Display Output Signal Analysis for OS Fault Detection
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Solution Overview
Problem
Existing computing systems without display devices, such as servers in data centers, face challenges in detecting and diagnosing Operating System (OS) failures since fault screens are not rendered on a display device, making it difficult for network administrators to identify and troubleshoot issues.
Innovation Solution
A management module that captures and analyzes display output signals to determine the OS state by comparing image data with known fault screens, generating an alert message independently of the OS, and performing secondary character recognition analysis only when primary image similarity exceeds a threshold to reduce false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If display output signals are captured and analyzed to detect OS failures, then detection capability is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual OS state monitoring mechanisms with automated image analysis. Instead of relying on OS-level monitoring tools or physical display inspection, the system captures display output signals and uses image processing algorithms to automatically detect fault screens, substituting mechanical/manual processes with automated computational methods.
Solution Approach 2:
The patent introduces a management module as an intermediary between the display output and the monitoring system. This intermediary captures display signals, processes them through image analysis, and generates alerts independently of the OS, serving as a mediator that translates visual fault indicators into actionable notifications without requiring direct OS involvement.
2Measurement precision
If comprehensive image analysis is performed to accurately detect fault screens, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent segments the image analysis process into distinct stages: initial capture of display output, extraction of key visual features, comparison against known fault screen patterns, and generation of alerts. This segmentation allows the system to focus computational resources on critical analysis steps while skipping unnecessary processing for normal screens, thereby improving both accuracy and efficiency.
Solution Approach 2:
The patent performs preliminary actions by pre-storing known fault screen images and their characteristics in a database. When analyzing display output, the system compares captured images against these pre-established patterns, eliminating the need for complex real-time analysis of every pixel. This preliminary preparation significantly reduces processing time while maintaining high detection accuracy.
Data Source
AI summary
In some examples, a system for determining whether an operating system fault has occurred includes data storage and a processing system. The data storage may store image data indicative of a computing system display output. The processing system may access the stored image data. The processing system may determine that the computing system display output corresponds to a fault display output associated with a fault state of an operating system, which determination may include the processing system determining an extent of similarity between the accessed image data and a reference image associated with the fault display output. The processing system may generate a fault indication responsive to determining that the computing system display output corresponds to the fault display output.