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Paper Abstract and Keywords
Presentation 2026-06-22 15:10
Lightweight Implementations for Electronic Component Recognition Using YOLO v8
Takuto Shiraishi, Qi Li, Tomonori Izumi (Ritsumeikan Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) To improve the efficiency of electronic waste recycling, we aim to develop an automated analysis system for electronic circuit boards. In this study, we use YOLO (You Only Look Once), a deep-learning based object detection model, to attempt the automatic recognition of components on electronic circuit boards. We evaluate inference time and accuracy across some models and image sizes and pursue a lightweight implementation suitable for embedded systems.
Keyword (in Japanese) (See Japanese page) 
(in English) deep learning / object detection / YOLO v8 / electronic waste / resource recycling / / /  
Reference Info. ITE Tech. Rep., vol. 50, pp. 10-13, June 2026.
Paper #  
Date of Issue 2026-06-15 (AIT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IIEEJ AIT  
Conference Date 2026-06-22 - 2026-06-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IIEEJ 
Conference Code 2026-06-IIEEJ-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Lightweight Implementations for Electronic Component Recognition Using YOLO v8 
Sub Title (in English)  
Keyword(1) deep learning  
Keyword(2) object detection  
Keyword(3) YOLO v8  
Keyword(4) electronic waste  
Keyword(5) resource recycling  
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Keyword(8)  
1st Author's Name Takuto Shiraishi  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Qi Li  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Tomonori Izumi  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2026-06-22 15:10:00 
Presentation Time 20 minutes 
Registration for IIEEJ 
Paper # AIT2026-178 
Volume (vol) vol.50 
Number (no) no.18 
Page pp.10-13 
#Pages
Date of Issue 2026-06-15 (AIT) 


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