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Paper Abstract and Keywords
Presentation 2020-12-18 11:15
Research and Evaluation of Low-Power Detection System of Harmful Wildlife Utilizing Multiple Sensing Devices
Daichi Ozaki, Hiroshi Yamamoto (Ritsumeikan Univ.), Eiji Utsunomiya, Kiyohito Yoshihara (KDDI Research, Inc.) NS2020-99
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, there have been several incidents of crop damage and injury caused by harmful animals in various areas of Japan each year, amounting to about 15.8 billion yen in 2018. In order to reduce the damage, a number of existing studies have been conducted on camera-based systems. However, this existing system requires that the sensing devices should always be running, which makes it inappropriate for installation in mountainous areas where electronic power is difficult to be supplied to the system.
Therefore, in this research, we propose a new harmful animals detection system that can detect not only the approaching of animals to the traps and the fences but also their species and postures by combining various sensing technologies (i.e., beacon sensing, laser radar, and depth camera). The beacon sensing attempts to detect the passage of moving objects by analyzing changes in received signal strength caused by reflection, diffraction, and absorption of radio wave beacons by the object. After detecting the passage of the moving object, a small computer is activated to measure distance to the target object using a laser radar and depth camera. The time-series data of the measured distance is analyzed by the machine learning technology to estimate the type of the moving object (e.g., human, animal) and the posture. As explained above, by gradually activating the sensors with higher power consumption, the proposed system achieves power-saving.
Keyword (in Japanese) (See Japanese page) 
(in English) wireless sensing / laser radar / depth camera / machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 297, NS2020-99, pp. 66-71, Dec. 2020.
Paper # NS2020-99 
Date of Issue 2020-12-10 (NS) 
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)
Download PDF NS2020-99

Conference Information
Committee NS RCS  
Conference Date 2020-12-17 - 2020-12-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. 
Paper Information
Registration To NS 
Conference Code 2020-12-NS-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Research and Evaluation of Low-Power Detection System of Harmful Wildlife Utilizing Multiple Sensing Devices 
Sub Title (in English)  
Keyword(1) wireless sensing  
Keyword(2) laser radar  
Keyword(3) depth camera  
Keyword(4) machine learning  
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1st Author's Name Daichi Ozaki  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Hiroshi Yamamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Eiji Utsunomiya  
3rd Author's Affiliation KDDI Research, Inc. (KDDI Research, Inc.)
4th Author's Name Kiyohito Yoshihara  
4th Author's Affiliation KDDI Research, Inc. (KDDI Research, Inc.)
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Speaker Author-1 
Date Time 2020-12-18 11:15:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2020-99 
Volume (vol) vol.120 
Number (no) no.297 
Page pp.66-71 
#Pages 6 
Date of Issue 2020-12-10 (NS) 

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