| Presentation | 2020-12-18 Research and Evaluation of Low-Power Detection System of Harmful Wildlife Utilizing Multiple Sensing Devices Daichi Ozaki, Hiroshi Yamamoto, Eiji Utsunomiya, Kiyohito Yoshihara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | wireless sensing / laser radar / depth camera / machine learning |
| Paper # | NS2020-99 |
| Date of Issue | 2020-12-10 (NS) |
| Conference Information | |
| Committee | NS / RCS |
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| Conference Date | 2020/12/17(2days) |
| 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. |
| Chair | Akihiro Nakao(Univ. of Tokyo) / Eiji Okamoto(Nagoya Inst. of Tech.) |
| Vice Chair | Tetsuya Oishi(NTT) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) |
| Secretary | Tetsuya Oishi(NTT) / Fumiaki Maehara(Chuo Univ.) / Toshihiko Nishimura(Kyushu Univ.) / Tomoya Tandai(NEC) |
| Assistant | Shinya Kawano(NTT) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Radio Communication Systems |
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| Language | JPN |
| 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 |
| 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.) |
| Date | 2020-12-18 |
| Paper # | NS2020-99 |
| Volume (vol) | vol.120 |
| Number (no) | NS-297 |
| Page | pp.pp.66-71(NS), |
| #Pages | 6 |
| Date of Issue | 2020-12-10 (NS) |