Streak Detection Parameter Optimization via Cloud Lookup Tables
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Solution Overview
Problem
Conventional multifunction printers face difficulties in accurately detecting streaks in document images due to insufficient parameter adjustment, requiring manual intervention and significant calculation, which affects productivity and detection accuracy.
Innovation Solution
An information processing apparatus that includes an acquisition unit for image data, a detection unit for streak detection, a transmission unit for sending data to an external apparatus, and a changing unit for updating parameters, utilizing a cloud server with AI processing to automatically adjust and generate optimal streak detection parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing algorithms are used for streak detection, then detection capability is provided, but parameter adjustment requires large amount of calculation and time
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing optimal parameter combinations in a lookup table before actual streak detection is needed. This allows the detection process to quickly retrieve pre-computed parameters without performing time-consuming calculations during real-time operation, thus resolving the contradiction between detection accuracy and adjustment time.
Solution Approach 2:
The invention creates a copied structure by building a lookup table that stores pre-computed parameter combinations. Instead of recalculating parameters during detection, the system copies and retrieves optimized parameter sets from the table, significantly reducing calculation time while maintaining detection accuracy.
2Measurement precision
If manual parameter adjustment is performed, then detection accuracy can be improved, but productivity deteriorates due to dedicated personnel and adjustment time
Solution Approach 1:
The system implements self-service by automatically generating and storing optimal parameter combinations in the lookup table without requiring manual intervention. The parameter adjustment process is automated, eliminating the need for dedicated personnel to perform manual tuning, thus improving productivity while maintaining detection accuracy through algorithmic optimization.
Solution Approach 2:
The invention systematically explores and stores multiple parameter combinations in the lookup table, allowing the system to automatically select optimal parameters for different detection scenarios. This automated parameter management eliminates manual adjustment requirements while maintaining high detection accuracy through computational optimization.
3Measurement precision
If parameters are finely adjusted for typical streaks, then detection accuracy improves, but false positives increase for atypical patterns
Solution Approach 1:
The lookup table stores multiple parameter combinations that can handle various streak patterns including atypical cases. By having a universal set of pre-computed parameters covering different detection scenarios, the system maintains high accuracy for typical streaks while reducing false positives for atypical patterns through appropriate parameter selection.
Solution Approach 2:
The system incorporates feedback mechanisms where detection results are used to refine and update the lookup table over time. This allows the system to learn from both accurate detections and false positives, continuously improving parameter selection to reduce false positives while maintaining detection accuracy across various streak patterns.
Data Source
AI summary
There is provided an information processing apparatus. The information processing apparatus acquires image data of a document read via a scanner; detects a streak included in the image data acquired by the acquisition unit by using a parameter for detection processing of detecting a streak; transmits the image data, the parameter, and a detection result obtained by the detection unit to an external apparatus; and changes the parameter used by the detection unit upon reception of a change in the parameter from the external apparatus.