Japan Geoscience Union Meeting 2019

Presentation information

[J] Poster

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

[M-GI37] Earth and planetary informatics with huge data management

Sun. May 26, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Ken T. Murata(National Institute of Information and Communications Technology), Rie Honda(Department of Science and Technology, System of Natual Science, Kochi University), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University)

[MGI37-P11] Programming Environment of Visual IoT Tools Working on Single-Board Computer (Raspberry Pi) (2)

*Takamichi Mizuhara1, Ken T. Murata2, Praphan Pavarangkoon2, Somnuk Phon-Amnuaisuk3, Kazunori Yamamoto2, Kazuya Muranaga4, Toshiki Aoki1 (1.CLEALINK TECHNOLOGY CO., LTD., 2.National Institute of Information and Communications Technology, 3.Universiti Teknologi Brunei, 4.Systems Engineering Consultants Co., LTD.)

The recent emergence of low-cost single board computers such as Raspberry Pi and Arduino, which are used as sensing devices with connectivity to Internet gateways and cloud services, has led to Internet of Things (IoT) architectures in the real world. Visual IoT is one of the classes of IoT that poses crucial end-to end challenges due to the need for sensing and processing of visual data. One of the significant roles of the visual IoT is information extraction from images by using image recognition techniques. In this paper, we present a programming environment of visual IoT on Raspberry Pi, and develop a couple of applications. The first one is an application for real-time information extraction and the second one is an augmented reality (AR)-oriented application. The performance of both applications is examined in outdoor fields using 4G LTE mobile networks to prove that our environment has a potential for many types of visual IoT devices.