Paper Abstract and Keywords |
Presentation |
2023-05-26 11:40
A study on modulation and demodulation methods applying object detection DNN for digital signage and image sensor-based visible light communication Yuya Miki, Kentaro Kobayashi, Wataru Chujo (Meijo Univ) WBS2023-8 RCC2023-8 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This study discusses a visible light communication system using a digital signage as a transmitter and an image sensor as a receiver. The transmitter modulates and superimposes data signals on the signage image so that they cannot be easily perceived, and the receiver detects and demodulates the data signals after differential processing of time-sequential received images. In the conventional studies, the detection and demodulation of the data signals are processed independently. In this study, we propose a new algorithm that simultaneously processes signal detection and demodulation by applying object detection DNN(Deep Neural Network). In addition, we investigate and evaluate suitable data signal formats for demodulation using the object detection DNN. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Digital Signage / Visible Light Communication / Object Detection / DNN / Machine Learning / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 47, WBS2023-8, pp. 41-46, May 2023. |
Paper # |
WBS2023-8 |
Date of Issue |
2023-05-18 (WBS, RCC) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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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WBS2023-8 RCC2023-8 |
Conference Information |
Committee |
MICT WBS RCC SAT |
Conference Date |
2023-05-25 - 2023-05-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
TOKYO BIG SIGHT |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Joint Meeting of RCC, WBS, SAT, and MICT |
Paper Information |
Registration To |
WBS |
Conference Code |
2023-05-MICT-WBS-RCC-SAT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A study on modulation and demodulation methods applying object detection DNN for digital signage and image sensor-based visible light communication |
Sub Title (in English) |
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Keyword(1) |
Digital Signage |
Keyword(2) |
Visible Light Communication |
Keyword(3) |
Object Detection |
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DNN |
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Machine Learning |
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1st Author's Name |
Yuya Miki |
1st Author's Affiliation |
Meijo University (Meijo Univ) |
2nd Author's Name |
Kentaro Kobayashi |
2nd Author's Affiliation |
Meijo University (Meijo Univ) |
3rd Author's Name |
Wataru Chujo |
3rd Author's Affiliation |
Meijo University (Meijo Univ) |
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Speaker |
Author-1 |
Date Time |
2023-05-26 11:40:00 |
Presentation Time |
25 minutes |
Registration for |
WBS |
Paper # |
WBS2023-8, RCC2023-8 |
Volume (vol) |
vol.123 |
Number (no) |
no.47(WBS), no.48(RCC) |
Page |
pp.41-46 |
#Pages |
6 |
Date of Issue |
2023-05-18 (WBS, RCC) |
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