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Algoritem strojnega vida za zaznavanje objektov v delovnem področju robota
ID Kovač, Jan (Author), ID Šimic, Marko (Mentor) More about this mentor... This link opens in a new window, ID Herakovič, Niko (Comentor)

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Abstract
Pri delu z roboti je večina nesreč posledica napačnega vedenja operaterja, ki vstopi v delovno področje robota. Da zmanjšamo vpliv človeškega faktorja smo v zaključni nalogi iskali možne koncepte strojnega vida, ki s pomočjo RGB kamere, ki je montirana na stropu, nadzirajo delovno področje robota in ob vstopu operaterja v delovno področje sprožijo varnostne funkcije. S pomočjo validacije posameznih konceptov smo izbrali najbolj ustreznega, ki je zanesljivo zaznal nevarnosti in zagotovil varnost operaterju. Koncept je enostavno implementirati v obstoječe sisteme.

Language:Slovenian
Keywords:strojni vid, zaznavanje, konvolucijske nevronske mreže, industrijski robot, python, varnost
Work type:Final paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[J. Kovač]
Year:2020
Number of pages:XIV, 33 f.
PID:20.500.12556/RUL-117732 This link opens in a new window
UDC:681.5:004.9:007.52(043.2)
COBISS.SI-ID:23956227 This link opens in a new window
Publication date in RUL:23.07.2020
Views:1658
Downloads:232
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Secondary language

Language:English
Title:Machine vision algorithm for object detection in robot's workspace
Abstract:
When working with robots, most accidents are due to the misbehavior of the operator entering the robot’s work area. In order to reduce the influence of the human factor, we researched/examined possible concepts of machine vision, which, with the help of an RGB camera mounted on the ceiling, monitors the robot's work area and triggers security functions when the operator enters the work area. Through the validation of individual concepts, we selected the most appropriate one, which reliably detected hazards and ensured safety for the operator. The concept is easy to implement into existing systems.

Keywords:machine vision, detection, convolutional neural networks, industrial robot, python, security

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