Japan Geoscience Union Meeting 2021

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[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI34] Earth and planetary informatics with huge data management

Thu. Jun 3, 2021 9:00 AM - 10:30 AM Ch.03 (Zoom Room 03)

convener:Ken T. Murata(National Institute of Information and Communications Technology), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Rie Honda(Department of Science and Technology, System of Natual Science, Kochi University), Keiichiro Fukazawa(Academic Center for Computing and Media Studies, Kyoto University), Chairperson:Keiichiro Fukazawa(Academic Center for Computing and Media Studies, Kyoto University), Ken T. Murata(National Institute of Information and Communications Technology)

9:15 AM - 9:30 AM

[MGI34-02] Environment Monitoring Using a Technology of Visual Internet of Things

*Tsutomu Nagatsuma1, Ken T. Murata1, Junji Tokairin1, Kazunori Yamamoto1, Yuki MURAKAMI1, Takamichi Mizuhara2 (1.National Institute of Information and Communications Technology, 2.CLEALINK TECHNOLOGY Co. Ltd.)

Keywords:Visual IoT, Environment Monitorng, Advanced Image Analysis Technology

Visual Internet of Things (Visual IoT) is a technology which realizes high quality and intelligent visual data transfer via every IP network including mobile network using low-cost and programable visual data transfer system. High-performance video transmission protocol (HpVT) which was developed by CLEALINK TECHNOLOGY Co., Ltd. is a foundation of visual IoT measurement and data transfer system (visual IoT system) developed by NICT. To monitor the current traffic condition on route 398 along Mangoku-ura, we are collecting visual and meteorological data by a visual IoT system which was installed at clean center in Onagawa since Dec. 2020 under the cooperation with Onagawa town office. The main objectives of our visual IoT system in Onagawa is to monitor the traffic condition on route 398 along Mangoku-ura, and to estimate number of vehicles and its velocities using image analysis technology for quantitative understanding of traffic condition, and to study the quantitative relationship between traffic and weather condition. In addition, a PTZ camera in our system is capable to measure any image with any direction. We can extract and analyze many kinds of information, such as conditions of ships in the bay and the condition of snow falling by advanced image analysis technology. We will report current efforts and future perspectives in our activity.