Document Image Sorting Through Generative AI Character Extraction
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Solution Overview
Problem
Existing image processing systems lack the ability to efficiently sort image data into storage locations using generative AI services, as they typically rely on character recognition processing performed by the image processing apparatus rather than leveraging generative AI for character extraction.
Innovation Solution
An image processing apparatus that includes a reading part to generate image data, an operation part to receive prompts for generative AI analysis, and a control unit to store data in folders based on character strings extracted by the generative AI, enabling sorting of image data into appropriate storage locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If character recognition processing is executed by the image processing apparatus, then image data can be sorted into storage locations, but the system cannot leverage generative AI services for character extraction
Solution Approach 1:
The patent introduces a generative AI service as an intermediary component that receives image data and returns extracted character strings. This mediator approach allows the image processing apparatus to leverage external AI capabilities without integrating complex AI models internally, thus improving adaptability while managing device complexity through modular architecture.
Solution Approach 2:
The image processing apparatus is designed to perform multiple functions: it can use traditional character recognition methods or switch to generative AI services for character extraction. This multi-functionality allows the system to adapt to different processing requirements and leverage advanced AI capabilities when needed, while maintaining backward compatibility with existing methods.
2Measurement precision
If traditional character recognition processing is used, then the image processing apparatus can independently sort image data, but it lacks the advanced capabilities of generative AI for character extraction
Solution Approach 1:
The patent changes the processing parameter from traditional character recognition methods to generative AI-based extraction. This parameter change enables the system to leverage the advanced capabilities of generative AI models, which can achieve higher accuracy in character extraction and more efficient data sorting by utilizing the AI models' sophisticated understanding of document content and structure.
3Reliability
If image data is sorted using generative AI services, then data organization is improved, but the system requires external service integration
Solution Approach 1:
The generative AI service acts as a reliable intermediary that handles the complex task of character extraction and data sorting. By externalizing this functionality, the image processing apparatus achieves improved data organization reliability without bearing the complexity of implementing and maintaining sophisticated AI models internally. The intermediary service absorbs the integration complexity while delivering reliable results.
Data Source
AI summary
An image processing apparatus that can sort image data into storage locations using a generative AI service. An image of a document and generate image data is read, a prompt for causing generative AI to execute image analysis for extracting a predetermined character string from the image data is received, the image data and the prompt are transmitted to the generative AI, the character string extracted through the image analysis performed by the generative AI is acquired, and control to store the image data in a folder indicated by a folder path including the character string that has been acquired is performed.