Presentation 2021-01-22
[Short Paper] Basic examination about wiring status judgment of switchboard by image recognition
Keishi Nishimoto, Takeshi Hirama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In the manufacturing industry, especially in the field of wiring work, the shortage of workers is an issue, and even beginner need to suppress erroneous work such as wiring mistakes and work omissions. There is a need for a work support system that constantly monitors work, detects wiring mistakes and work omissions, and presents them to workers as needed. When developing the system, we conducted a basic research on how accurate the work status can be recognized when image recognition processing is used to recognize the work status. As a result, the combination of VGG11 and adam, and VGG16 and Momentum had the highest accuracy rate, with an accuracy of 98.66%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Machine learning / ResNet / VGG / Wiring work / Work status recognition
Paper # MVE2020-40
Date of Issue 2021-01-14 (MVE)

Conference Information
Committee MVE / IPSJ-CVIM
Conference Date 2021/1/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Masayuki Ihara(NTT)
Vice Chair Kiyoshi Kiyokawa(NAIST)
Secretary Kiyoshi Kiyokawa(Oosaka Inst. of Tech.) / (NTT)
Assistant Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT)

Paper Information
Registration To Technical Committee on Media Experience and Virtual Environment / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Short Paper] Basic examination about wiring status judgment of switchboard by image recognition
Sub Title (in English)
Keyword(1) Machine learning
Keyword(2) ResNet
Keyword(3) VGG
Keyword(4) Wiring work
Keyword(5) Work status recognition
1st Author's Name Keishi Nishimoto
1st Author's Affiliation Industrial Technology Innovation Center Of Ibaraki Prefecture(itic.pref.ibaraki.jp)
2nd Author's Name Takeshi Hirama
2nd Author's Affiliation Industrial Technology Innovation Center Of Ibaraki Prefecture(itic.pref.ibaraki.jp)
Date 2021-01-22
Paper # MVE2020-40
Volume (vol) vol.120
Number (no) MVE-319
Page pp.pp.45-46(MVE),
#Pages 2
Date of Issue 2021-01-14 (MVE)