Image processing for automated visual surface inspection

Michael Fuss; Peter Scharf; Franz Josef Luecke

doi:10.1117/12.287760

25 September 1997 Image processing for automated visual surface inspection

Michael Fuss, Peter Scharf, Franz Josef Luecke

Proceedings Volume 3100, Sensors, Sensor Systems, and Sensor Data Processing; (1997) https://doi.org/10.1117/12.287760
Event: Lasers and Optics in Manufacturing III, 1997, Munich, Germany

Abstract

Due to the changes on the international market that derive :from the introduction of product liability and the augmenting international competition in relation with an increasing awareness for quality, quality inspection of industrial manufacturing processes gains more and more importance. The growing automation of manufacturing processes as well as the introduction of flexible manufacturing systems also require the automation of the quality inspection. There are various reasons for that: • The manual-visual control is liable to high slip rates of undetected faults. • Human beings judge subjectively. Thus, the reproducibility of the results is low. • At high clock-pulse rates, human beings are unable to keep up with the production clock-pulse. • Visual control is highly monotonous work. • The documentation of the inspection results requires great effort. Today, image processing systems are being used for manifold tasks in industrial manufacturing processes. They can be used to identify workpieces as well as to control the flow of material. In automatic handling processes image processing systems control the position of the objects. When used for quality inspection they are employed for measuring, surface control and the control of assembling processes.

Citation Download Citation

Michael Fuss, Peter Scharf, and Franz Josef Luecke "Image processing for automated visual surface inspection", Proc. SPIE 3100, Sensors, Sensor Systems, and Sensor Data Processing, (25 September 1997); https://doi.org/10.1117/12.287760

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