Vision-Assist Camera Alignment via User Physical Characteristics
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Solution Overview
Problem
Vision assist devices for blind or visually impaired individuals face challenges in accurately detecting objects due to variations in user physical characteristics, which affect the alignment of image sensors, leading to incomplete or inaccurate image data capture.
Innovation Solution
A vision-assist device equipped with image sensors, a user input device, and a processor that adjusts the alignment of the image sensors based on user-provided physical characteristics, such as height and weight, to ensure accurate object detection and data capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image sensor alignment is fixed for a standard user configuration, then the device structure is simple and manufacturing is easy, but the object detection accuracy deteriorates for users with different physical characteristics
Solution Approach 1:
The patent changes the alignment parameters of the image sensor based on user physical characteristics. The system stores multiple alignment configurations corresponding to different user profiles (e.g., height, weight categories) and selects the appropriate configuration when a user profile is input, thereby adjusting the sensor alignment without adding complex mechanical adjustment mechanisms.
Solution Approach 2:
The patent makes the image sensor alignment dynamic by allowing it to be adjusted based on user input. The system can switch between different pre-defined alignment configurations or continuously adjust alignment parameters based on measured user physical characteristics, transforming a static alignment system into a dynamic one that adapts to different users.
2Reliability
If the image sensor alignment is adjusted for each user's physical characteristics, then the object detection accuracy is improved, but the device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing multiple alignment configurations corresponding to different user physical characteristics during the manufacturing process. Instead of building complex real-time adjustment mechanisms, the system prepares all necessary alignment settings in advance and simply selects the appropriate pre-configured alignment based on user input, significantly simplifying manufacturing while maintaining reliability.
Solution Approach 2:
The patent uses parameter changes to represent different alignment configurations as sets of adjustable parameters (such as rotation angles, offset positions) that can be stored in memory. This allows multiple alignment states to be implemented through software control rather than complex mechanical structures, making the device easier to manufacture while ensuring reliable image capture for different users.
3Adaptability or versatility
If multiple alignment configurations are stored for different user profiles, then the adaptability to different users is improved, but the memory requirements and processing complexity increase
Solution Approach 1:
The patent represents alignment configurations as compact parameter sets (such as a few angular and positional values) rather than storing complete calibration datasets. This parameter-based representation significantly reduces memory requirements while maintaining the ability to adapt to different user profiles. The system only needs to store the essential alignment parameters for each user category rather than extensive calibration data.
Solution Approach 2:
The patent implements partial action by storing alignment configurations for representative user profiles rather than attempting to account for every possible variation. The system covers the most common user physical characteristic ranges with pre-defined configurations, providing sufficient adaptability for the majority of users without requiring excessive memory resources for comprehensive coverage of all edge cases.
Data Source
AI summary
A vision-assist device may include at least one image sensor for generating image data corresponding to an environment, a user input device for receiving user input regarding one or more physical characteristics of a user, and a processor. The processor may be programmed to receive the image data from the at least one image sensor, receive the user input from the user input device, and adjust an alignment of the at least one image sensor based on the received image data and the user input. Methods for aligning an image sensor are also provided.