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Exploring the Direction of Digital Platform Government by Text Mining Technique: Lessons from the Fourth Industrial Revolution Agenda
| Vol. 22 No.5 | pp.139-146|Year 2022 Month 10
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A Study on Implementation Plan for AI Service Impact Assessment
| Vol. 22 No.5 | pp.147-157|Year 2022 Month 10
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Polynomial Time Algorithm for Worker Assignment Problem
| Vol. 22 No.5 | pp.159-164|Year 2022 Month 10
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Correlation Analysis between COVID-19 and Plastic Emissions : Upcycle
| Vol. 22 No.5 | pp.165-170|Year 2022 Month 10
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Deep learning-based custom problem recommendation algorithm to improve learning rate
| Vol. 22 No.5 | pp.171-176|Year 2022 Month 10
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Performance of Exercise Posture Correction System Based on Deep Learning
| Vol. 22 No.5 | pp.177-183|Year 2022 Month 10
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Sampling-based Super Resolution U-net for Pattern Expression of Local Areas
| Vol. 22 No.5 | pp.185-191|Year 2022 Month 10
Vol. 22 No.5 | pp.17-22.
Development of an intelligent edge computing device equipped with on-device AI vision model
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...
