Under CopyrightGeese, M.M.GeeseTetzlaff, R.R.TetzlaffCarl, D.D.CarlBlug, A.A.BlugHöfler, H.H.HöflerAbt, F.F.Abt2022-03-1012.11.20082008https://publica.fraunhofer.de/handle/publica/35865810.1109/CNNA.2008.458867710.24406/publica-r-3586582-s2.0-51949103427There 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 available in systems such as the ACE16k, Q- Eye, and SCAMP-3 (P. Dudek et al., 2006), one has become able to implement a real time laser welding processing. In this paper we will propose a feature extraction algorithm, running at a frame rate of 10 kHz, for a laser welding process. The performance of the algorithm has been studied in detail. In particular, it has been implemented on an Eye-RIS v.1.1 system and has been applied to laser welding processes.en621conference paper