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Relevant bibliographies by topics / Optics in industrial inspection

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Academic literature on the topic 'Optics in industrial inspection'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Optics in industrial inspection"

1

Trujillo, Miguel, José Martínez-de Dios, Carlos Martín, Antidio Viguria, and Aníbal Ollero. "Novel Aerial Manipulator for Accurate and Robust Industrial NDT Contact Inspection: A New Tool for the Oil and Gas Inspection Industry." Sensors 19, no. 6 (March 15, 2019): 1305. http://dx.doi.org/10.3390/s19061305.

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There is a strong demand in the oil and gas industry to develop alternatives to manual inspection. This paper presents AeroX, a novel aerial robotic manipulator that provides physical contact inspection with unprecedented capabilities. AeroX has a semi-autonomous operation, which provides interesting advantages in contact inspection. In the free-flight mode, the pilot guides the robot until performing contact with its end-effector on the surface to be inspected. During contact, AeroX is in its fully-autonomous global navigation satellite system (GNSS)-free contact–flight mode, in which the robot keeps its relative position w.r.t. the surface contact point using only its internal sensors. During autonomous flight, the inspector can move—with uninterrupted contact—the end-effector on the surface for accurately selecting the points where to perform A-scan measurements or continuous B-scan or C-scan inspections. AeroX adopts an eight-tilted rotor configuration and a simple and efficient design, which provides high stability, maneuverability, and robustness to rotor failure. It can perform contact inspection on surfaces at any orientation, including vertical, inclined, horizontal-top or horizontal-bottom, and its operation can be easily integrated into current maintenance operations in many industries. It has been extensively validated in outdoor experiments including a refinery and has been awarded the EU Innovation Radar Prize 2017.

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Sorebo, J. H., and R. D. Lorenz. "Web Inspection Using Gradient-Indexed Optics." IEEE Transactions on Industry Applications 41, no. 6 (November 2005): 1476–82. http://dx.doi.org/10.1109/tia.2005.858275.

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Cielo, P., and G. Vaudreuil. "Optical inspection of industrial materials by unidimensional Fourier transform." Applied Optics 27, no. 22 (November 15, 1988): 4645. http://dx.doi.org/10.1364/ao.27.004645.

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Casasent, David, and Jeffrey Richards. "Industrial use of a real-time optical inspection system." Applied Optics 27, no. 22 (November 15, 1988): 4653. http://dx.doi.org/10.1364/ao.27.004653.

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Cielo, Paolo G. "Optical sensors for on-line inspection of industrial materials." Optical Engineering 32, no. 9 (1993): 2130. http://dx.doi.org/10.1117/12.143909.

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Wu, Zai-Gen, Chao-Yi Lin, Hao-Wei Chang, and Po Ting Lin. "Inline Inspection with an Industrial Robot (IIIR) for Mass-Customization Production Line." Sensors 20, no. 11 (May 26, 2020): 3008. http://dx.doi.org/10.3390/s20113008.

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Robots are essential for the rapid development of Industry 4.0. In order to truly achieve autonomous robot control in customizable production lines, robots need to be accurate enough and capable of recognizing the geometry and orientation of an arbitrarily shaped object. This paper presents a method of inline inspection with an industrial robot (IIIR) for mass-customization production lines. A 3D scanner was used to capture the geometry and orientation of the object to be inspected. As the object entered the working range of the robot, the end effector moved along with the object and the camera installed at the end effector performed the requested optical inspections. The detailed information about the developed methodology was introduced in this paper. The experiments showed there was a relative movement between the moving object and the following camera and the speed was around 0.34 mm per second (worst case was around 0.94 mm per second). For a camera of 60 frames per second, the relative moving speed between the object and the camera was around 6 micron (around 16 micron for the worst case), which was stable enough for most industrial production inspections.

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Bedaka, Amit Kumar, Alaa M. Mahmoud, Shao-Chun Lee, and Chyi-Yeu Lin. "Autonomous Robot-Guided Inspection System Based on Offline Programming and RGB-D Model." Sensors 18, no. 11 (November 16, 2018): 4008. http://dx.doi.org/10.3390/s18114008.

