2024
DOI: 10.2478/aei-2024-0011
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AI-Powered Obstacle Detection for Safer Human-Machine Collaboration

Maros Krupáš,
Mykyta Kot,
Erik Kajáti
et al.

Abstract: This article deals with ensuring and increasing the safety of mobile robotic systems in human-machine collaboration. The goal of the research was to design and implement an artificial intelligence application that recognizes obstacles, including humans, and increases safety. The resulting mobile Android application uses a MiDaS model to generate a depth map of the environment from the drone’s camera to approximate the distance from all obstacles to avoid the drone’s collision. Besides, this work introduced us … Show more

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