Automated Error Screen Recognition and Correction

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Solution Overview

Problem

Current systems lack effective methods for automatically recognizing and responding to error screens in computer systems, leading to inefficient error correction and potential downtime.

Innovation Solution

A method that captures iteratively frames of image data from user interface screens, performs recognition processing using historical data to determine error classifiers, and takes corrective actions based on a decision data structure that maps error classifiers to actions, enabling automated error correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If automated error recognition and response system is implemented, then system reliability is improved, but device complexity increases

Engineering Contradiction:

Improvesystem reliabilityVSAvoiddevice complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system enables automated self-diagnosis and self-correction of errors through image recognition and decision data structures, allowing the computer system to respond to errors autonomously without human intervention, thus improving reliability while managing complexity through automation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual error detection and correction processes with automated image recognition technology and algorithmic decision-making systems, substituting human-operated mechanical processes with intelligent automated systems that enhance reliability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of time

If manual error correction process is used, then device complexity is low, but loss of time increases due to slower error response

Engineering Contradiction:

Improveerror response timeVSAvoidautomation level

Core Design Contradiction:

Loss of timeVSExtent of automation

Solution Approach 1:

The system performs preliminary actions by capturing and analyzing error screens in real-time, using pre-established decision data structures to immediately determine and execute appropriate corrective actions, eliminating the time delay associated with manual error detection and response

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops where error screens are captured, analyzed, and trigger automated responses, with the decision data structure providing real-time feedback mechanisms that enable rapid iterative correction of errors, significantly reducing response time

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11379296B2Intelligent responding to error screen associated errors

Publication Date: 2022.07.05 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining iteratively captured frames of image data representing a user interface screen, wherein one or more of the frames of image data represents an error screen indicating an error condition of one or more resource of a plurality of resources of a services system; performing recognition processing using image data of the captured frames of image data to determine an error classifier associated to the error screen: determining one or more action based on the error classifier; and performing the one or more action in response to the determining.