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Automatic optical inspection (AOI) is a control process for precisely evaluating the completeness and quality of manufactured products with the help of visual information. Automatic optical inspection systems include cameras, light sources, and objects; AOI requires expert operators and time-consuming setup processes. In this study, a novel autonomous industrial robot-guided inspection system was hypothesized and developed to expedite and ease inspection process development. The developed platform is an intuitive and interactive system that does not require a physical object to test or an industrial robot; this allows nonexpert operators to perform object inspection planning by only using scanned data. The proposed system comprises an offline programming (OLP) platform and three-dimensional/two-dimensional (3D/2D) vision module. A robot program generated from the OLP platform is mapped to an industrial manipulator to scan a 3D point-cloud model of an object by using a laser triangulation sensor. After a reconstructed 3D model is aligned with a computer-aided design model on a common coordinate system, the OLP platform allows users to efficiently fine-tune the required inspection positions on the basis of the rendered images. The arranged inspection positions can be directed to an industrial manipulator on a production line to capture real images by using the corresponding 2D camera/lens setup for AOI tasks. This innovative system can be implemented in smart factories, which are easily manageable from multiple locations. Workers can save scanned data when new inspection positions are included based on cloud data. The present system provides a new direction to cloud-based manufacturing industries and maximizes the flexibility and efficiency of the AOI setup process to increase productivity.

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Ellrich, F., M. Bauer, N. Schreiner, A. Keil, T. Pfeiffer, J. Klier, S. Weber, J. Jonuscheit, F. Friederich, and D. Molter. "Terahertz Quality Inspection for Automotive and Aviation Industries." Journal of Infrared, Millimeter, and Terahertz Waves 41, no. 4 (November 26, 2019): 470–89. http://dx.doi.org/10.1007/s10762-019-00639-4.

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AbstractNondestructive quality inspection with terahertz waves has become an emerging technology, especially in the automotive and aviation industries. Depending on the specific application, different terahertz systems—either fully electronic or based on optical laser pulses—cover the terahertz frequency region from 0.1 THz up to nearly 10 THz and provide high-speed volume inspections on the one hand and high-resolution thickness determination on the other hand. In this paper, we present different industrial applications, which we have addressed with our terahertz systems within the last couple of years. First, we show three-dimensional imaging of glass fiber–reinforced composites and foam structures, and demonstrate thickness determination of multilayer plastic tube walls. Then, we present the characterization of known and unknown multilayer systems down to some microns and the possibility of measuring the thickness of wet paints. The challenges of system reliability in industrial environments, e.g., under the impact of vibrations, and effective solutions are discussed. This paper gives an overview of state-of-the-art terahertz technology for industrial quality inspection. The presented principles are not limited to the automotive and aviation industries but can also be adapted to many other industrial fields.

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Cielo, P., K. Cole, and B. D. Favis. "Optical Inspection for Industrial Quality and Process Control." IFAC Proceedings Volumes 20, no. 13 (October 1987): 161–70. http://dx.doi.org/10.1016/s1474-6670(17)55581-0.

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Chugui, Yuri V., Alexander G. Verkhoglyad, Petr S. Zavyalov, Evgeny V. Sysoev, Rodion V. Kulikov, Ignat A. Vykhristyuk, Marina A. Zavyalova, Alexander G. Poleshchuk, and Victor P. Korolkov. "Optical Measuring and Laser Technologies for Scientific and Industrial Applications." International Journal of Automation Technology 9, no. 5 (September 5, 2015): 515–24. http://dx.doi.org/10.20965/ijat.2015.p0515.

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Modern industry and science require novel 3D optical measuring systems and laser technologies with micrometer/nanometer resolutions. To solve actual problems, we have developed a family of these optical measuring systems and technologies. An optical system for the 3D inspection of ceramic parts is described. A new approach to the formation of 3D laser templates using diffractive optics is presented for large objects, such as ~30 m antennas. The performance specifications of a 3D super resolution, optical low-coherent micro/nano profilometer are given. Using a perfectly smooth atomic mirror as a reference object, a breakthrough depth measurement with resolution of 20 picometers is achieved. The newest results in the field of laser technologies for the high-precision synthesis of microstructures by an updated laser circular image generator using the semiconductor laser is presented. The measuring systems and the laser image generator have been tested by customers and are used in different branches of industry and science.

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Dissertations / Theses on the topic "Optics in industrial inspection"

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Sharma, Harish Chander. "Recognition and representation of contours in the measurement of spheric and aspheric surfaces." Thesis, De Montfort University, 1986. http://hdl.handle.net/2086/4120.

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Wieler, Matthias [Verfasser], and Fred A. [Akademischer Betreuer] Hamprecht. "Multiple Instance Learning with Random Forests and Applications in Industrial Optical Inspection / Matthias Wieler ; Betreuer: Fred A. Hamprecht." Heidelberg : Universitätsbibliothek Heidelberg, 2014. http://d-nb.info/1180032144/34.

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Search, David John. "Inspection of periodic structures using coherent optics." Thesis, Liverpool John Moores University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242378.

