybersecurity, Duksung Women's University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.22, no.5, 2022 , pp. 17-22 More about this Journal
Abstract
In this paper, we design a lightweight embedded device that can support intelligent edge computing, and show that the device quickly detects an object in an image input from a camera device in real time. The proposed system can be applied to environments without pre-installed infrastructure, such as an intelligent video control system for industrial sites or military areas, or video security systems mounted on autonomous vehicles such as drones. The On-Device AI(Artificial intelligence) technology is increasingly required for the widespread application of intelligent vision recognition systems. Computing offloading from an image data acquisition device to a nearby edge device enables fast service with less network and system resources than AI services performed in the cloud. In addition, it is expected to be safely applied to various industries as it can reduce the attack surface vulnerable to various hacking attacks and minimize the disclosure of sensitive data.
Keywords
AI; Computer Vision; Deep Learning; Ondevice-AI; Lightweight Device;
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Times Cited By KSCI : 3  (Citation Analysis)
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