Acoustic Text Capture from Rendered Documents
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Solution Overview
Problem
Current methods for recording and retrieving information from read documents are inefficient, lacking convenience and flexibility, and often require physical media or unreliable scanning techniques.
Innovation Solution
A system that captures text from rendered documents using handheld scanners or audio devices, processing the data to identify electronic counterparts, allowing for retrieval, annotation, and integration of digital functionality without altering existing document processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional scanning methods are used to capture document information, then text can be extracted from rendered documents, but the process is unreliable and requires physical media
Solution Approach 1:
The patent replaces traditional mechanical scanning systems with acoustic field-based recognition. Instead of using physical scanners that require contact with document surfaces, the system uses acoustic waves to capture and recognize text, eliminating the need for mechanical scanning hardware and improving both reliability and convenience.
Solution Approach 2:
The patent introduces an acoustic field as an intermediary between the user and the document information. The acoustic waves serve as a mediator that can penetrate and capture text data without requiring physical contact or traditional scanning mechanisms, thereby improving operational ease while maintaining reliability.
2Adaptability or versatility
If physical media are used to record document information, then information can be stored, but the system lacks flexibility and requires additional physical components
Solution Approach 1:
The patent creates acoustic copies of document information that can be stored and transmitted without physical media. Instead of requiring physical storage devices, the system captures text as acoustic data that can be digitally replicated and stored, eliminating the need for physical media while enhancing flexibility and reducing device complexity.
Solution Approach 2:
The patent changes the physical state of information storage from physical media to acoustic field parameters. By encoding document information in acoustic wave parameters (frequency, amplitude, timing), the system achieves flexible digital storage without requiring physical components, thereby improving adaptability and reducing complexity.
3Productivity
If manual transcription methods are used to record information, then text can be captured, but the process is time-consuming and inefficient
Solution Approach 1:
The patent enables the system to automatically capture and recognize text through acoustic fields without requiring manual transcription. The acoustic recognition system performs the information extraction task autonomously, eliminating the need for human operators to manually type or transcribe text, thereby dramatically improving productivity and reducing time loss.
Solution Approach 2:
The patent replaces manual transcription processes with acoustic field-based automatic recognition. Instead of relying on human operators to physically write or type text, the system uses acoustic waves to directly capture and convert text data, eliminating the time-consuming manual process and significantly improving information capture efficiency.
Data Source
AI summary
A facility for storing a text capture data structure for a particular user is described. The data structure comprises a number of entries. Each entry corresponds to a text capture operation performed by the user from a rendered document. Each entry contains information specifying the text captured in the text capture operation.