Vision based, statistical learning system for fault recognition in industrial assembly environment

Viharos, Zsolt János and Chetverikov, D and Hary, A and Saghegyi, R and Barta, A (2016) Vision based, statistical learning system for fault recognition in industrial assembly environment. In: 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016. IEEE, Piscataway, pp. 1-6. ISBN 9781509013142 10.1109/ETFA.2016.7733730

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Item Type: Book Section
Uncontrolled Keywords: PATTERN RECOGNITION SYSTEMS; Statistical learning; Number of false alarms; Model based vision; Mobile vision systems; Industrial environments; Industrial assemblies; Background separation; AUTOMATIC DETECTION; Object Detection; Learning systems; Fault detection; Factory automation; vision for industrial assemblies; PATTERN RECOGNITION; model-based vision; learning system; image analysis; Computer vision
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Research Laboratory on Engineering & Management Intelligence
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 16 Jan 2017 07:37
Last Modified: 16 Jan 2017 07:37
URI: http://eprints.sztaki.hu/id/eprint/8919

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