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Automatic Inspection Planning for Optimizing the Surface Coverage in Industrial Inspection

Mohammadikaji, Mahsa

Abstract (englisch):
Optical product inspection plays an important role in today’s industrial manufacturing. Therefore, design of optimized solutions corresponding to the industrial requirements are essential for efficient product quality assurance. To configure an inspection setup one requires to determine the position and orientation of the cameras and illuminations as well as the optical configurations. This problem is commonly known as inspection planning. Today’s optical inspection setups are mostly being designed based on trial and error requiring a lot of engineering experience and experimental work. As the design space is high dimensional, the empirical designs typically lead to suboptimal solutions and compromise between contrary requirements. In today’s industry we are missing a generic automatic method to translate the inspection requirements into optimized inspection solutions. In this report we propose an optimization framework to automatically propose optimized setup solutions, by minimizing the number of acquisitions which fulfil the inspection requirements. As an example, we consider maximizing the surface coverage for the inspection of a cylinder head in a laser triangulation setup. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000085830
Veröffentlicht am 28.09.2018
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2018
Sprache Englisch
Identifikator ISBN: 978-3-7315-0779-6
ISSN: 1863-6489
KITopen-ID: 1000085830
Erschienen in Proceedings of the 2017 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer
Verlag KIT Scientific Publishing
Seiten 1-14
Serie Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ; 34
Bemerkung zur Veröffentlichung Technical Report IES-2017-01
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