Point detection for grasping unknown objects

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F18%3A43913708" target="_blank" >RIV/62156489:43110/18:43913708 - isvavai.cz</a>
Výsledek na webu
<a href="http://pefnet.mendelu.cz/wcd/w-rek-pefnet/pefnet17_fin.pdf" target="_blank" >http://pefnet.mendelu.cz/wcd/w-rek-pefnet/pefnet17_fin.pdf</a>
DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Point detection for grasping unknown objects
Popis výsledku v původním jazyce
This contribution is focused on the design and implementation of the algorithm intended for point detection for grasping unknown objects. The Hough transform method was used for the implementation of this algorithm. A Basler acA1600-20uc industrial camera with a Computar M2514-MP2 lens was used for obtaining the input data. The programing language C# and EmguCV library were used for the implementation of algorithm. The correctness of the designed algorithm was verified using detection of the various objects.
Název v anglickém jazyce
Point detection for grasping unknown objects
Popis výsledku anglicky
This contribution is focused on the design and implementation of the algorithm intended for point detection for grasping unknown objects. The Hough transform method was used for the implementation of this algorithm. A Basler acA1600-20uc industrial camera with a Computar M2514-MP2 lens was used for obtaining the input data. The programing language C# and EmguCV library were used for the implementation of algorithm. The correctness of the designed algorithm was verified using detection of the various objects.

Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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