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This chapter presents an approach to detect corrosion on FeCo pole tip. The developed approach improves the accuracy, specificity, robustness, as well as rapidness of detection in order to handle the problem under the time constraint imposed by the industrial environment. The approach starts by extracting the top‐shield region of the FeCo pole tip from the input images. A specially designed filter...
This chapter presents two corrosion detection methods based on the contour information of the pole tip. The first estimates contour length of the pole tip in order to analyze the occurrence of corrosion. The second implements nonlinear analysis to detect pitting corrosion. The nonlinear filter shows higher accuracy for detecting minute corrosion and is more favorable than the previous studies. The...
This chapter presents texture analysis methods for detection of contaminations (micro particle, stain and metal) on the air‐bearing surface (ABS). A complete system is developed composed of an image acquisition module, a feature extraction module and a decision‐making module. The input ABS image is first analyzed by the texture unit and the co‐occurrence matrix to obtain texture features which are...
The head gimbal assembly (HGA) is an important component of the read/write part in a hard disk drive (HDD). The HGA consists of a slider and suspension which are connected by a solder jet bond (SJB) machine. This chapter presents detection methods with a very high performance to detect solder jet ball joint defects on HGAs including the vertical edge detection method, chain code descriptor‐based method,...
Due to the small size of integrated circuit (IC) die components in hard disk drives (HDD), fault deformation of solder bumps on an actuator arm is found frequently. This chapter presents the analytical method for the analysis of bump shape changes in the symmetrical and asymmetrical pattern in the production process of IC die packages. Based on different bump alloys, some parameters in the production,...
This chapter presents the theoretical aspect concerning the application of artificial intelligence (AI) techniques to control the quality of hard disk drive (HDD) components. It first describes general guidelines of how AI could be applied to quality control (QC) task, and includes a review of some key literatures. AI tasks in QC can be classified into three groups: classification and prediction,...
The dimension measurement of a hard disk drive (HDD) component is an important process in the HDD industry, which is one of the most prolific industries in Thailand. This chapter focuses on a borehole dimension inspection of HDD pivot arms, using an automated dimension inspection system. This system is operated on graylevel images. The color images from a microscope are converted to graylevel images...
Electrostatic discharge (ESD) events are serious hazards in hard disk drive (HDD) manufacturing assembly lines. This chapter provides current technologies for visualizing invisible ESD events including ESD sensitivity tests of automated product manufacturing equipment, monitoring of ESD prevention equipment and ESD event localization technologies which are a key requirement for proactive ESD prevention...
This chapter presents the practical application of the morphological template‐base method and several image processing algorithms to check the availability of adapters of hard disk drives (HDDs). It also presents an automatic system development in visual inspection technology for detecting the styrofoam beads. The chapter covers the morphological template‐based method to detect the styrofoam beads...
The scratching of magnetic disks in hard disk drives (HDDs) often causes errors in the processing of read/write data. An effective monitoring system for scratch detection that can be used during the manufacturing of HDDs is required. This chapter highlights the computer vision technologies used in the HDD industry to inspect the defects on media surfaces and the quality of the glue dispenser route...
This chapter presents an image processing method for quantitative transmission electron microscopy (TEM) analysis of recording media. Specifically, multilevel image segmentation is applied to characterize aggregated magnetic nanoparticles. This allows for the measurement of the grain size distribution. The Lennard‐Jones (LJ) potential energy model is then applied to measure the dispersion of the nanoparticles...
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