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In automotive part manufacturing, part's qualities are main important that manufacturers have to concern during production process. The purpose of this research was to develope the automated quality inspection by applying the gray image processing system to investigate the quality of plastic injection parts in vehicle part industry in dimension measurement section which were complicated and had various geometries and to replace an operator's inspection. The results showed that automated inspection could reduce time and enhance precision of inspection process. Therefore this automated part inspection by image processing system was able to increase work's efficiency and reliability to enhance customer's satisfaction.

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The numerical model is developed to study the vibration response due to the localized defect of ball bearing in rotating machinery. In order to simulate the dynamic response, the equations of motions are developed based on the rotor-bearing system where two identical rotors mounted on symmetric flexible shaft and supported by ball bearings are considered in this model. The presence of defect is introduced on a bearing outer raceway and lubrication effect between bearing components is also included. The numerical results are obtained by applying Runge–Kutta method to solve governing equations of motions. It has been observed that the vibration spectrum of the ball pass frequency outer race and its harmonics for the defect bearing is relatively higher than the good one. Moreover, this dynamic model can effectively enhance the understanding of vibration responses for good and defective bearing.