Generative AI Scan Job Creation for Driver-Aware Document Capture
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Solution Overview
Problem
Existing AI systems require user effort to integrate scanned images into documents, as they lack direct integration capabilities, necessitating manual input after scanning via servers or email.
Innovation Solution
A mechanism that utilizes generative AI to automate the scanning process by acquiring scanner driver information, confirming processing conditions, and generating scan jobs based on user input, enabling seamless integration of scanned images into documents through natural language commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual integration of scanned images into documents is used, then system simplicity is maintained, but user convenience and productivity deteriorate due to required manual effort
Solution Approach 1:
An intermediary system is introduced between the image processing apparatus and the document creation application. This intermediary receives natural language instructions, automatically generates scan jobs, and integrates scanned images into documents without requiring user intervention in the integration process, thus improving ease of operation while managing complexity through automation
2Productivity
If automated scan job generation is implemented, then productivity is improved by reducing manual steps, but device complexity increases due to additional processing requirements
Solution Approach 1:
The system performs preliminary actions by acquiring driver information and generating scan jobs automatically before the actual scanning process. By preparing the scan job in advance based on natural language instructions and driver capabilities, the system eliminates manual configuration steps during the scanning process, thereby improving productivity while containing complexity through pre-processing
Solution Approach 2:
The system enables self-service by automatically generating scan jobs without requiring user intervention. The image processing apparatus and intermediary system work together to autonomously create and execute scan jobs based on acquired driver information and natural language instructions, improving productivity while the automation manages the complexity internally
3Ease of operation
If natural language input processing is added to generative AI, then ease of operation is improved, but device complexity increases due to additional processing layers
Solution Approach 1:
The generative AI system is extended with multi-functionality to handle natural language input processing in addition to its existing capabilities. By integrating natural language understanding and scan job generation functions into the existing AI architecture, the system improves ease of operation while leveraging existing processing capabilities to manage complexity
Data Source
AI summary
This disclosure is directed to a non-transitory computer-readable storage medium storing a computer program that extends functionality of a generative AI service, the computer program causing a computer operating as an information processing apparatus to function so as to: acquire information relating to a driver for an image processing apparatus upon accepting, via the generative AI service, a scan request to read an image from a document; confirm, with a user via the generative AI service, a processing condition to be applied to the scan request based on the scan request and the acquired information relating to the driver; generate a job reflecting the confirmed processing condition; and submit the generated job to the image processing apparatus to cause the image processing apparatus to execute a scan.