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Paper Abstract and Keywords
Presentation 2019-08-08 14:20
An energy efficient plant monitoring system on drones with edge AI module.
Tomoki Kobayashi, Tomoyuki Yokogawa, Nao igawa (Okayama Prefectual Univ.), Satoshi Fujii (National Institute of Tech., Okinawa College), Kazutami Arimoto (Okayama Prefectual Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the collaboration with drone technology has been expanded in various fields. Among them, expert drone system is expected. The current object detection system using drone transfers captured images to the host PC. Therefore, there is a problem that overheads such as resources of wireless communication and power consumption of the host PC become large.
We Suggest an energy efficient plant monitoring system on drones with edge AI module to solve this problem. In this paper, we evaluate the performance of edge AI modules embedded on Raspberry-Pi and FPGA. In addition, we suggest to select transfer data to reduce traffic.
Keyword (in Japanese) (See Japanese page) 
(in English) drone / an energy efficient / embedded AI / SSD / MobileNets / RaspberryPi / FPGA /  
Reference Info. ITE Tech. Rep., vol. 43, no. 25, IST2019-42, pp. 53-58, Aug. 2019.
Paper # IST2019-42 
Date of Issue 2019-08-01 (IST) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2019-08-07 - 2019-08-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ., Graduate School /Faculty of Information Science and 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Analog, Mixed Analog and Digital, RF, and Sensor Interface, Low Voltage/Low Power Techniques, Novel Devices/Circuits, and the Applications 
Paper Information
Registration To IST 
Conference Code 2019-08-SDM-ICD-IST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An energy efficient plant monitoring system on drones with edge AI module. 
Sub Title (in English)  
Keyword(1) drone  
Keyword(2) an energy efficient  
Keyword(3) embedded AI  
Keyword(4) SSD  
Keyword(5) MobileNets  
Keyword(6) RaspberryPi  
Keyword(7) FPGA  
1st Author's Name Tomoki Kobayashi  
1st Author's Affiliation Okayama Prefectual University (Okayama Prefectual Univ.)
2nd Author's Name Tomoyuki Yokogawa  
2nd Author's Affiliation Okayama Prefectual University (Okayama Prefectual Univ.)
3rd Author's Name Nao igawa  
3rd Author's Affiliation Okayama Prefectual University (Okayama Prefectual Univ.)
4th Author's Name Satoshi Fujii  
4th Author's Affiliation National Institute of Technology, Okinawa College (National Institute of Tech., Okinawa College)
5th Author's Name Kazutami Arimoto  
5th Author's Affiliation Okayama Prefectual University (Okayama Prefectual Univ.)
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Speaker Author-1 
Date Time 2019-08-08 14:20:00 
Presentation Time 25 minutes 
Registration for IST 
Paper # IST2019-42 
Volume (vol) vol.43 
Number (no) no.25 
Page pp.53-58 
Date of Issue 2019-08-01 (IST) 

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