Algoritem strojnega vida za zaznavanje objektov v delovnem področju robota

zaključna naloga Razvojno raziskovalnega programa I. stopnje Strojništvo

Jan Kovač (Author), Marko Šimic (Mentor), Niko Herakovič (Co-mentor)

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.

Keywords

diplomske naloge;strojni vid;zaznavanje;konvolucijske nevronske mreže;industrijski robot;python;varnost;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FS - Faculty of Mechanical Engineering
Publisher:	[J. Kovač]
UDC:	681.5:004.9:007.52(043.2)
COBISS:	23956227
Views:	837
Downloads:	207
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Machine vision algorithm for object detection in robot's workspace
Secondary 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.
Secondary keywords:	thesis;machine vision;detection;convolutional neural networks;industrial robot;security;
Type (COBISS):	Final paper
Study programme:	0
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za strojništvo
Pages:	XIV, 33 f.
ID:	11913509