An Easy Snowpack Depth Evaluation Using Smartphone, Bluetooth Device, and Augmented Reality Marker of Open Computer Vision Package

Minoru Ishiguro (), Yotsumi Yoshii, Toshimasa Chaki and Keigo Kasaya
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Minoru Ishiguro: National Institute of Technology, Toyama College, Hongo Campus, Toyama 939-8045, Japan
Yotsumi Yoshii: National Institute of Technology, Toyama College, Imizu Campus, Toyama 933-0235, Japan
Toshimasa Chaki: National Institute of Technology, Toyama College, Hongo Campus, Toyama 939-8045, Japan
Keigo Kasaya: National Institute of Technology, Toyama College, Hongo Campus, Toyama 939-8045, Japan

Sustainability, 2023, vol. 15, issue 11, 1-18

Abstract: An easy method to evaluate a remote place’s snowpack depth has been discussed for helping later-stage elderly persons’ life. The method of using a smartphone camera and an augmented reality marker (AR marker) has been investigated. The general smartphone with a high image resolution camera was used to observe snowpack depth in remote places and remote control the robot via Bluetooth device. And image processing using artificially integrated technology (AI technology) was adapted for detecting the AR markers and for evaluating the snowpack depth.

Keywords: population decrease and aging; snowfall damage; remote sensing technology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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