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Hardman, Gavin. "Bayesian inspection planning for large industrial systems." Thesis, Durham University, 2007. http://etheses.dur.ac.uk/1998/.

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The implementation of consistent and repeatable methods for inspection planning is a problem faced by a wide range of industries. The theory of Bayesian design problems provides a well established method for the treatment of inspection planning problems, but is often difficult to implement for large systems due to its associated computational burden. We develop a tractable Bayesian method for inspection planning. The use of Bayes linear methods in the place of traditional Bayesian techniques allows us to assess properties of proposed inspection designs with greater computational efficiency. This improvement in efficiency allows a greater range of designs to be assessed and the design space to be searched more effectively. We propose a utility based criterion for the identification of designs that offer improved prediction for future system properties. Designs with good typical performance are identified through utility maximisation. The viability of the method is demonstrated by application to an example based on data from a real industrial system.

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Fountain, A. M. "Real-time image processing for industrial inspection." Thesis, University of Southampton, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356523.

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Field, Matthew. "Machine vision system developments for industrial inspection applications." Thesis, University of Central Lancashire, 1997. http://clok.uclan.ac.uk/20334/.

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This thesis describes research in the area of automated industrial inspection using machine vision systems. It is anticipated that the algorithms described will contribute to the design of a machine vision system for the automatic surface inspection of cylindrical pellets. Firstly, the acquisition and segmentation of pellet tray images using area capture is described. Individual pellets are segmented from a pellet tray image by a novel system using the Radon transform coupled with data clustering. Subsequent to the segmentation, the linking of four pellet views depicting the entire circumferential area of the pellet is described along with a simple technique to compensate for intensity variations brought about by imaging the three-dimensional cylindrical surface of the pellet. The image processing techniques of filtering, edge detection, thresholding and morphology are used in the segmentation of grey level pellet defect images. The grey level pellet images are low-pass filtered and binary images formed using edge detection with thresholding. Binary morphology operators are then used in conjunction with a termination condition based on the number of objects in the image to ensure homogenous defect representations. The problem of overlapping defects is addressed, resulting in a second algorithm using the Radon transform coupled with data clustering. Prior to classification salient features are extracted from a set of synthetic binary defect images to form feature vectors. The novel idea of image object classification using 100% fuzzy inference is described, and results are shown to be superior to results obtained by feature space classifiers. The sub-classification of crack defects is carried out using a heuristic classifier, and the parameterisation of pellet defects is described.

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White, Richard Mark. "Automated industrial measurement and inspection using image processing." Thesis, University of Liverpool, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317271.

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Leung, Tin Wah William. "High precision camera-based colour inspection of industrial products." Thesis, University of Huddersfield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338605.

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Wilson, Duncan John. "Classification of defects using uncertainty in industrial web inspection." Thesis, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286894.

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Souza, Iuri Santos. "Understanding software product lines inspection in an industrial setting." Universidade Federal de Pernambuco, 2011. https://repositorio.ufpe.br/handle/123456789/2623.

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Made available in DSpace on 2014-06-12T15:59:44Z (GMT). No. of bitstreams: 2 arquivo5530_1.pdf: 3005185 bytes, checksum: 2a022c6abeac87f561b30607dd251420 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2011
Faculdade de Amparo à Ciência e Tecnologia do Estado de Pernambuco
Reuso de software é um aspecto fundamental para as organizações de software interessadas em melhorar os custos, a qualidade e reduzir o tempo de entrega dos produtos. Engenharia de Linhas de Produtos de software (SPL) é um conceito crescente em engenharia de software e foi desenvolvido objetivando uma maneira sistemática e prescrita para alcançar reuso. SPL é uma estratégia de reuso pró-ativa, que explora semelhanças e gerencia variabilidades dentro de um conjunto de produtos. O inerente reuso de artefatos de software em combinação com o desenvolvimento usualmente iterativo, traz um conjunto de melhorias para o desenvolvimento de software no contexto de SPL. Além disso, o conjunto de benefícios de SPL não acontecem sem esforços, tem alguns desafios e requer abordagens de garantia de qualidade, como testes e inspeção. Se esses pontos não são considerados, o sucesso da linha pode não ser alcançado, contrariando os enormes benefícios econômicos. Embora alguns autores discutam a importância de inspeções de software em todo o desenvolvimento de engenharia de software, na prática, poucos estudos discutem a relação entre inspeção e artefatos das fases iniciais de SPL. O cenário de Qualidade em SPL tem uma carência substancial da literatura em discutir as técnicas de garantia de qualidade. Neste cenário, esta dissertação apresenta um conjunto de evidências empíricas sobre Inspeção em Linhas de Produtos de Software fornecidas por um estudo empírico embutido, realizado em um ambiente industrial com objetivo de compreender e caracterizar como a atividade de inspeção deve ser tratada nas fases iniciais de SPL (escopo e engenharia de requisitos), especialmente para os artefatos de especificação de features, requisitos funcionais e casos de uso. Além disso, com base nos resultados coletados no estudo empírico alguns modelos de predição foram construídos a fim de estimar o número de não-conformidades para os artefatos investigados neste trabalho

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Books on the topic "Optics in industrial inspection"

1

Optical techniques for industrial inspection. Boston: Academic Press, 1988.

