Data Marking With Image Recognition for Accurate Text Copying
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Solution Overview
Problem
Users often face challenges in accurately copying digital text information from electronic devices to paper or other surfaces, leading to errors such as wrong lines, missed words, or repeated copying due to difficulty in confirming the exact position of the note during the copying process, especially with large paragraphs or numerous characters/numbers.
Innovation Solution
A data marking method and device that involves obtaining a to-be-recognized image, recognizing the data content, detecting it against the original display, and displaying markings to indicate accurate copying positions, using techniques like handwritten detection, standard font recognition, and semantic analysis to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users copy long paragraphs of text from screen to paper, then copying quantity increases, but copying accuracy decreases due to difficulty in confirming position
Solution Approach 1:
The system provides real-time feedback by detecting the copied text and comparing it with the original display content. When discrepancies are found (wrong lines, missed words, repeated copying), the system highlights the errors on the screen, allowing users to immediately identify and correct positioning mistakes during the copying process.
Solution Approach 2:
The patent replaces manual position confirmation with automated image processing and text recognition. The camera captures the copied text, the processor recognizes and compares it with the original display, eliminating the need for users to manually track their position throughout long copying tasks.
2Manufacturing precision
If users repeatedly confirm position during copying, then copying accuracy improves, but copying time increases
Solution Approach 1:
The system performs self-verification by automatically detecting and comparing the copied text with the original display content. This eliminates the need for users to repeatedly manually check their position, as the system independently monitors copying accuracy in real-time.
Solution Approach 2:
The patent substitutes manual position confirmation with automated image capture and text recognition processing. The camera and processor work together to automatically verify copying accuracy, replacing the time-consuming manual checking process with rapid automated detection.
3Manufacturing precision
If automated position confirmation is implemented, then copying accuracy improves, but device complexity increases
Solution Approach 1:
The system uses existing multi-functional components (camera for image capture, processor for text recognition and comparison, display for visual feedback) to achieve automated position confirmation. By making these components serve multiple functions, the patent avoids adding separate dedicated hardware for each function.
Solution Approach 2:
The patent introduces an intermediary processing layer that captures images, recognizes text, compares with original content, and provides visual feedback. This intermediary system coordinates the existing components (camera, display, processor) to work together seamlessly, managing complexity through a coordinated multi-component approach rather than requiring a single complex device.
Data Source
AI summary
A data marking method includes obtaining a to-be-recognized image that includes to-be-recorded data, the to-be-recorded data being displayed by a display apparatus, recognizing the to-be-recorded data in the to-be-recognized image, detecting the data content displayed by the display apparatus according to the to-be-recorded data, and displaying a marking according to a detection result.