Mr. Thomas Berndorfer Profile

Thomas Berndorfer

at Technische Univ Wien

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Publications (7)

Proceedings Article | 18 October 2002 Paper

Advantage of using region of interests in automated part sorting with line-scan cameras in real time

Alexander Brenner, Hartwig Plach, Thomas Berndorfer, Walter van Dyck

Proceedings Volume 4902, (2002) https://doi.org/10.1117/12.467618

KEYWORDS: Optoelectronics, Inspection, Optoelectronic devices, Binary data, Cameras, Line scan image sensors, Image classification, Light sources, Image acquisition, Feature extraction

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A general problem in automation is the correct supply of assembly parts to assembly units. At the same time it is of decisive importance that the stable orientation as well as eventual bad quality characteristics of the assembly parts can be recognized to prevent a faulty assembly, a standstill of machine, or, in the worst case, a destruction of the assembly unit. In practice, among mechanical devices, optoelectronic inspectautomates are used more and more to solve this problem of correct sorting of assembly parts. These optoelectronic devices are checking the stable orientation and corresponding desired quality characteristics of assembly parts touch-less and automated. For solving this task it is necessary to calculate some features of the assembly part that has to be checked in the first step. The second step is to use these calculated features for a safe and stable classification of an assembly part. The calculation of the necessary features as well as the classification have to be realized in real-time. The amount of time that has to be kept, typically ranges from 5ms to 200ms depending on the assembly part that has to be checked and depending on the configuration of the optoelectronic inspectautomate. For that purpose features are calculated for a realized classification with which it is possible to check the stable orientation and corresponding desired quality characteristics for a multitude of assembly parts. But it is not possible to realize a safe and stable classification with these features, where the several stable orientations and with it the corresponding desired quality characteristics can only be classified because of small details in the acquired images of the assembly part to be checked. In the cases of application where these described features cannot be used for a safe and stable classification it is necessary to introduce an additional feature with which it is possible to fulfill these applications with optoelectronic inspectautomates, because of its special characteristics. THerefore it is possible to increase the field of applications for such devices. This paper will introduce the feature Region of Interest which gives the possibility of using small details of an assembly part for a safe and stable classification of its stable orientation and quality characteristics. Additionally, this paper will describe the general implementation of the featuer Region of Interest for an optoelectronic inspectautomate.

Proceedings Article | 18 October 2002 Paper

Survey of multivariate calibration methods for pattern classification

Hartwig Plach, Christian Eitzinger, Thomas Berndorfer, Walter van Dyck

Proceedings Volume 4902, (2002) https://doi.org/10.1117/12.467254

KEYWORDS: Image classification, Calibration, Data modeling, Principal component analysis, Iris recognition, Optimization (mathematics), Systems modeling, Image processing, Cancer, Radar

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Proceedings Article | 5 October 2001 Paper

Refinding objects using model-based knowledge

Markus Vincze, W. Frhwirth, Thomas Berndorfer, Dietmar Legenstein

Proceedings Volume 4572, (2001) https://doi.org/10.1117/12.444206

KEYWORDS: Light sources and illumination, Image classification, Reflectivity, Sensors, Model-based design, Machine vision, Computer vision technology, Cameras, Visual process modeling, Data modeling

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Proceedings Article | 2 February 2001 Paper

Multivariate approach to obtain real-time behavior of image processing applications

Thomas Berndorfer, Christian Eitzinger, Alexander Brenner, Walter van Dyck

Proceedings Volume 4188, (2001) https://doi.org/10.1117/12.417160

KEYWORDS: Calibration, Inspection, Digital signal processing, Image processing, Data modeling, Signal processing, Optical inspection, Mathematical modeling, Reliability, Data conversion

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Proceedings Article | 7 May 1999 Paper

Intelligent optical sensor concept: a new approach using interconnecting sensors

Thomas Berndorfer, Dieter Schmidradler, Alexander Brenner, Walter van Dyck

Proceedings Volume 3740, (1999) https://doi.org/10.1117/12.347800

KEYWORDS: Sensors, Intelligent sensors, Optical sensors, Data processing, Computing systems, Telecommunications, Optical components, Visualization, Intelligent sensor systems, Chemical elements

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Proceedings Article | 7 May 1999 Paper

Temperature measurement with industrial color camera devices

Dieter Schmidradler, Thomas Berndorfer, Walter van Dyck, Juergen Pretschuh

Proceedings Volume 3740, (1999) https://doi.org/10.1117/12.347835

KEYWORDS: Temperature metrology, Cameras, Visualization, Image sensors, Camera shutters, Sensors, Optical filters, Infrared cameras, Optical testing, Inspection

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Proceedings Article | 7 May 1999 Paper

Open, intelligent, and scalable optical part-recognition system

Walter van Dyck, Thomas Berndorfer, Alexander Brenner, Zsolt Tamasi

Proceedings Volume 3740, (1999) https://doi.org/10.1117/12.347793

KEYWORDS: Cameras, Sensors, Signal processing, Image processing, Imaging systems, Line scan image sensors, Digital signal processing, Inspection, Interfaces, Control systems

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Showing 5 of 7 publications

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