Imaging Device Document Translation via Server
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Solution Overview
Problem
Language barriers in multi-cultural environments, such as schools and industries, lead to ineffective communication due to the lack of efficient translation systems for documents, which can result in misinterpretation and legal concerns, especially when using optical character recognition (OCR) methods that are time-consuming and not always accurate.
Innovation Solution
An imaging device connected to a server that processes documents by receiving a message and output language, transmitting the message for translation, and adding the translation to the document, either on a separate page or integrated with the original content, allowing for efficient communication across different language backgrounds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If OCR is used to detect and translate text on pre-printed documents, then translation capability is provided, but the process becomes time-consuming and may fail when text is indiscernible
Solution Approach 1:
The system performs preliminary actions by capturing the document image before any text recognition or translation is needed. The image is stored and processed only when translation is required, avoiding the time-consuming OCR process for every document handling operation.
Solution Approach 2:
The invention extracts only the necessary visual information (image of the document) rather than attempting to recognize and translate all text. This extraction approach bypasses the limitations of OCR while preserving the document's content for later translation if needed.
2Adaptability or versatility
If OCR is used to recognize and translate full document content, then translation is provided, but accuracy decreases when text is indiscernible
Solution Approach 1:
The system introduces an intermediary approach by using image capture as a mediator between the document and translation processes. Instead of directly converting text through OCR, the document is first converted to an image format that preserves all visual information, which can then be processed by more robust image-based translation methods.
Solution Approach 2:
The invention creates a visual copy (image) of the document that preserves the original content without the limitations of text recognition. This copy can be stored, reproduced, and translated with higher accuracy since it maintains the visual integrity of the original document including any indiscernible text.
3Adaptability or versatility
If manual OCR processing is performed for multiple languages, then broad language support is provided, but the process becomes extremely time-consuming
Solution Approach 1:
The system replaces the mechanical OCR process with an image-based processing approach. Instead of using optical character recognition mechanisms that require text detection and conversion, the system works directly with document images that can be translated more efficiently through image processing and translation technologies.
Solution Approach 2:
The invention creates a universal document processing system that handles multiple languages and document types through a single image-based approach. This multi-functional system can process any document regardless of language or text quality without requiring separate OCR configurations for each language.
Data Source
AI summary
An imaging device and a method of processing a document at the imaging device which includes receiving a message associated with the document and an output language for the message, transmitting the message and the output language to a server communicatively connected to the imaging device, receiving from the server a translation of the message into the output language, and adding the translation to the document. An input language and an output language of the message associated with the document may be predetermined or may be received from a user of the imaging device.


