Keyboard File Verification via Image Processing
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Solution Overview
Problem
Traditional keyboard file verification relies heavily on human visual inspection, which is time-consuming and prone to errors, especially when dealing with large volumes of keyboard samples, leading to potential defective designs entering the production process.
Innovation Solution
A keyboard file verification method using image processing that involves obtaining a keyboard file, generating a search index and feature image, calibrating and comparing it with a template image to generate a difference map, and highlighting discrepancies for further human examination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human visual inspection is used for keyboard file verification, then the process is simple and requires minimal equipment, but the verification accuracy decreases and time consumption increases when dealing with large volumes of samples
Solution Approach 1:
The patent replaces the mechanical human visual inspection system with an automated image processing system. The processor automatically compares keyboard layout images by extracting feature points, generating search indexes, and performing image registration and comparison algorithms, thereby eliminating manual inspection while improving both accuracy and efficiency.
Solution Approach 2:
The patent creates digital copies of keyboard layout images and uses these copies for automated comparison. By generating feature images, search indexes, and candidate images from the original keyboard files, the system enables rapid repeated comparisons without re-inspecting physical samples, significantly reducing time consumption.
2Reliability
If human visual inspection is used for keyboard file verification, then the equipment requirements are minimal, but the reliability of verification decreases due to human negligence and fatigue
Solution Approach 1:
The patent substitutes the human inspection system with an automated processor-based system that performs consistent, fatigue-free comparisons. The system uses algorithms for feature extraction, image registration, and difference mapping that eliminate variability caused by human negligence or fatigue, thereby improving reliability despite increased system complexity.
Solution Approach 2:
The patent implements a feedback mechanism where the system generates difference maps and comparison results that can be reviewed and used to refine the verification process. The automated system provides consistent feedback on keyboard file compliance, enabling continuous quality assurance without human error.
3Productivity
If automated image processing is implemented for keyboard file verification, then verification accuracy and productivity improve, but the device complexity and initial cost increase
Solution Approach 1:
The patent uses digital copying and processing of keyboard layout images to enable rapid automated verification. By creating searchable indexes and feature images from original keyboard files, the system can perform multiple comparisons quickly, significantly increasing productivity while the complexity is confined to software algorithms rather than physical hardware.
Solution Approach 2:
The patent replaces manual inspection mechanics with automated image processing algorithms. The system uses processors to execute comparison algorithms, generate difference maps, and produce verification results automatically, thereby increasing throughput while the complexity remains in the form of software rather than complex mechanical or hardware systems.
Data Source
AI summary
A keyboard file verification method based on image processing comprises controlling a processor to perform following operations: obtaining a keyboard file; generating, according to the keyboard file, a search index and a feature image; obtaining a template image from a template database according to the search index; performing a calibration operation according to the feature image, wherein the calibration operation comprises: adjusting a resolution of the feature image according to a resolution of the template image; performing a shifting operation according to the feature image, to generate a plurality of candidate images; and comparing a key block of each of the plurality of candidate images with a key block of the template image to generate a difference map and a comparison result.