Dynamic test pattern composition for image-analysis based automatic machine diagnostics
First Claim
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1. A method for dynamic test pattern generation, for use with a document processing system, including:
- automatically selecting a set of test targets, from memory in the document processing system, as a function of the probability of possible defects and machine performance data and to maximize an optimization criteria, wherein automatically selecting a text test target is a constrained optimization process and where the optimization criteria is to maximize the discriminating power between the defects detectable by the test targets; and
placing the set of test targets on a digital test pattern.
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Abstract
The present invention is directed to a system and method for test target selection in conjunction with dynamic test pattern generation. In the invention, a test pattern page(s) is composed using an optimal set of test targets, which can be accommodated or adjusted to fit within size constraints of the test pattern. The method of the present invention makes use of layout optimization to ensure that related and optimized test targets are accommodated on a single test pattern. For example, it may be preferable to “squeeze in” a smaller-than-normal uniform area target, rather than not to print it at all during a test.
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Citations
18 Claims
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1. A method for dynamic test pattern generation, for use with a document processing system, including:
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automatically selecting a set of test targets, from memory in the document processing system, as a function of the probability of possible defects and machine performance data and to maximize an optimization criteria, wherein automatically selecting a text test target is a constrained optimization process and where the optimization criteria is to maximize the discriminating power between the defects detectable by the test targets; and placing the set of test targets on a digital test pattern. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for dynamic test pattern generation, for use with a document processing system, including:
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automatically selecting a set of test targets, from memory in the document processing system, as a function of the probability of possible defects and machine performance data and to maximize an optimization criteria;
wherein automatically selecting a set of test targets further includes;(a) automatically selecting a test target in accordance with an optimal test target sequence, wherein the sequence is a function of the probability of possible defects and machine performance data; (b) placing the test target on a digital test pattern; (c) automatically selecting a next test target in accordance with the optimal test target sequence, wherein the next test target is one that can be accommodated on remaining space of the test pattern; (d) placing the next test target on the digital test pattern; and (e) repeating steps (c) and (d) until no additional test targets are accommodated on the test; and placing the set of test targets on a digital test pattern.
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11. A method for automated image quality based diagnostics and remediation of a document processing system using a diagnostic system, including:
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selecting, as a function of the probability of potential defects, at least one of a plurality of test targets for output as a test pattern by the document processing system, the plurality of test targets being stored in from memory in the diagnostic system; generating a printed output of the test pattern; obtaining data pertaining to the document processing system, including scanning the printed output to obtain image data pertaining to the output of the at least one selected test target; and analyzing the data to obtain an initial diagnosis, the diagnosis including at least one potential defect as identified in data corresponding to the at least one selected test target, and including performing an image quality analysis of the data corresponding to the data for the at least one selected test target. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A system for automated image quality based diagnosis of a document processing system, comprising:
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a test selection module, including a dynamic test target selection function, to select at least one of a plurality of test targets as a function of a diagnostic request to produce a test pattern, wherein said test selection module operates automatically in response to machine data, wherein said data is indicative of the status of at least one subsystem of the document processing system as determined from a sensor associated therewith; a print engine, operatively associated with the document processing system, for rendering the test pattern; an image quality analysis module that identifies and characterizes defects within a test target on the test pattern produced by print engine and generates key features of the defects for further analysis; and a diagnostic engine that analyzes the data generated by the image quality analysis module to obtain a diagnosis, the diagnosis including at least one diagnosis from a list of potential defects in data corresponding to at least one test pattern image, wherein the diagnostic engine refines the initial diagnosis based on the at least one identified defect.
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Specification