@article{M51E0F83C,
title = "A Study on the Image/Video Data Processing Methods for Edge Computing-Based Object Detection Service",
journal = "The Transactions of the Korea Information Processing Society",
year = "2023",
issn = "null",
doi = "https://doi.org/10.3745/KTCCS.2023.12.11.319",
author = "Jang Shin Won/Yong-Geun Hong",
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."
}