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
|
Text
Viharos_1_3160156_ny.pdf Download (634kB) | Preview |
| 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: | 21 Jul 2019 14:11 |
| URI: | https://eprints.sztaki.hu/id/eprint/8919 |
 |
Update Item |
