Bionic Lens Calibration via Replica Eye Model
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Solution Overview
Problem
Current bionic contact lenses lack accurate calibration, which hinders their performance and user experience in applications like AR/VR, where immersion and accuracy are crucial.
Innovation Solution
A system and method for calibrating bionic lenses using a replica human eye model with an image sensor and display to capture and analyze calibration images, determining intrinsic parameters like focal length and distortion, and generating compensation maps to correct for lens and biological eye distortions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bionic lenses are used for AR/VR applications, then user immersion is enhanced, but calibration accuracy is insufficient
Solution Approach 1:
The patent applies preliminary action by performing calibration procedures before actual AR/VR usage. A calibration pattern is displayed through the bionic lens, and the system captures and analyzes images of this pattern to determine intrinsic parameters (focal length, decentering, distortion) before the lens is used for its intended application, ensuring accurate calibration in advance
Solution Approach 2:
The patent replaces traditional mechanical calibration methods with an optical-computational approach. Instead of physically adjusting lens components, the system uses an onboard display to show calibration patterns, captures images through the lens, and computationally determines calibration parameters, substituting mechanical adjustment with optical display and image processing
2Manufacturing precision
If distortion compensation is implemented, then image accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by integrating the calibration and distortion compensation functionality directly into the bionic lens itself. The lens contains an onboard display, image sensor, and processor that work together to perform calibration and generate distortion maps autonomously, eliminating the need for external calibration equipment or complex external processing systems
Solution Approach 2:
The patent merges multiple functions into a single integrated system within the bionic lens. The display, image sensor, and processor are combined in one device, allowing the lens to simultaneously display calibration patterns, capture images, process the data, and generate distortion compensation maps, reducing overall system complexity while maintaining high image accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves the accuracy and user experience of bionic lenses by accurately calibrating their display and image formation, enhancing their performance in immersive technologies like AR/VR.
Implementation Method 1
light from the display is projected, along with light from the world, onto the user's retinas
Implementation Method 2
capturing by an image sensor a calibration image corresponding to light exiting the eye generated by the displayed calibration pattern reflecting from a retina of the eye
Data Source
AI summary
The present disclosure relates to calibration, customization, and improved user experiences for smart or bionic lenses that are worn by a user. The calibration techniques include detecting and correcting distortion of a display of the bionic lenses, as well as distortion due to characteristics of the lens or eyes of the user. The customization techniques include utilizing the bionic lenses to detect eye characteristics that can be used to improve insertion of the bionic lenses, track health over time, and provide user alerts. The user experiences include interactive environments and animation techniques that are improved via the bionic lenses.