Scanning System Automatic Word Recognition Sorting

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Solution Overview

Problem

Current scanning systems lack efficient usability in handling and processing image data, particularly in associating specific words with output settings and performing character recognition to sort and store images accordingly.

Innovation Solution

A scanning system that includes a receiving section for user input of specified words and output settings, a scanner for image acquisition, a determining section for character recognition, and a processing section that outputs image data based on the recognized words, allowing for automatic sorting and printing according to predefined settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual sorting and storage of scanned images is performed, then user control over image organization is maintained, but time consumption and labor effort increase significantly

Engineering Contradiction:
Improveimage processing speedVSAvoidtime for manual sorting
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs automatic character recognition and sorting without requiring manual intervention. The determining section automatically recognizes characters in scanned images, matches them against stored specified words, and sorts images to appropriate storage destinations based on the recognized characters, enabling the system to serve itself rather than requiring user operation for each sorting task.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system pre-stores specified words and their associated output settings in a database before the actual sorting task. This preliminary preparation allows the determining section to quickly match recognized characters against the pre-prepared specified words, significantly reducing the time required during the actual image sorting process.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If character recognition is performed on all scanned images, then automatic sorting accuracy improves, but processing time and computational resources increase

Engineering Contradiction:
Improvecharacter recognition accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system extracts only the necessary character information from scanned images for sorting purposes. The determining section performs character recognition to extract specific character strings that are relevant for matching against specified words, rather than processing or analyzing the entire image content, thus reducing processing time while maintaining sorting accuracy.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs character recognition at the appropriate level of detail needed for sorting - recognizing character strings sufficient for matching against specified words without over-processing. This partial action approach applies recognition only where needed (in the image data) rather than exhaustive processing of all image attributes, optimizing the balance between accuracy and processing speed.

Inventive Principle:
Principle #16Partial or excessive action

3Adaptability or versatility

If multiple output settings are associated with different specified words, then sorting versatility and user customization improve, but system complexity increases

Engineering Contradiction:
Improvesorting flexibilityVSAvoidsystem structure complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The storage destination setting section serves multiple functions: it stores specified words, manages output settings (such as file formats, storage locations, and naming conventions), and coordinates with the determining section for automatic sorting. This multi-functional design allows the system to handle various sorting requirements and output formats through a unified interface, increasing versatility without proportionally increasing complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The determining section acts as an intermediary between the image data and the storage destination setting section. It performs character recognition, matches results against specified words, and determines appropriate storage destinations based on the association between specified words and output settings. This intermediary layer simplifies the overall system structure by centralizing the matching logic and reducing direct complexity between multiple components.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20240346842A1Scanning system, non-transitory computer-readable storage medium storing scanning program, and method for producing output matter
Publication Date: 2024.10.17 SEIKO EPSON CORP
  • US20240346842A1 patent drawing
  • US20240346842A1 patent drawing
  • US20240346842A1 patent drawing

AI summary

A scanning system includes a receiving section that receives a specified word and a processing setting and stores the specified word and the processing setting to a storage medium, a scanner that performs scanning to read an image, a determining section that performs character recognition on image data indicating the read image to recognize a character string and determines whether the specified word is included in the recognized character string, and a processing section that performs processing on the image data with the processing setting associated with the specified word when the specified word is included in the image data.