Document Data Transfer via OCR and Gesture GUI
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Solution Overview
Problem
Existing graphical user interfaces (GUIs) for computers can be resource-intensive and prone to errors due to complex user interactions, particularly when transferring data from documents, which often requires manual typing and is cumbersome, especially when dealing with alphanumeric or numeric characters.
Innovation Solution
A computing device and method that utilizes a GUI to process documents, including images captured by a camera, to extract text characters using OCR, allowing users to define data transfer parameters through gestures, such as swiping and tapping, to generate and send data transfer signals efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual typing is used to input data from documents, then data transfer accuracy can be maintained, but user time and effort are significantly increased
Solution Approach 1:
The patent replaces the mechanical typing system with an optical recognition system (OCR). The camera captures an image of the document, and optical character recognition technology automatically converts the visual text into digital data, eliminating the need for manual keyboard input while maintaining data accuracy through automated recognition processes.
Solution Approach 2:
The system enables self-service data extraction where the document itself provides the data through optical recognition. The captured image is automatically processed to extract text and numerical information without requiring user intervention for typing, thereby reducing both time and effort while preserving data accuracy through automated verification.
2Manufacturing precision
If complex GUI interactions are required for data transfer, then precise control over the process is achieved, but ease of operation deteriorates
Solution Approach 1:
The patent extracts the essential data transfer functionality from complex GUI interactions. By using camera capture and automated OCR processing, the system removes unnecessary intermediate steps and control mechanisms, allowing users to simply capture a document image and automatically extract the required data without navigating complex menus or interfaces.
Solution Approach 2:
The system performs preliminary automated processing of the captured document image, including optical character recognition and data extraction, before presenting the extracted information to the user. This preliminary action reduces the subsequent user interaction needed, maintaining process control while simplifying the user experience.
3Reliability
If traditional data entry methods are used, then data security can be maintained through controlled input, but productivity is reduced
Solution Approach 1:
The patent replaces manual data entry with automated optical recognition and processing. The camera capture and OCR system automatically extract data from documents, eliminating manual typing while implementing security measures such as data validation, verification protocols, and controlled access to extracted information, thereby maintaining security while dramatically improving productivity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces errors and resource usage by enabling seamless data transfer from documents, allowing users to perform tasks like bill payments with reduced manual input, enhancing user experience and efficiency in data handling.
Implementation Method 1
The document may be a photo (image) captured by a camera on or coupled to the computing device
Implementation Method 2
The document image may be processed to determine the text characters such as by OCR
Data Source
AI summary
There is provided a computing device and method to perform a data transfer using a document. Data to define at least one parameter of a data transfer is defined from data in the document. The document may have text characters or images of text characters (or both) for the data. A GUI may display the document and receive input to identify the data and define the at least one parameter. The document image may be processed to determine the text characters such as by OCR. The document may be a photo (image) captured by a camera on or coupled to the computing device. A GUI may be defined to provide workflow to define the data transfer signal such as a message. Functionality to capture text characters from documents, particularly images, may be added to applications such as via a plug in or otherwise.