Portable Reading Machine Gesture and Text Processing
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Solution Overview
Problem
Existing reading machines for visually impaired individuals are limited in their ability to efficiently process user gestures and recognize text in real-world contexts, requiring separate devices for gesture recognition and text recognition, which can be cumbersome and inefficient.
Innovation Solution
A portable reading machine that uses a combination of low and high-resolution image processing to detect user-initiated gestures and recognize text, allowing for efficient command input and navigation through documents using a single device with integrated cameras and computing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution image processing is used for text recognition, then text recognition accuracy is improved, but processing speed and responsiveness to user gestures deteriorate
Solution Approach 1:
The patent divides image processing into two separate processing paths: a low-resolution path for gesture detection and a high-resolution path for text recognition. This segmentation allows each path to be optimized independently, with gesture detection using faster low-resolution processing and text recognition using accurate high-resolution processing, thereby resolving the contradiction between speed and accuracy.
2Adaptability or versatility
If separate devices are used for gesture recognition and text recognition, then functionality is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent combines gesture recognition and text recognition capabilities into a single integrated device. The system uses a camera to capture images that are then processed through multiple algorithms simultaneously - gesture detection algorithms analyze hand movements while OCR algorithms recognize text. This merging eliminates the need for multiple separate devices while maintaining full functionality, directly addressing the contradiction between versatility and complexity.
3Productivity
If low resolution image processing is used for gesture detection, then processing efficiency is improved, but gesture recognition precision deteriorates
Solution Approach 1:
The patent applies different processing qualities to different aspects of the same input. Low-resolution processing is applied specifically to gesture detection where speed is prioritized, while high-resolution processing is applied to text recognition where accuracy is prioritized. This local differentiation of processing quality allows the system to optimize for the specific requirements of each function without compromising overall performance.
Data Source
AI summary
A portable reading machine that operates in several modes and performs image preprocessing to prior to optical character recognition. The portable reading machine receives a low resolution image and a high resolution image of a scene and processing the low resolution image to recognize a user-initiated gesture using a gesturing item that indicates a command from the user to the reading machine and the high resolution image to recognize text in the image of the scene, according to the command from the user to the machine.