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Automated Vision-based System for Inspecting Glue Route Quality in Harddisk Drive Top Cover Assembly

An automated vision-based system for inspecting glue route quality in harddisk drive top cover assembly is proposed. It consists of three units: user interface, processing and material handling. In the image processing unit, the image is aligned and then the glue route is extracted. Four partial dark-field images were obtained from each plate. For each image, the reference coordinate system is first determined to construct a rigid-body transformation from predefined template images. Two binary templates were used to identify the defective route in the test image. Our system is efficient and can achieve a very high accuracy.