Image Processing Device Automatic Language Detection
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Solution Overview
Problem
Existing image processing devices require language information associated with image data to display instructions correctly, which can be a barrier for users who do not understand the default language, especially in multi-lingual environments like convenience stores, where users may need to print images but cannot read the language settings.
Innovation Solution
An image processing device with a reception unit for receiving image data without language information, an acquisition unit that analyzes the data to extract language information, and a setting unit that automatically sets the display language based on the analysis, allowing for automatic language selection without the need for dedicated applications or drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If language information is required to be associated with image data for correct display, then display accuracy is improved, but device complexity and user operation difficulty increase
Solution Approach 1:
The image processing device automatically detects language information from image data itself without requiring external input from users or pre-association of language tags. The device performs self-service by analyzing the image content, detecting text regions, and identifying language characteristics autonomously, thereby eliminating the need for complex user operations while maintaining accurate language-specific display
Solution Approach 2:
The patent replaces manual language selection mechanisms (mechanical user input) with automated optical and computational analysis. Instead of requiring users to manually select languages or associate language information with images, the system uses image analysis technology to automatically detect and identify language characteristics from the visual content, substituting mechanical interaction with intelligent automation
2Measurement precision
If language information is required to be associated with image data, then display accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables users to simply input image data without any additional language specification operations. The device automatically performs language detection and configuration, making the process as easy as uploading an image while ensuring accurate language-specific display results
Solution Approach 2:
The language detection and configuration processes are performed automatically in advance during the image processing workflow, before the user needs to view or interact with the displayed content. This preliminary automated action ensures that when users view the results, the correct language is already configured without requiring any manual setup
3Measurement precision
If dedicated applications or drivers are used for language detection, then language detection accuracy is improved, but device complexity increases
Solution Approach 1:
The image processing device integrates language detection functionality directly into its core image processing capabilities, making the device itself universal enough to handle both image analysis and language identification without requiring separate dedicated applications or external drivers. This multi-functionality eliminates additional software layers while maintaining detection accuracy through integrated algorithms
Data Source
AI summary
An image processing device includes a reception unit, an acquisition unit, and a setting unit. The reception unit receives image data that is not associated with language information. The acquisition unit acquires language information from a result of analysis of the image data received by the reception unit. The setting unit sets a language displayed on a display, based on the language information acquired by the acquisition unit.