Cloud Processing Scanned Content Markings

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Solution Overview

Problem

Current methods for processing non-electronic printed content, such as underlining or circling terms in books, are time-consuming and require transforming printed pages into electronic documents, which deviates from normal reading habits and is inefficient for selecting desirable content.

Innovation Solution

A processing system and method that uses a scanning device to capture images and a cloud device to analyze and process the content, determining the content type and performing corresponding tasks without the need for manual electronic document conversion, utilizing a storage module for task tables that correspond to selection methods like circling, underlining, or fluorescent marks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If printed pages are transformed into electronic document for content selection and processing, then content selection capability is improved, but processing time increases and reading efficiency decreases

Engineering Contradiction:
Improvecontent selection capabilityVSAvoidprocessing time
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary scanning and content recognition on the printed page before the user finishes reading. The scanning device captures the marked content (circled, underlined, or highlighted text) and the cloud device pre-processes and classifies this content, so that when the user wants to access or process the selected content, it is already prepared and ready, eliminating the need for post-reading electronic conversion and manual selection.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

Instead of converting the entire printed document into an electronic document, the system creates a selective copy of only the marked content. The scanning device captures images of specific marked areas, and the cloud device extracts and processes only these relevant portions, maintaining the benefits of electronic processing while avoiding the time cost of full document conversion.

Inventive Principle:
Principle #26Copying

2Measurement precision

If manual electronic operation is used to select and process desirable content from electronic documents, then content processing accuracy is improved, but operation complexity increases

Engineering Contradiction:
Improvecontent processing accuracyVSAvoidoperation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system enables self-service processing where the marked content on the printed page automatically triggers the scanning and processing workflow. The user simply marks the content during reading, and the system autonomously captures, transmits, classifies, and processes the marked content without requiring the user to perform additional electronic operations, thereby reducing operational complexity while maintaining processing accuracy through automated recognition and classification algorithms.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The cloud device acts as an intermediary between the scanning device and the user. It receives scanned content images, performs content recognition, classification, and processing, then returns the processed results to the user. This intermediary handles the complex processing tasks, freeing the user from complex operations while ensuring accurate content processing through sophisticated cloud-based algorithms.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If traditional scanning and manual selection method is used, then reading habit compatibility is improved, but processing efficiency decreases

Engineering Contradiction:
Improvereading habit compatibilityVSAvoidprocessing efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The system performs preliminary scanning and content recognition on the printed page before the user finishes reading. The scanning device captures the marked content (circled, underlined, or highlighted text) and the cloud device pre-processes and classifies this content, so that when the user wants to access or process the selected content, it is already prepared and ready, eliminating the need for post-reading electronic conversion and manual selection.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system replaces the mechanical process of manual electronic document conversion and content selection with an automated optical and computational system. The scanning device uses optical imaging to capture marked content, and the cloud device uses image recognition and natural language processing algorithms to automatically extract, classify, and process the content, substituting manual mechanical operations with automated technological processes that maintain reading habit compatibility while dramatically improving processing efficiency.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9621745B2Processing system and method for the scanning content
Publication Date: 2017.04.11 INVECTEC APPLIANCES CORPORATION
  • US9621745B2 patent drawing
  • US9621745B2 patent drawing
  • US9621745B2 patent drawing

AI summary

The present invention discloses a processing system and method for the scanning content. The processing system for the scanning content includes a scanning device and a cloud processing device. The scanning device scans the image of the non-electronic paper to generate a paper image and retrieves a selected content image corresponding to the selected content from the paper image. The cloud processing device analyzes the selected content image to correspondingly generate a content type, obtains a processing mode table which stores a plurality of content types and processing means corresponding to each content type, determines which content type in the processing mode table the generated content type belongs to and executes the processing means corresponding to the content type.