Portable Reading Device Dual Camera Mode Processing
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Solution Overview
Problem
Existing reading machines for visually impaired individuals are limited in their ability to efficiently process and convey visual information, particularly in varying contexts and resolutions, which can impact the accuracy and speed of text recognition and navigation.
Innovation Solution
A portable reading device equipped with dual cameras for capturing low and high-resolution images, coupled with a computing device and a computer program that operates in multiple modes to optimize performance, allowing for gesture recognition, optical character recognition, and multi-channel auditory feedback, enabling users to navigate and read text in different environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single resolution image capture mode is used, then the device structure is simple, but the processing accuracy and speed cannot be optimized for different usage scenarios
Solution Approach 1:
The image capture system is segmented into two distinct camera modules: a first camera for low-resolution capture and a second camera for high-resolution capture. This segmentation allows each camera to be optimized for its specific resolution requirement, enabling accurate text recognition when high resolution is needed while maintaining simple operation for gesture detection using low resolution.
Solution Approach 2:
The reading device is designed with multi-functionality by integrating both low-resolution and high-resolution camera systems. The system can universally handle different usage scenarios: using low-resolution mode for gesture detection and navigation, and switching to high-resolution mode for accurate text recognition, making the device adaptable to various operational contexts.
2Measurement precision
If high resolution images are always captured, then text recognition accuracy is improved, but processing time and energy consumption increase
Solution Approach 1:
The system dynamically selects the appropriate camera based on the current operational mode. In gesture detection mode, the low-resolution first camera is activated for fast processing. When text recognition is required, the system switches to the high-resolution second camera. This dynamic adaptation optimizes processing time by avoiding unnecessary high-resolution capture when full resolution is not needed.
Solution Approach 2:
The image capture parameters are changed based on operational requirements. The system adjusts resolution parameters by selecting different camera modules: low-resolution parameters for gesture detection to minimize processing time, and high-resolution parameters for text recognition to ensure accuracy. This parameter adaptation resolves the contradiction between processing speed and recognition accuracy.
3Speed
If low resolution images are used for gesture detection, then processing speed is improved, but navigation accuracy may be reduced
Solution Approach 1:
The system segments the image processing tasks by function: the low-resolution first camera is dedicated to gesture detection where speed is critical, while the high-resolution second camera handles text recognition where accuracy is paramount. This functional segmentation allows optimized performance for each task without compromise.
Solution Approach 2:
The system uses an intermediary switching mechanism that routes appropriate tasks to appropriate camera modules. The control system acts as an intermediary, determining whether a low-resolution or high-resolution capture is needed based on the current operational context, thereby optimizing both speed and accuracy for different functions.
4Adaptability or versatility
If multiple camera modes are integrated, then functionality for different scenarios is improved, but device complexity increases
Solution Approach 1:
The reading device achieves universality by integrating multiple camera modes into a single system. The device can adapt to various operational scenarios including gesture detection, text recognition, and navigation by switching between low-resolution and high-resolution capture modes, providing versatile functionality without requiring separate devices for each function.
Solution Approach 2:
The system employs dynamic mode switching to manage complexity. Rather than operating all camera systems simultaneously, the control system dynamically activates only the required camera module based on current needs, reducing operational complexity while maintaining the versatility of having multiple capture capabilities available when needed.
Data Source
AI summary
A reading device includes a computing device and an image input device coupled to the computing device for capturing low resolution images and high resolution images. The reading machine also includes a computer program product residing on a computer readable medium. The medium is in communication with the computing device and includes instructions to operate in a plurality of modes to optimize performance for specific uses of the reading device and process low and high resolution images during operation of at least one of the plurality of modes.