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In this paper the results obtained by the use of new CNN based visual algorithms for the control of welding processes are described. The growing number of laser welding applications from automobile production to micro mechanics requires fast systems to create closed loop control for error prevention and correction. Nowadays the image processing frame rates(More)
In this paper a new Cellular Neural Network (CNN) based visual algorithm for welding processes is proposed. The idea described in [1] can be used in processes, whose welding direction has a constant orientation well known a priori. The algorithm proposed in the following is omnidirectional in the sense that it does not depend on the welding direction. This(More)
There is a rapidly growing demand for laser welding in a wide variety of manufacturing processes ranging from automobile production to precision mechanics. Up to now, the high dynamics of the process has made it impossible to construct a camera based real time quality and process control. Since new pixel parallel architectures are existing, which are now(More)
A novel implementation of lensless multiwavelength digital holography with autocalibration of temporal phase shifts and artificial wavelength is presented. The algorithm we used to calculate the phase shifts was previously proposed [Opt. Lett.29 183 (2004)] and, to our knowledge, is now used for the first time in lensless holography. Because precise(More)
This paper deals with the realization of a visual monitoring system for the real time detection of spatters in laser beam welding (LBW). Spatters deteriorate the corrosion resistance and the aesthetics of the welding result. Therefore, the real time detection of spatters allows providing on-line quality information about the process, thus reducing material(More)
CNN based cameras are able to process images in the kHz range in machine vision systems, as demonstrated for the closed loop control of laser welding processes. Other applications do not benefit from a comparable light source. This paper reports the current state of a LED based lighting for the inspection of cylindrical metallic surfaces on aluminum wires.(More)
An important issue in industrial quality control is the inspection of rapidly moving surfaces for small defects such as scratches, dents, grooves, or chatter marks. This paper investigates the potential of the EyeRIS 1.3 camera as a state-of-the-art camera based on “cellular neural networks” (CNN) for this application in comparison to(More)
In macro welding-processes, monitoring and closed-loop control by using the so-called “full penetration hole” is well known. This paper reports first results for the transfer of this technology to laser micro-welding processes for lap joints as they are used for housings or fuel cells. The laser source was a 400 W cw fiber laser with a Gaussian beam profile(More)