Visual Aid Display Device for Real-Time Visual Impairment Correction
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Solution Overview
Problem
Conventional visual aid devices are inadequate in providing transformed images for users with low vision, as they fail to effectively correct visual impairments such as low vision, color blindness, metamorphopsia, central scotoma, and tunnel vision, limiting the user's ability to recognize objects and navigate through complex environments.
Innovation Solution
A display device equipped with a camera, processor, and memory that captures images and transforms them based on user-specific visual condition information, including type and degree of visual impairment, to enhance object recognition by adjusting contrast, color, and display location, thereby providing a clearer visual experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional visual aid devices are used, then device simplicity is maintained, but visual impairment correction effectiveness deteriorates
Solution Approach 1:
The device segments the visual correction task into multiple specialized processing modules: contrast enhancement module, color correction module, distortion correction module, and magnification module. Each module addresses a specific visual impairment type, allowing the system to provide comprehensive correction while maintaining manageable complexity through functional decomposition.
Solution Approach 2:
The system dynamically changes multiple image processing parameters including contrast ratios, color balance values, distortion correction coefficients, and magnification levels based on the user's specific visual condition. This allows the device to adapt to different impairment types and severities, significantly improving correction effectiveness while the parameters can be adjusted through a unified control interface.
2Measurement precision
If real-time image transformation is implemented, then object recognition ability is improved, but processing time increases
Solution Approach 1:
The device performs preliminary analysis of the captured image to identify key objects and regions of interest before applying full transformation processing. By pre-processing the image to detect edges, contours, and significant features, the system can then apply targeted transformations only to relevant areas, improving object recognition while reducing overall processing time.
Solution Approach 2:
The system applies partial transformation to the entire image rather than processing every pixel uniformly. It focuses computational resources on transforming specific regions containing objects of interest, using excessive processing only where necessary for accurate object recognition, thereby optimizing the balance between recognition ability and processing time.
3Adaptability or versatility
If multiple visual condition corrections are applied, then adaptability to different users is improved, but system complexity increases
Solution Approach 1:
The device is designed as a universal visual aid system that can handle multiple types of visual impairments (low vision, color blindness, metamorphopsia, central scotoma, tunnel vision) through a single integrated platform. The same hardware and basic software architecture support all correction types, with modular correction algorithms that can be activated based on user needs, thereby achieving high adaptability without proportionally increasing system complexity.
Solution Approach 2:
The system incorporates feedback mechanisms where the user can provide input about their visual preferences and correction effectiveness. This feedback is used to automatically adjust transformation parameters and select appropriate correction algorithms, reducing the need for complex manual configuration and making the system more adaptable to individual users while keeping the control interface simple.
Data Source
AI summary
A display device and an operating method thereof are provided. The display device may include: a display; a camera; a memory configured to store one or more instructions; and a processor configured to execute the instructions to obtain an image captured by the camera, transform the image based on visual condition information of a user, the visual condition information including information about a type of visual impairment of the user, and display the transformed image on the display.