Stereovision Safety System for Identifying Workers’ Presence: Results of Tests

• Autorzy: Grabowski A. , Jankowski J. , Dźwiarek M. , Kosiński R. A.
• Języki publikacji: EN

Abstrakty

EN

This article presents the results of extensive tests of a stereovision safety system performed using real and artificial images. A vision based protective device (VBPD) analyses images from 2 cameras to calculate the position of a worker and moving parts of a machine (e.g., an industrial robot’s arm). Experiments show that the stereovision safety system works properly in real time even when subjected to rapid changes in illumination level. Experiments performed with a functional model of an industrial robot indicate that this safety system can be used to detect dangerous situations at workstations equipped with a robot, in human–robot cooperation. Computer-generated artificial images of a workplace simplify and accelerate testing procedures, and make it possible to compare the effectiveness of VBPDs and other protective devices at no additional cost.

Słowa kluczowe

EN

human-machine interaction; neural networks; safety control; vision-based protective devices

PL

interfejs człowiek-maszyna; kontrola bezpieczeństwa pracy; zabezpieczenia; interakcja człowiek-maszyna; sieci neuronowe

• Wydawca: Taylor & Francis
• Czasopismo: International Journal of Occupational Safety and Ergonomics
• Rocznik: 2014
• Tom: Vol. 20, No. 1
• Strony: 103--109
• Opis fizyczny: Bibliogr. 24 poz., rys., wykr.

Twórcy

autor

Grabowski A.

• Central Institute for Labour Protection – National Research Institute (CIOP-PIB), Poland

autor

Jankowski J.

• Central Institute for Labour Protection – National Research Institute (CIOP-PIB), Poland

autor

Dźwiarek M.

• Central Institute for Labour Protection – National Research Institute (CIOP-PIB), Poland

autor

Kosiński R. A.

• Central Institute for Labour Protection – National Research Institute (CIOP-PIB), Poland

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