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Harding, Kevin G., Peisen S. Huang, and Tōru Yoshizawa. Optical metrology and inspection for industrial applications: 18-20 October 2010. Edited by SPIE (Society), Zhongguo guang xue xue hui, Beijing gong ye xue yuan, Zhongguo ke xue ji shu xie hui, Guo jia zi ran ke xue ji jin wei yuan hui (China), and China. Guo jia ke xue ji shu bu. Bellingham, Wash: SPIE, 2010.

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Don, Braggins, European Physical Society, European Federation for Applied Optics., Society of Photo-optical Instrumentation Engineers., and Association nationale de la recherche technique., eds. Industrial inspection II: 12-13 March 1990, the Hague, the Netherlands. Bellingham, Wash., USA: SPIE--the International Society for Optical Engineering, 1990.

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Lehmann, Peter H. Optical measurement systems for industrial inspection VI: 15-18 June 2009, Munich, Germany. Edited by SPIE Europe, European Optical Society, Wissenschaftliche Gesellschaft Lasertechnik, and SPIE (Society). Bellingham, Wash: SPIE, 2009.

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Osten, Wolfgang, Peter H. Lehmann, and Kay Gastinger. Optical measurement systems for industrial inspection VII: 23-26 May 2011, Munich, Germany. Bellingham, Wash: SPIE, 2011.

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R, Martin R., ed. Computer vision, models, and inspection. Singapore: World Scientific, 1992.

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Smith, M. L. Surface inspection techniques: Using the integration of innovative machine vision and graphical modeling techniques. London: Professional Engineering, 2001.

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name, No. Smart structures and materials 2003: Industrial and commercial applications of smart structures technologies : 4-6 March 2003, San Diego, California, USA. Bellingham, Washington: SPIE, 2003.

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Vision '90 (1990 Detroit, Mich.). Vision '90, November 12-15, 1990, Detroit, Michigan. Dearborn, Mich: Society of Manufacturing Engineers, 1990.

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Vision, '89 (1989 Chicago Ill ). Vision '89, April 24-27, 1989, Chicago, Illinois. Dearborn, Mich. (1 SME Dr., Dearborn 48121): Society of Manufacturing Engineers, 1989.

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Book chapters on the topic "Optics in industrial inspection"

1

Loughlin, C. "Optics." In Sensors for Industrial Inspection, 249–78. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2730-1_14.

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Stecher, M., C. Jördens, N. Krumbholz, C. Jansen, M. Scheller, R. Wilk, O. Peters, B. Scherger, B. Ewers, and M. Koch. "Towards Industrial Inspection with THz Systems." In Springer Series in Optical Sciences, 311–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17659-8_14.

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Yin, Yongkai, Xiang Peng, Dong He, and Meng Wang. "Efficient Optical Metrology for Industrial Inspection." In Fringe 2013, 511–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-36359-7_90.

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Katafuchi, Norifumi, Mutsuo Sano, Shuichi Ohara, and Masashi Okudaira. "A method of industrial parts surface inspection based on an optics model." In Computer Vision — ACCV'98, 200–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63930-6_122.

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Deng, Yiming, Yuhua Cheng, Liang Xuan, and Zhiwei Zeng. "Principles of Magneto-optic Imaging and Its Applications." In Integrated Imaging and Vision Techniques for Industrial Inspection, 483–536. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6741-9_15.

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Larue, Jean-Francois, Daniel Brown, and Marc Viala. "How Optical CMMs and 3D Scanning Will Revolutionize the 3D Metrology World." In Integrated Imaging and Vision Techniques for Industrial Inspection, 141–76. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6741-9_5.

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Miller, Richard K. "Robotic Inspection." In Industrial Robot Handbook, 301–5. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6608-9_29.

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Nof, Shimon Y., Wilbert E. Wilhelm, and Hans-Jürgen Warnecke. "Quality and inspection in assembly." In Industrial Assembly, 406–58. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6393-8_9.

