Comparative Analysis of Telepresence Robots’ Video Performance: Evaluating Camera Capabilities for Remote Teaching and Learning

Aleksei Talisainen; Janika Leoste; Sirje Virkus

doi:10.20944/preprints202311.1721.v1

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preprints.org > computer science and mathematics > robotics > doi: 10.20944/preprints202311.1721.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Comparative Analysis of Telepresence Robots’ Video Performance: Evaluating Camera Capabilities for Remote Teaching and Learning

Aleksei Talisainen

Janika Leoste

^* ,

Sirje Virkus

Version 1 : Received: 27 November 2023 / Approved: 27 November 2023 / Online: 28 November 2023 (08:02:36 CET)

A peer-reviewed article of this Preprint also exists.

Talisainen, A.; Leoste, J.; Virkus, S. Comparative Analysis of Telepresence Robots’ Video Performance: Evaluating Camera Capabilities for Remote Teaching and Learning. Appl. Sci. 2024, 14, 233. Talisainen, A.; Leoste, J.; Virkus, S. Comparative Analysis of Telepresence Robots’ Video Performance: Evaluating Camera Capabilities for Remote Teaching and Learning. Appl. Sci. 2024, 14, 233.

Abstract

The COVID-19 outbreak demonstrated the viability of various remote working solutions, telepresence robots (TPRs) being one of them. High-quality video transmission is one of the cornerstones of using such solutions, as most of the information about the environment is acquired through vision. This study aims to compare the camera capabilities of four models of popular telepresence robots using compact reduced LogMAR and Snellen optometry charts as well as text displayed on the projector screen. The symbols from the images are extracted using OCR (Optical Character Recognition) software and the results of the recognition are compared with the symbols on the charts. Double 3 TPR provides the best quality images of optometric charts, but the OCR results of measurements of the image on the projector do not show the clear advantage of one single model over the others. The results demonstrated by Temi 2 and Double 3 TPRs are generally better than the others, suggesting that these TPRs are more feasible to be used in teaching and learning scenarios.

Keywords

Telepresence robot; telepresence; robotic telepresence; vision; vision acuity; education; optometry.

Subject

Computer Science and Mathematics, Robotics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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