An FPGA-based motion-vision integrated system for real-time machine vision applications

Seunghun Jin; Dongkyun Kim; Taehoun Song; Quy Ngoc Le; Jae Wook Jeon

doi:10.1109/ISIE.2009.5218259

An FPGA-based motion-vision integrated system for real-time machine vision applications

Seunghun Jin
, Dongkyun Kim
, Taehoun Song
, Quy Ngoc Le
, Jae Wook Jeon

Department of Semiconductor Systems Engineering

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Intelligent industrial robots must respond rapidly to environmental stimuli, and therefore the integration and real-time processing of motion-vision functions are of utmost importance. Robot decision making and motion control are commonly based on visual information in industrial machine vision applications. However, conventional processors are inadequate for such real-time processing since they are not designed primarily to perform repetitive operations on a large amount of data. In this paper, we propose a new embedded system that performs motion-vision functions in real-time using a dedicated, integrated processor. By employing both conventional and a dedicated processor, we were able to design a motion-vision integrated system that is both efficient and versatile.

Original language	English
Title of host publication	Proceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics
Pages	700-705
Number of pages	6
DOIs	https://doi.org/10.1109/ISIE.2009.5218259
State	Published - 2009
Event	IEEE International Symposium on Industrial Electronics, IEEE ISIE 2009 - Seoul, Korea, Republic of Duration: 5 Jul 2009 → 8 Jul 2009

Publication series

Name	IEEE International Symposium on Industrial Electronics

Conference

Conference	IEEE International Symposium on Industrial Electronics, IEEE ISIE 2009
Country/Territory	Korea, Republic of
City	Seoul
Period	5/07/09 → 8/07/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/ISIE.2009.5218259

Cite this

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title = "An FPGA-based motion-vision integrated system for real-time machine vision applications",

abstract = "Intelligent industrial robots must respond rapidly to environmental stimuli, and therefore the integration and real-time processing of motion-vision functions are of utmost importance. Robot decision making and motion control are commonly based on visual information in industrial machine vision applications. However, conventional processors are inadequate for such real-time processing since they are not designed primarily to perform repetitive operations on a large amount of data. In this paper, we propose a new embedded system that performs motion-vision functions in real-time using a dedicated, integrated processor. By employing both conventional and a dedicated processor, we were able to design a motion-vision integrated system that is both efficient and versatile.",

author = "Seunghun Jin and Dongkyun Kim and Taehoun Song and Le, \{Quy Ngoc\} and Jeon, \{Jae Wook\}",

year = "2009",

doi = "10.1109/ISIE.2009.5218259",

language = "English",

isbn = "9781424443499",

series = "IEEE International Symposium on Industrial Electronics",

pages = "700--705",

booktitle = "Proceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics",

note = "IEEE International Symposium on Industrial Electronics, IEEE ISIE 2009 ; Conference date: 05-07-2009 Through 08-07-2009",

}

Jin, S, Kim, D, Song, T, Le, QN & Jeon, JW 2009, An FPGA-based motion-vision integrated system for real-time machine vision applications. in Proceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics., 5218259, IEEE International Symposium on Industrial Electronics, pp. 700-705, IEEE International Symposium on Industrial Electronics, IEEE ISIE 2009, Seoul, Korea, Republic of, 5/07/09. https://doi.org/10.1109/ISIE.2009.5218259

An FPGA-based motion-vision integrated system for real-time machine vision applications. / Jin, Seunghun; Kim, Dongkyun; Song, Taehoun et al.
Proceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics. 2009. p. 700-705 5218259 (IEEE International Symposium on Industrial Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An FPGA-based motion-vision integrated system for real-time machine vision applications

AU - Jin, Seunghun

AU - Kim, Dongkyun

AU - Song, Taehoun

AU - Le, Quy Ngoc

AU - Jeon, Jae Wook

PY - 2009

Y1 - 2009

N2 - Intelligent industrial robots must respond rapidly to environmental stimuli, and therefore the integration and real-time processing of motion-vision functions are of utmost importance. Robot decision making and motion control are commonly based on visual information in industrial machine vision applications. However, conventional processors are inadequate for such real-time processing since they are not designed primarily to perform repetitive operations on a large amount of data. In this paper, we propose a new embedded system that performs motion-vision functions in real-time using a dedicated, integrated processor. By employing both conventional and a dedicated processor, we were able to design a motion-vision integrated system that is both efficient and versatile.

AB - Intelligent industrial robots must respond rapidly to environmental stimuli, and therefore the integration and real-time processing of motion-vision functions are of utmost importance. Robot decision making and motion control are commonly based on visual information in industrial machine vision applications. However, conventional processors are inadequate for such real-time processing since they are not designed primarily to perform repetitive operations on a large amount of data. In this paper, we propose a new embedded system that performs motion-vision functions in real-time using a dedicated, integrated processor. By employing both conventional and a dedicated processor, we were able to design a motion-vision integrated system that is both efficient and versatile.

UR - https://www.scopus.com/pages/publications/77950138629

U2 - 10.1109/ISIE.2009.5218259

DO - 10.1109/ISIE.2009.5218259

M3 - Conference contribution

AN - SCOPUS:77950138629

SN - 9781424443499

T3 - IEEE International Symposium on Industrial Electronics

SP - 700

EP - 705

BT - Proceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics

T2 - IEEE International Symposium on Industrial Electronics, IEEE ISIE 2009

Y2 - 5 July 2009 through 8 July 2009

ER -

An FPGA-based motion-vision integrated system for real-time machine vision applications

Abstract

Publication series

Conference

UN SDGs

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