Open, intelligent, and scalable optical part-recognition system

Walter van Dyck; Thomas Berndorfer; Alexander Werner Brenner; Zsolt Tamasi

doi:10.1117/12.347793

7 May 1999 Open, intelligent, and scalable optical part-recognition system

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

Proceedings Volume 3740, Optical Engineering for Sensing and Nanotechnology (ICOSN '99); (1999) https://doi.org/10.1117/12.347793
Event: Optical Engineering for Sensing and Nanotechnology (ICOSN '99), 1999, Yokohama, Japan

Abstract

In production and assembly processes, part-recognition is an important task in the field of quality assurance, determination of position errors and sorting of the inspected parts. The benefits and the conditions of part-recognition vary in a wide range, which led to the availability of numerous systems based on different technologies. Depending on the problem which has to be solved you have to compare the several technologies and to choose the systems which solves the given problem best. For example mechanical separation has their great power in robustness and throughput rate. But depending on geometry of the parts such system can be very complex. Furthermore an additional disadvantage is the fact that its not easy to detect lacks of quality. In the worst case such a defective part can cause a destruction of the assembly machine. If high flexibility or better accuracy is requested, other technologies like an optical system have to be used. The selection of an appropriate, cost-effective system is a very difficult and time-consuming task. If it is decided to use an optical system then in many cases a special system has to be constructed. Our approach is not to develop a further system for a special problem, but to provide a system for various applications. Therefore our demands for such a system are that it is open, scaleable and intelligent.

Citation Download Citation

Walter van Dyck, Thomas Berndorfer, Alexander Werner Brenner, and Zsolt Tamasi "Open, intelligent, and scalable optical part-recognition system", Proc. SPIE 3740, Optical Engineering for Sensing and Nanotechnology (ICOSN '99), (7 May 1999); https://doi.org/10.1117/12.347793

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KEYWORDS

Cameras

Sensors

Image processing

Signal processing

Digital signal processing

Imaging systems

Line scan image sensors

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