Vision-Based Sentiment Analysis via AR Overlay

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Solution Overview

Problem

Existing text sentiment analysis systems lack the capability to visually analyze text sources using computer vision, requiring users to manually digitize or retype text, which is cumbersome and disrupts the writing process, and they cannot provide real-time sentiment analysis and recommendations via augmented reality.

Innovation Solution

A vision-based system that uses a camera module and a vision-based text analyzing device to scan and analyze text images, generate sentiment classification, and display results via augmented reality overlays, allowing real-time sentiment analysis and revision recommendations directly on the text source.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If existing text sentiment analysis systems are used, then sentiment analysis capability is provided, but users must manually digitize or retype text which increases operation complexity and time consumption

Engineering Contradiction:

Improvetext input convenienceVSAvoidtime for manual text digitization

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The patent uses optical copying technology to capture text images directly from physical or digital sources using a camera module, eliminating the need for manual typing or digitization. The system copies the visual appearance of text and processes it through OCR to extract meaningful content for sentiment analysis.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces manual mechanical text input methods with an automated vision-based system. The camera module captures text images, and computer vision algorithms automatically process these images to extract text and perform sentiment analysis, substituting the manual mechanical process with an automated optical and computational system.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual text digitization is required, then text can be analyzed by existing systems, but the writing process is interrupted and productivity decreases

Engineering Contradiction:

Improvesentiment analysis accuracyVSAvoidwriting process continuity

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent enables continuous sentiment analysis throughout the writing process by integrating the analysis function directly into the writing environment. Users can capture text images at any point during writing, and the system provides immediate feedback without requiring the writing process to be paused or interrupted for manual text transfer.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The patent introduces an intermediary vision-based system that bridges the gap between the writer and the text being written. The camera module and image processing system act as intermediaries to capture and analyze text in real-time, providing sentiment feedback without requiring direct manual intervention or interruption of the writing flow.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If hand-written text analysis is supported, then broader text sources can be analyzed, but manual digitization processes become more complex

Engineering Contradiction:

Improvetext source compatibilityVSAvoiddigitization process complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal text analysis system that can handle multiple types of text sources (hand-written, printed, digital displays) through a single unified approach. The camera module captures text images regardless of the source type, and the OCR and sentiment analysis components process all text uniformly, eliminating the need for separate digitization processes for different text types.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Measurement precision

If real-time sentiment feedback is provided, then writing quality improves, but system complexity increases

Engineering Contradiction:

Improvesentiment detection accuracyVSAvoidvision-based analysis system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the sentiment analysis system into distinct functional modules: a camera module for text capture, an OCR component for text extraction, a sentiment analysis component for emotional tone detection, and a feedback component for providing recommendations. This segmentation allows each module to be optimized independently while working together to provide real-time feedback.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11630959B1Vision-based text sentiment analysis and recommendation system

Publication Date: 2023.04.18 DELTA CAMPAIGNS LLC

AI summary

A vision-based system for identifying textual sentiment present in a text source image, comprising a camera module adapted to capture the text source image, and a vision-based text analyzing device adapted to analyze the input image, identify a text input string, and determine the sentiment embodied by the text input string, the vision-based text analyzing device is further adapted to revise the text input string to embody an alternate sentiment, the vision-based system has an output display for presenting sentiment classification results and the revised text string via in an augmented reality format.