Abstract
This paper outlines a system for detecting printing errors and misidentifications on hard disk drive sliders, which may contribute to shipping tracking problems and incorrect product delivery to end users. A deep-learning-based technique is proposed for determining the printed identity of a slider serial number from images captured by a digital camera. Our approach starts with image preprocessing methods that deal with differences in lighting and printing positions and then progresses to deep learning character detection based on the You-Only-Look-Once (YOLO) v4 algorithm and finally character classification. For character classification, four convolutional neural networks (CNN) were compared for accuracy and effectiveness: DarkNet-19, EfficientNet-B0, ResNet-50, and DenseNet-201. Experimenting on almost 15,000 photographs yielded accuracy greater than 99% on four CNN networks, proving the feasibility of the proposed technique. The EfficientNet-B0 network outperformed highly qualified human readers with the best recovery rate (98.4%) and fastest inference time (256.91 ms).
Highlights
The head slider is a magnetic head sensor mounted to the tip of a suspension arm, known as a head gimbal assembly, of a hard disk drive (HDD) that assists in reading and writing components while flying above the hard disk magnetic media surface (Figure 1).A slider was produced using a wafer made of aluminum and titanium
We implemented the system by using the concept of an application program interface (API) service call via the cloud infrastructure to facilitate in the recovery of defects from a standard optical character recognition (OCR)-based computer vision system in order to minimize computing hardware costs to assist the production lines
The results demonstrate that our proposed model performed at an outstanding level, which is consistent with the results obtained using the HDD serial number dataset
Summary
The head slider is a magnetic head sensor mounted to the tip of a suspension arm, known as a head gimbal assembly, of a hard disk drive (HDD) that assists in reading and writing components while flying above the hard disk magnetic media surface (Figure 1).A slider was produced using a wafer made of aluminum and titanium. The head slider is a magnetic head sensor mounted to the tip of a suspension arm, known as a head gimbal assembly, of a hard disk drive (HDD) that assists in reading and writing components while flying above the hard disk magnetic media surface (Figure 1). Wafer fabrication and mounting, dicing, row chopping, and head parting were all part of the general manufacturing process. During the mechanical slider assembly process, certain defects, such as contamination or scratches, are prevalent. Automatic identification (Auto ID) of sliders is essential for tracking and identifying component process history, processing defects, and product recalls. The Auto ID system employs laser-based serial number printing on individual head sliders. The serial number is typically captured with a digital camera and saved as an image format (Figure 1A)
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