The scientific objective of the research is to develop a strategy to build computer based vision systems for inspection of surface defects in products, especially discontinuities which appear in castings after machining. In addition to the proposed vision inspection method the authors demonstrates the development of the advanced computer techniques based on the methods of scanning to measure topography of surface defect in offline process control. This method allow to identify a mechanism responsible for the formation of casting defects. Also, the method allow investigating if the, developed vision inspection system for identification of surface defects have been correctly implemented for an online inspection. Finally, in order to make casting samples with gas and shrinkage porosity defects type, the LGT gas meter was used . For this task a special camera for a semi-quantitative assessment of the gas content in aluminum alloy melts, using a Straube-Pfeiffer method was used. The results demonstrate that applied solution is excellent tool in preparing for various aluminum alloys the reference porosity samples, identified next by the computer inspection system.
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