Über lernende optische Inspektion am Beispiel der Schüttgutsortierung
Automated visual inspection is an integral part in industrial manufacturing processes, but development and setup of such systems is very costly. Machine learning significantly reduces the effort of and speeds up both tasks. This work develops several machine learning methods suitable for automated v...
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| Format: | Book Chapter |
| Published: |
KIT Scientific Publishing
2018
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 01593naaaa2200325uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_61453 | ||
| 005 | 20210212 | ||
| 020 | |a KSP/1000085620 | ||
| 020 | |a 9783731508427 | ||
| 024 | 7 | |a 10.5445/KSP/1000085620 |c doi | |
| 041 | 0 | |a German | |
| 042 | |a dc | ||
| 100 | 1 | |a Richter, Matthias |4 auth | |
| 245 | 1 | 0 | |a Über lernende optische Inspektion am Beispiel der Schüttgutsortierung |
| 260 | |b KIT Scientific Publishing |c 2018 | ||
| 300 | |a 1 electronic resource (XVI, 283 p. p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Automated visual inspection is an integral part in industrial manufacturing processes, but development and setup of such systems is very costly. Machine learning significantly reduces the effort of and speeds up both tasks. This work develops several machine learning methods suitable for automated visual inspection. The methods augment each other and can be used for a wide range of products. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a German | ||
| 653 | |a Mustererkennung | ||
| 653 | |a Schüttgutsortierung | ||
| 653 | |a visual inspection | ||
| 653 | |a optische Inspektion | ||
| 653 | |a maschinelles Lernen | ||
| 653 | |a Pattern recognition | ||
| 653 | |a machine learning | ||
| 653 | |a bulk material soriting | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731508427 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/61453 |7 0 |z DOAB: description of the publication |