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As an alternative for human inspection, presented in this study was the development of a machine vision inspection system (MVIS) purposely for car seat frames. The proposed MVIS was designed to meet the demands, features and specifications of car seat frame manufacturing companies in striving for increased throughput of better quality. This computer-based MVIS was designed to perform quality measures by detecting holes, nuts and welding spots on every car seat frame in real time and ensuring these portions are intact, precise and in proper place. In this study, the NI Vision Builder software for Automatic Inspection was used as a solution in configuring the aimed quality measurements. The proposed software has measurement techniques such as edge detecting and pattern-matching which are capable of identifying the boundaries or edges of an object and analyzing the pixel values along the profile to detect significant intensity changes. Either of these techniques is capable of gauging sizes, detecting missing portion and checking alignment of parts. The techniques for visual inspection were optimized through qualitative analysis and simulation of human tolerance on inspecting car seat frames. Furthermore, this study exemplified the incorporation of the optimized vision inspection environment to the pre-inspection and post-inspection subsystems. The optimized participation of human on this proposed MVIS for car seat frames has ideally eased to feeding and sorting.
Andres et al. (Mon,) studied this question.