Multi-Camera Text-to-Braille Conversion System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Visually impaired individuals face limited access to printed texts due to the decline in Braille usage, as only a small percentage of texts are available in Braille, and existing technologies do not effectively enable reading of paper books using refreshable Braille displays.
Innovation Solution
A text-to-Braille service that includes an imaging module with multiple cameras capturing different portions of a page, combining images for optical character recognition, and converting text into Braille characters for display on a refreshable Braille display, allowing visually impaired individuals to read printed materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are used to capture different portions of a page, then the area of text that can be imaged is improved, but the device complexity increases
Solution Approach 1:
The imaging module is segmented into multiple cameras, each capturing a specific portion of the page. This segmentation allows the system to cover a larger text area by dividing the imaging task across multiple camera units, with each camera responsible for a discrete field of view.
Solution Approach 2:
Multiple images captured by different cameras are merged into a single composite image through image processing. This combining process integrates the separate fields of view into a unified representation of the entire page, enabling comprehensive text capture while managing the complexity through automated processing.
2Adaptability or versatility
If screen reader software is used to convert text to Braille, then the accessibility of digital text is improved, but the ability to read printed paper books is lost
Solution Approach 1:
The system introduces an intermediary process that bridges printed text and Braille display. The imaging module captures printed text, OCR software converts it to digital format, and then screen reader software translates it to Braille. This intermediary chain enables printed books to be accessed through refreshable Braille displays, extending accessibility beyond native digital text.
Solution Approach 2:
The system achieves multi-functionality by combining imaging, OCR, and screen reader capabilities into a unified solution. This universal system can handle both digital text (through direct screen reader access) and printed text (through imaging and OCR conversion), making the Braille display adaptable to multiple text sources and formats.
Data Source
AI summary
A text-to-Braille service is disclosed herein that includes an imaging module. The imaging module includes multiple cameras arranged to image part of a page of text. Each camera has a different field of view of the page, so each camera images a unique portion of the page. The multiple images can be combined to form a single image upon which optical character recognition is performed. The text of the page can be converted into Braille characters and displayed on a refreshable Braille device.