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Paper Abstract and Keywords
Presentation 2021-03-05 14:05
[Short Paper] Fault determination of electric motor coil by YOLO-v3 with Attention
Mizuki Kato (Ritsumeikan Univ Grad), Yutaro Iwamoto (Ritsumeikan Univ), Toshitaka Sugimoto, Toru Aiba (Kusatsu Electric), Yen-Wei Chen (Ritsumeikan Univ)
Abstract (in Japanese) (See Japanese page) 
(in English) Object detection has been widely applied to the visual inspection of factory products. However, since the detection model needs to be improved depending on the object and the problem setting, it is necessary to fine-tune the parameters of the model and introduce new feature extractors. The purpose of this study is to automatically detect defective electric motor coils using an object detection method. We introduce the Attention mechanism to the existing object detection method YOLO-v3 with the aim of highlighting the location information of the defective part in the image.
Keyword (in Japanese) (See Japanese page) 
(in English) Object detection / Electric motor coil segmentation / YOLO-v3 / Attention / / / /  
Reference Info. ITE Tech. Rep., vol. 45, no. 7, HI2021-7, pp. 25-26, March 2021.
Paper # HI2021-7 
Date of Issue 2021-02-26 (HI) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee HI  
Conference Date 2021-03-05 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
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Paper Information
Registration To HI 
Conference Code 2021-03-HI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fault determination of electric motor coil by YOLO-v3 with Attention 
Sub Title (in English)  
Keyword(1) Object detection  
Keyword(2) Electric motor coil segmentation  
Keyword(3) YOLO-v3  
Keyword(4) Attention  
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1st Author's Name Mizuki Kato  
1st Author's Affiliation Ritsumeikan University Graduate School (Ritsumeikan Univ Grad)
2nd Author's Name Yutaro Iwamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
3rd Author's Name Toshitaka Sugimoto  
3rd Author's Affiliation Kusatsu Electric Company Limited (Kusatsu Electric)
4th Author's Name Toru Aiba  
4th Author's Affiliation Kusatsu Electric Company Limited (Kusatsu Electric)
5th Author's Name Yen-Wei Chen  
5th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
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Speaker
Date Time 2021-03-05 14:05:00 
Presentation Time 25 
Registration for HI 
Paper # ITE-HI2021-7 
Volume (vol) ITE-45 
Number (no) no.7 
Page pp.25-26 
#Pages ITE-2 
Date of Issue ITE-HI-2021-02-26 


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