A Study on the Image/Video Data Processing Methods for Edge Computing-Based Object Detection Service


KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 11, pp. 319-328, Nov. 2023
https://doi.org/10.3745/KTCCS.2023.12.11.319,   PDF Download:  
Keywords: EdgeX Foundry, Edge Computing, Object Detection, Artificial intelligence
Abstract

Unlike cloud computing, edge computing technology analyzes and judges data close to devices and users, providing advantages such as real-time service, sensitive data protection, and reduced network traffic. EdgeX Foundry, a representative open source of edge computing platforms, is an open source-based edge middleware platform that provides services between various devices and IT systems in the real world. EdgeX Foundry provides a service for handling camera devices, along with a service for handling existing sensed data, which only supports simple streaming and camera device management and does not store or process image data obtained from the device inside EdgeX. This paper presents a technique that can store and process image data inside EdgeX by applying some of the services provided by EdgeX Foundry. Based on the proposed technique, a service pipeline for object detection services used core in the field of autonomous driving was created for experiments and performance evaluation, and then compared and analyzed with existing methods.


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Cite this article
[IEEE Style]
J. S. Won and Y. Hong, "A Study on the Image/Video Data Processing Methods for Edge Computing-Based Object Detection Service," KIPS Transactions on Computer and Communication Systems, vol. 12, no. 11, pp. 319-328, 2023. DOI: https://doi.org/10.3745/KTCCS.2023.12.11.319.

[ACM Style]
Jang Shin Won and Yong-Geun Hong. 2023. A Study on the Image/Video Data Processing Methods for Edge Computing-Based Object Detection Service. KIPS Transactions on Computer and Communication Systems, 12, 11, (2023), 319-328. DOI: https://doi.org/10.3745/KTCCS.2023.12.11.319.