Count Destination Management via OCR Identification
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Solution Overview
Problem
Users belonging to multiple organizations face difficulties in designating the correct count destination for image forming apparatus operations, such as scanning or copying, especially when processing documents for multiple companies, as existing systems require manual selection from a list of plural count destinations.
Innovation Solution
A count destination management apparatus that uses a processor to receive image information and specify the correct count destination based on identification information registered in advance for each organization, utilizing OCR processing to match character strings or document formats with pre-registered identification information, thereby automating the selection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection from a list of plural count destinations is required, then the system can accurately track usage for multiple organizations, but the user's operation becomes complex and time-consuming
Solution Approach 1:
The system performs automatic count destination specification by itself without requiring user intervention. The image forming apparatus automatically analyzes the document, extracts identification information, and determines the appropriate count destination, making the system self-serve the count specification function.
Solution Approach 2:
The manual mechanical selection process is replaced by an automated information processing system. Optical character recognition and image analysis technologies substitute for the manual list-selection mechanism, automatically identifying the count destination based on document content.
2Ease of operation
If automatic count destination specification is implemented, then user operation becomes simple, but the system complexity increases due to OCR and image analysis requirements
Solution Approach 1:
The image forming apparatus integrates multiple functions including document scanning, image analysis, optical character recognition, and count destination management into a single universal device. This allows the system to perform automatic count specification without requiring separate dedicated devices for each function.
Solution Approach 2:
The system uses an intermediary information processing mechanism that bridges the document input and count destination output. The OCR and image analysis components act as intermediaries that automatically translate document content into the appropriate count destination selection.
3Extent of automation
If identification information is extracted from image data, then automatic count destination determination is achieved, but processing time increases compared to simple manual selection
Solution Approach 1:
Identification information is registered in advance in the system's storage unit. When a document is processed, the system compares the extracted information against pre-registered data, significantly faster than manual selection or complex real-time analysis. The preliminary registration of identification patterns accelerates the matching process.
Data Source
AI summary
A count destination management apparatus includes a processor configured to receive image information entered by a user having plural count destinations and specify a count destination corresponding to the image information among the plural count destinations on a basis of identification information included in the image information, the identification information being registered in advance for each of the plural count destinations.