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Paper Abstract and Keywords
Presentation 2021-07-08 14:25
Imaging of snow accretion with various infrared sensors and detection by machine learning when the LED traffic light is on/off and the day and night
Yuta Miura, Yukino Seki, Hiroki Kawasaki, Yuxuan Wang, Tsubasa Saito, Yuichi Sato (Akita Univ.) ICTSSL2021-10
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, with the spread of light emitting diodes (LEDs), the use of LEDs for road indicators is progressing. However, LEDs generate less heat than conventional incandescent light bulbs, and the risk of traffic accidents due to the effects of snow accretion on the signal display is regarded as a problem. From the above background, we are studying a snow accretion removal system for signal lights. From previous research, we have confirmed that by using various infrared array sensors for monitoring under the same conditions that are not affected by the on / off of signal lights and day/night. In this study, in addition to these, we examined the recognition of snow accretion conditions using deep learning, in order to provide accurate feedback to the system for snow accretion removal.
Keyword (in Japanese) (See Japanese page) 
(in English) LED / bolometer / thermopile / CMOS / deep learning / YOLO / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 97, ICTSSL2021-10, pp. 12-16, July 2021.
Paper # ICTSSL2021-10 
Date of Issue 2021-07-01 (ICTSSL) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ICTSSL  
Conference Date 2021-07-08 - 2021-07-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICTSSL 
Conference Code 2021-07-ICTSSL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Imaging of snow accretion with various infrared sensors and detection by machine learning when the LED traffic light is on/off and the day and night 
Sub Title (in English)  
Keyword(1) LED  
Keyword(2) bolometer  
Keyword(3) thermopile  
Keyword(4) CMOS  
Keyword(5) deep learning  
Keyword(6) YOLO  
1st Author's Name Yuta Miura  
1st Author's Affiliation Akita University (Akita Univ.)
2nd Author's Name Yukino Seki  
2nd Author's Affiliation Akita University (Akita Univ.)
3rd Author's Name Hiroki Kawasaki  
3rd Author's Affiliation Akita University (Akita Univ.)
4th Author's Name Yuxuan Wang  
4th Author's Affiliation Akita University (Akita Univ.)
5th Author's Name Tsubasa Saito  
5th Author's Affiliation Akita University (Akita Univ.)
6th Author's Name Yuichi Sato  
6th Author's Affiliation Akita University (Akita Univ.)
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Speaker Author-1 
Date Time 2021-07-08 14:25:00 
Presentation Time 25 minutes 
Registration for ICTSSL 
Paper # ICTSSL2021-10 
Volume (vol) vol.121 
Number (no) no.97 
Page pp.12-16 
Date of Issue 2021-07-01 (ICTSSL) 

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