Image Judging System Using Guide Marks for Defect Localization
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Solution Overview
Problem
Current image forming apparatuses face challenges in maintaining high image quality, as existing methods for judging and adjusting image formation conditions are not sufficient for precise defect identification and correction.
Innovation Solution
An image judging system comprising a server and a mobile terminal that calculates the position of an image of interest and a landmark image within whole image data, generates guide marks, and captures enlarged images of defects to improve image quality by adjusting print settings based on detailed defect analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing image judging methods are used to maintain image quality, then basic image formation can be achieved, but precise defect identification and correction are insufficient
Solution Approach 1:
The patent introduces guide marks as intermediary elements that facilitate precise defect identification. These guide marks are superimposed on the captured image to indicate the exact location and boundaries of defects, acting as a mediator between the automatic detection system and human verification, thereby improving measurement precision without requiring complex manual inspection methods
Solution Approach 2:
The patent segments the image analysis process into multiple stages: initial defect detection, guide mark generation, and selective detailed examination. By dividing the judging target image into regions with defects and regions without defects, and focusing detailed analysis only on defect regions, the system achieves high precision while managing complexity through staged processing
2Measurement precision
If manual inspection methods are used for defect detection, then detailed defect analysis is possible, but time consumption and productivity are reduced
Solution Approach 1:
The patent applies partial action by performing complete manual-verification-quality analysis only on regions containing defects, while using automated detection for the entire image. The guide marks enable operators to quickly locate and verify only the defective regions rather than manually inspecting the entire image, thereby maintaining high detection accuracy while significantly improving productivity
Solution Approach 2:
The patent replaces manual mechanical inspection with an automated system that uses image capture, processing, and guide mark generation. This substitution maintains detection accuracy by preserving human verification capability for defect regions while using automated mechanisms for initial detection and guide mark placement, thereby improving productivity
3Ease of operation
If automated image capture is used without guide marks, then processing speed is maintained, but accurate localization and detailed analysis of defects become difficult
Solution Approach 1:
The patent performs preliminary action by pre-calculating and superimposing guide marks on the captured image before detailed examination. These guide marks are prepared in advance based on automated defect detection results, indicating the precise location and boundaries of defects. This preliminary preparation makes subsequent detailed examination much easier and faster, as operators can immediately focus on the marked regions without time-consuming manual localization
Data Source
AI summary
An image judging system includes a server and a mobile terminal performing communication therewith. The server includes a position calculating unit that calculates positions of an image of interest and a first landmark image corresponding thereto of a judging target image in whole image data obtained on the basis of a judging target image. The mobile terminal includes: a display unit displaying the image data and the guide mark together; and an imaging unit capturing an image of the judging target image, thereby generating image data, and generating image data related to the judging target image. The server or the mobile terminal includes a guide information generating unit calculating a position of a guide mark on the basis of a position of the detected first landmark image in the image data and a positional relationship between the image of interest and the first landmark image in the whole image data.


