Multi-Wavelength Biometric Imaging Illumination Control
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Solution Overview
Problem
Conventional eye tracking and biometric authentication systems face challenges in adapting to varying user conditions, lighting, and optical complexities, leading to suboptimal image quality and reduced authentication accuracy.
Innovation Solution
The implementation of flexible illumination methods using multiple wavelengths and adaptive lighting configurations, combined with multiple cameras and optical elements, to optimize image capture and processing for biometric authentication and gaze tracking, addressing issues of shadows, reflections, and pose variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single wavelength illumination source is used, then the device complexity is reduced, but the image quality and authentication accuracy deteriorate under varying lighting conditions and user poses
Solution Approach 1:
The patent combines multiple wavelength illumination sources (e.g., 850nm and 940nm LEDs) into a single illumination system that can emit multiple wavelengths simultaneously or sequentially. This merging approach improves authentication accuracy by capturing both iris texture and anti-spoofing information, while maintaining relatively simple device architecture through integrated multi-wavelength LED arrays.
Solution Approach 2:
The illumination system is designed to perform multiple functions using multiple wavelengths: 850nm wavelength captures iris texture for authentication, while 940nm wavelength detects spoofing attempts. This multi-functionality allows a single system to handle both authentication and security verification, improving overall measurement precision without proportionally increasing device complexity.
2Measurement precision
If adaptive lighting configurations are implemented, then image quality improves under challenging conditions, but the device complexity and control mechanisms increase
Solution Approach 1:
The system dynamically adjusts illumination wavelengths and intensities based on detected eye pose, lighting conditions, and authentication stage. The controller selectively activates specific wavelengths (e.g., switching between 850nm and 940nm) and adjusts intensities to optimize image quality for different scenarios, making the system adaptable without requiring completely separate illumination systems for each condition.
Solution Approach 2:
The system uses feedback from initial image capture and pose detection to automatically adjust subsequent illumination parameters. Based on detected eye position, lighting conditions, and preliminary image quality assessment, the controller modifies wavelength selection and intensity levels to optimize authentication image quality, reducing the need for manual configuration while improving measurement precision.
3Reliability
If multiple wavelengths are used for different algorithmic processing portions, then authentication robustness improves, but the illumination control complexity increases
Solution Approach 1:
The system performs preliminary assessment using one wavelength (e.g., 850nm for iris capture) before proceeding to secondary verification with another wavelength (e.g., 940nm for anti-spoofing). This staged approach using preliminary action improves authentication robustness by validating multiple characteristics, while keeping control complexity manageable through sequential rather than simultaneous multi-wavelength operation.
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
This approach enhances the performance and robustness of imaging systems by dynamically adjusting lighting and camera settings to achieve better image quality and accuracy in biometric authentication and gaze tracking, even under challenging conditions.
Implementation Method 1
the illumination source (e.g. a ring of LEDs) may be configured to emit light at two or more different wavelengths
Implementation Method 2
a camera may sequentially capture two or more images at different wavelengths
Data Source
AI summary
Methods and apparatus for flexible illumination in which two or more different wavelengths are used in the illumination system. An illumination source may be configured to emit light at two or more different wavelengths, either continuously or selectively. A method may be implemented in which a first wavelength is emitted for capturing an image or images for a first portion of algorithmic processing for biometric authentication, and a second wavelength is emitted for capturing another image or images for a second portion of algorithmic processing for biometric authentication. The camera may sequentially capture two or more images at different wavelengths. As an alternative, the camera may be configured to concurrently capture two or more images at different wavelengths.