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Demant, Christian, Bernd Streicher-Abel, and Peter Waszkewitz. "Outlook: Visual Inspection Projects." In Industrial Image Processing, 327–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58550-0_11.

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Loughlin, C. "Fundamentals of Sensor Materials." In Sensors for Industrial Inspection, 1–12. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2730-1_1.

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Conference papers on the topic "Optics in industrial inspection"

1

Tomlinson, Simon J. "Flexible 3D vision system for industrial inspection." In Optics for Productivity in Manufacturing, edited by Rolf-Juergen Ahlers, Donald W. Braggins, and Gary W. Kamerman. SPIE, 1994. http://dx.doi.org/10.1117/12.196076.

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Jueptner, Werner. "Industrial optical inspection." In Critical Review Collection. SPIE, 1993. http://dx.doi.org/10.1117/12.170178.

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Mishra, Vinod, Dali Ramu Burada, Kamal K. Pant, Vinod Karar, Sunil Jha, and Gufran Sayeed Khan. "Freeform optics alignment strategy and its effect on development of precision freeform optics." In Optical Measurement Systems for Industrial Inspection XI, edited by Peter Lehmann, Wolfgang Osten, and Armando Albertazzi Gonçalves. SPIE, 2019. http://dx.doi.org/10.1117/12.2526017.

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Konov, Vitali I., V. V. Kononenko, Sergej M. Pimenov, Alexander M. Prokhorov, Vladimir S. Pavelyev, and Victor A. Soifer. "CVD diamond transmissive diffractive optics for CO2 lasers." In Industrial Lasers and Inspection (EUROPTO Series), edited by Vadim P. Veiko and Tamas Szoerenyi. SPIE, 1999. http://dx.doi.org/10.1117/12.364213.

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Bermudez, Carlos, Ferran Laguarta, Cristina Cadevall, Aitor Matilla, Sergi Ibañez, and Roger Artigas. "Novel Stent Optical Inspection System." In Applied Industrial Optics: Spectroscopy, Imaging and Metrology. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/aio.2016.aith2b.3.

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Bolbasova, Lidia A., Alexey N. Gritsuta, Vitaly V. Lavrinov, Vladimir P. Lukin, Anton A. Selin, and Egor L. Soin. "Adaptive optics test bench for predictive wavefront correction." In Optical Measurement Systems for Industrial Inspection XI, edited by Peter Lehmann, Wolfgang Osten, and Armando Albertazzi Gonçalves. SPIE, 2019. http://dx.doi.org/10.1117/12.2525367.

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Griebner, Uwe, and Ruediger Grunwald. "Generation of thin film micro-optics by crossed deposition through wire-grid masks." In Industrial Lasers and Inspection (EUROPTO Series), edited by Christophe Gorecki. SPIE, 1999. http://dx.doi.org/10.1117/12.364294.

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FARINA, J. D., R. A. RUBINO, and P. K. CHEO. "Industrial far-infrared lasers for inspection and quality control." In Conference on Lasers and Electro-Optics. Washington, D.C.: OSA, 1985. http://dx.doi.org/10.1364/cleo.1985.fj2.

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Meriaudeau, F., F. Truchetet, O. Laligant, and P. Bourgeat. "Gabor filters in industrial inspection: a review. Application to semiconductor industry." In Optics East 2005, edited by Frederic Truchetet and Olivier Laligant. SPIE, 2005. http://dx.doi.org/10.1117/12.637675.

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Blalock, Todd F., Brittany D. Cox, and Brian Myer. "Measurement of mid-spatial frequency errors on freeform optics using deflectometry." In Optical Measurement Systems for Industrial Inspection XI, edited by Peter Lehmann, Wolfgang Osten, and Armando Albertazzi Gonçalves. SPIE, 2019. http://dx.doi.org/10.1117/12.2526162.

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Reports on the topic "Optics in industrial inspection"

1

Hackel, B. Behavioral Model of High Performance Camera for NIF Optics Inspection. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/917896.

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Schmitt, R. L., R. J. Williams, and J. D. Matthews. High-frequency scannerless imaging laser radar for industrial inspection and measurement applications. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/419074.

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Petrie, Russ. Industrial Technology Modernization Program. Category 2 Project Laser Solder/Inspection. Phase 2. Fort Belvoir, VA: Defense Technical Information Center, March 1985. http://dx.doi.org/10.21236/ada209203.

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GENERAL DYNAMICS FORT WORTH TX FORT WORTH DIV. Industrial Technology Modernization. Phase 2. Project 8, PWB (Printed Wire Board) Inspection. Revision A. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada209541.

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