Mobile Screenshot Context Processing via AI Categorization

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Solution Overview

Problem

Existing mobile terminal technologies require multiple user inputs to utilize screenshot images for various functions, limiting their efficiency in recording, transmission, and aesthetics.

Innovation Solution

Implementing image context processing to identify and categorize screenshot images, allowing for automatic extraction and storage of relevant information, generation of notification messages, and transmission based on AI processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If screenshot images are generated for various functions, then the versatility of mobile terminal is improved, but multiple user inputs are required which increases operation complexity

Engineering Contradiction:

Improvefunctionality of screenshot imagesVSAvoidnumber of user inputs

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically analyzes screenshot images using AI algorithms to identify their function type (e.g., notification, message, payment) and extracts relevant information without user intervention. This self-service approach eliminates the need for multiple user inputs while maintaining versatile functionality across different screenshot types

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the parameter of information extraction from manual user specification to automatic AI-based extraction. By transforming how screenshot information is processed (from user-driven to system-driven), the patent achieves both versatility and ease of operation simultaneously

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If screenshot images are processed manually for various purposes, then information accuracy is improved, but processing time increases

Engineering Contradiction:

Improveinformation extraction accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical processing of screenshots with AI-based automated processing. The AI algorithm automatically identifies screenshot types, extracts key information, and structures data, achieving both high accuracy and rapid processing without the time consumption of manual operations

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary classification and information extraction automatically when screenshots are captured. By preparing and organizing screenshot data in advance through AI processing, the system eliminates subsequent manual processing steps while maintaining information accuracy

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11495035B2Image context processing

Publication Date: 2022.11.08 LG ELECTRONICS INC

AI summary

Provided is a notification management method of a mobile terminal including generating a screenshot image, determining a category of the screenshot image based on a text or an image included in the screenshot image, and extracting a text or an image related to the category and generating notification information using the extracted text or image. The user equipment and the AI system of this disclosure may be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, and devices related to 5G services.