Object recognition by machine vision system of inspection line

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A86099931" target="_blank" >RIV/61989100:27240/17:86099931 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-47364-2_23" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-47364-2_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-47364-2_23" target="_blank" >10.1007/978-3-319-47364-2_23</a>

Result language
angličtina
Original language name
Object recognition by machine vision system of inspection line
Original language description
The paper deals with a machine vision for a recognition and identification of manufactured parts. The inspection line has been constructed. Stepper motors, direct current motors and electromagnetic coils have been used as actuators. Printed circuit boards have been designed and made for a power supplying and signal level conversion. A feedback is acquired by two–position switches. For the practical realization, various construction components have been used, for example buffers for objects prepared for the inspection and inspected objects, manipulation arms and manipulation platform. The main control unit is a compact programmable logical controller, which controls hardware parts during the inspection cycle. The image capturing has been done with a common web camera. Algorithms for the image processing has been programmed in MATLAB Simulink. Data between the control system and the image processing system are exchanged via a mutual communication protocol.
Czech name
—
Czech description
—

Project
<a href="/en/project/TE02000103" target="_blank" >TE02000103: Center for Intelligent Drives and Advanced Machine Control (CIDAM)</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Joint Conference SOCO'16, CISIS'16, ICEUTE'16: San Sebastián, Spain, October 19th-21st, 2016 : proceedings
ISBN
978-3-319-47363-5
ISSN
2194-5357
e-ISSN
neuvedeno
Number of pages
12
Pages from-to
235-246
Publisher name
Springer
Place of publication
Cham
Event location
San Sebastián
Event date
Oct 19, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000405330000023

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