Advancing Brick Detection from Lab to Industry: A Machine Vision Approach for Robotic Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F24%3A39922177" target="_blank" >RIV/00216275:25530/24:39922177 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-75010-6_9" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-75010-6_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-75010-6_9" target="_blank" >10.1007/978-3-031-75010-6_9</a>
Alternative languages
Result language
angličtina
Original language name
Advancing Brick Detection from Lab to Industry: A Machine Vision Approach for Robotic Applications
Original language description
This paper focuses on the application of a computer vision system for the detection of interlacing bricks within a robotic handling system, highlighting the challenges and solutions related to transitioning these systems from controlled laboratory environments to dynamic industrial manufacturing conditions. By addressing practical problems encountered in industrial settings, we emphasize the reliability issues of image-based object detection systems when integrated into automated robotic manipulation processes. The study includes the development and testing of various modified U-Net architectures for brick detection and evaluates their performance in both laboratory and industrial environments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
19th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2024
ISBN
978-3-031-75009-0
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
12
Pages from-to
82-93
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Salamanca
Event date
Oct 9, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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