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Constellation-based robotic visual servoing method for fault diagnosis of used printed circuit board assemblies

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Názov: Constellation-based robotic visual servoing method for fault diagnosis of used printed circuit board assemblies
Autori: Bence Tipary, Gábor Erdős, Zsolt Kemény
Zdroj: CIRP Annals. 74:43-47
Informácie o vydavateľovi: Elsevier BV, 2025.
Rok vydania: 2025
Predmety: QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Popis: The mainstream of diagnostic approaches of printed circuit board assemblies is optimised for large-scale industrial production, and is less suited for repair and maintenance during later stages of the product life-cycle. Main challenges include sparse documentation, small batch sizes and high product diversity, to which existing solutions are too costly, bulky or parameter-sensitive for industrial use. The paper presents a novel approach using computer vision, visual servoing and digital twins for robotic positioning of a measuring probe head. Subject to patent application, the method has proven its feasibility and affordability in live industrial practice with 99.80% success rate.
Druh dokumentu: Article
Popis súboru: text
Jazyk: English
ISSN: 0007-8506
DOI: 10.1016/j.cirp.2025.04.080
Prístupová URL adresa: https://eprints.sztaki.hu/10955/
Rights: CC BY
Prístupové číslo: edsair.doi.dedup.....7cb49344b76c46ba60a61c3df4e4a2a2
Databáza: OpenAIRE
Popis
Abstrakt:The mainstream of diagnostic approaches of printed circuit board assemblies is optimised for large-scale industrial production, and is less suited for repair and maintenance during later stages of the product life-cycle. Main challenges include sparse documentation, small batch sizes and high product diversity, to which existing solutions are too costly, bulky or parameter-sensitive for industrial use. The paper presents a novel approach using computer vision, visual servoing and digital twins for robotic positioning of a measuring probe head. Subject to patent application, the method has proven its feasibility and affordability in live industrial practice with 99.80% success rate.
ISSN:00078506
DOI:10.1016/j.cirp.2025.04.080