Wearable Stereo Camera Alignment Using Guided Repositioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The ability of display free body wearable computing devices to capture desirable stereo images is impaired by conditions such as misalignment of cameras due to improper wearing, which affects the quality of computer-implemented services provided.
Innovation Solution
The device actively guides the user to modify the manner of wearing using sensory feedback, including audio cues, spatial audio, and haptic feedback, to reposition the device and improve image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the device is worn without strict alignment requirements, then ease of operation is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system performs preliminary calibration by capturing calibration images when the device is first worn, establishing reference data before normal operation begins. This preliminary action creates a baseline that allows subsequent operation without strict alignment requirements while maintaining image quality through software-based corrections.
Solution Approach 2:
The system continuously monitors camera alignment using captured images and provides real-time feedback through haptic actuators and audio outputs. This feedback loop detects misalignment conditions and guides the user to adjust the device position, thereby maintaining manufacturing precision requirements during operation without compromising ease of wearing.
2Manufacturing precision
If the device provides active guidance feedback, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The device performs self-calibration and self-correction by automatically analyzing captured images to detect alignment issues and providing guidance feedback without requiring external calibration tools or complex manual adjustment mechanisms. The system serves itself by using its own imaging capabilities to monitor and correct its positioning.
Solution Approach 2:
The system replaces complex mechanical alignment mechanisms with software-based image analysis and digital signal processing. Instead of using mechanical guides, physical markers, or complex adjustment mechanisms, the patent uses computational methods to detect and correct alignment issues, thereby reducing mechanical complexity while maintaining precision.
3Manufacturing precision
If calibration images are captured frequently, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The system performs partial calibration by capturing images at specific trigger events rather than continuously or at every possible opportunity. It uses selective sampling based on detected alignment conditions, capturing calibration images only when misalignment is detected or when environmental conditions suggest recalibration may be needed, thereby reducing time loss while maintaining precision.
Solution Approach 2:
The system dynamically adjusts calibration frequency based on changing operational parameters such as detected alignment deviations, environmental conditions, and usage patterns. When parameters indicate stable alignment, calibration frequency is reduced; when parameters suggest potential misalignment, calibration frequency increases automatically, optimizing the balance between precision and time efficiency.
Data Source
AI summary
Methods and systems for managing operation of a display free body wearable computing device are disclosed. The method may include obtaining a calibration stereo image when the display free body wearable computing device is identified to be used by a user. The method may also include screening the calibration stereo image for conditions that may impact an ability of the display free body wearable computing device to capture desirable stereo images. The conditions may include, for example, a degree of rotation of at least one image sensor of the display free body wearable computing device, a degree of vertical positioning alignment of the at least one image sensors, and presence of an obstacle in a field of view of the at least one image sensor. The method may also include actively guiding the user to reposition the at least one image sensor based on the identified condition.