Text Detection Interface Automation for Battery-Constrained Devices

Solution Overview

Problem

Existing techniques for detecting text using computer systems are cumbersome and inefficient, often requiring multiple key presses or keystrokes, wasting user time and device energy, particularly in battery-operated devices.

Innovation Solution

The development of faster and more efficient methods and interfaces for detecting text, which include detecting image data with multiple portions of text and providing output based on specific input conditions, reducing cognitive burden and conserving power by optimizing user interactions and device usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If existing text detection techniques are used, then text can be detected, but the process is cumbersome and requires multiple key presses, increasing operation time and energy consumption

Engineering Contradiction:

Improvetext detection operationVSAvoidtime for text detection

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system automatically detects text in the captured image and performs OCR processing without requiring manual user input. The computer system serves itself by autonomously identifying and processing text regions, eliminating the need for users to press multiple keys or manually navigate through detection steps.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs text detection and OCR processing in advance based on the captured image data, so that when a user subsequently interacts with the text (e.g., selects or copies it), the processing is already complete. This preliminary action eliminates the need for additional processing steps during user interaction.

Inventive Principle:

Principle #10Preliminary action

2Ease of operation

If existing text detection techniques are used, then text can be detected, but multiple key presses are required, increasing energy consumption in battery-operated devices

Engineering Contradiction:

Improvetext detection operationVSAvoiddevice energy consumption

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The system automatically detects text in the captured image and performs OCR processing without requiring manual user input. The computer system serves itself by autonomously identifying and processing text regions, eliminating the need for users to press multiple keys or manually navigate through detection steps.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs text detection and OCR processing in advance based on the captured image data, so that when a user subsequently interacts with the text (e.g., selects or copies it), the processing is already complete. This preliminary action eliminates the need for additional processing steps during user interaction.

Inventive Principle:

Principle #10Preliminary action

3Ease of operation

If existing text detection techniques are used, then text can be detected, but the user interface is complex, increasing cognitive burden on the user

Engineering Contradiction:

Improveuser interface simplicityVSAvoiduser interface complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent extracts and removes the complex multi-step user interface elements from the text detection process. By eliminating the need for multiple key presses and manual navigation steps, the interface is simplified to essentially automatic operation, reducing cognitive burden while maintaining the core text detection functionality.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20240386716A1Techniques for detecting text

Publication Date: 2024.11.21 APPLE INC

AI summary

The present disclosure generally relates to detecting text. The present disclosure describes at least methods for managing a text detection mode, identifying targeted text, and managing modes of a computer system.