Image Forming Apparatus Log Classification for Abnormality Detection
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Solution Overview
Problem
Existing techniques for transmitting logs from image forming apparatuses do not distinguish between different types of use, tendencies of use, or use conditions, leading to potential false detection of abnormalities in logs that are normal under specific use conditions.
Innovation Solution
The image forming apparatus is equipped with a processor that identifies the type of use, tendency of use, or use condition and transmits logs with this information distinguishable, allowing for separate handling and analysis of logs based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If logs are transmitted without distinguishing types of use, tendencies of use, or use conditions, then the log transmission process is simple, but abnormality detection accuracy deteriorates due to false positives
Solution Approach 1:
The patent segments log data by adding classification information that distinguishes different types of use, tendencies of use, and use conditions. This segmentation allows the server to analyze logs separately for each category, improving abnormality detection accuracy by avoiding false positives that would occur when all logs are mixed together.
2Reliability
If logs are transmitted with distinguished types of use, tendencies of use, or use conditions, then abnormality detection accuracy is improved, but the log transmission and processing complexity increases
Solution Approach 1:
The patent applies segmentation by classifying logs into different categories based on type of use, tendency of use, and use conditions. This enables the server to perform targeted risk analysis for each segment, improving reliability of risk detection while managing complexity through structured classification rather than unstructured analysis of all logs.
Solution Approach 2:
The patent changes parameters by adding classification dimensions (type of use, tendency of use, use conditions) to the log data structure. This parameter enrichment allows the system to distinguish between normal variations in usage patterns and actual abnormalities, thereby improving risk detection reliability without requiring fundamentally new system architecture.
Data Source
AI summary
An image forming apparatus include a processor configured to: obtain a type of use, a tendency of use, or a use condition of the image forming apparatus by a user; and transmit a log regarding use of the image forming apparatus by the user with the obtained type of use, the obtained tendency of use, or the obtained use condition being distinguishable.