Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Perspective of Creating a Low-Cost Medical Assistant Robot Based on the WafflePI4 Platform with a Palm Vein Pattern Scanner

Version 1 : Received: 26 March 2024 / Approved: 27 March 2024 / Online: 28 March 2024 (12:25:23 CET)

How to cite: Anufriiev, V.; Kravchuk, O.; Levchenko, Y.; Hlukhova, H.; Linnyk, E.; Glukhov, O. Perspective of Creating a Low-Cost Medical Assistant Robot Based on the WafflePI4 Platform with a Palm Vein Pattern Scanner. Preprints 2024, 2024031696. https://doi.org/10.20944/preprints202403.1696.v1 Anufriiev, V.; Kravchuk, O.; Levchenko, Y.; Hlukhova, H.; Linnyk, E.; Glukhov, O. Perspective of Creating a Low-Cost Medical Assistant Robot Based on the WafflePI4 Platform with a Palm Vein Pattern Scanner. Preprints 2024, 2024031696. https://doi.org/10.20944/preprints202403.1696.v1

Abstract

Military medical service is an important component of the Armed Forces of any country [1]. In wartime, healthcare performs critical functions of medical support for military operations, providing effective and qualified care to the wounded and sick. Consequently, it is imperative to equip military hospitals with state-of-the-art materials and technical resources commensurate with the predefined requirements. In this study, we examine a series of enhancements applied to the TurtleBot 3 Waffle Pi-based medical assistant robot, tailored for deployment in military hospital settings.

Keywords

robot; turtleBot; Raspberry Pi; biometrical scanner; Convolutional Neural Network

Subject

Engineering, Electrical and Electronic Engineering

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