Non-Visible Facial Recognition for Ambient Light Interference
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Solution Overview
Problem
Traditional biometric access control systems face challenges such as limited effectiveness in varying light conditions, increased false acceptance and rejection rates, and difficulties in capturing facial features due to environmental factors, leading to inaccurate identity verification.
Innovation Solution
A biometric system utilizing non-visible light (infrared or ultraviolet) to penetrate the dermis and capture subdermal facial features, combined with a layered reinforcement method to analyze facial uniqueness, and a gateway to manage data for improved accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional biometric sensors use visible light for facial recognition, then the system can operate in various environments, but the performance is compromised in direct sunlight due to glares, shadows, and ambient lighting artifacts
Solution Approach 1:
The patent introduces an intermediary substance (powder or liquid) applied to the skin surface that modifies the optical properties of the facial skin. This intermediary layer interacts with the biometric sensor to enhance the detection of subdermal features while reducing the impact of ambient lighting interference, thereby resolving the contradiction between reliability and environmental sensitivity
Solution Approach 2:
The patent changes the optical parameters of the skin surface by applying a substance with different refractive index or scattering properties. This parameter change enhances the contrast of subdermal features and reduces glare and shadow artifacts, improving biometric recognition accuracy in various lighting conditions including direct sunlight
2Measurement precision
If traditional biometric sensors capture facial features using standard imaging, then the system is simple to implement, but the features are obscured by ambient lighting, camera quality, and positioning factors
Solution Approach 1:
The patent applies an intermediary substance as a mediator between the facial skin and the imaging system. This substance enhances the optical contrast of subdermal features, allowing standard cameras to capture more accurate facial biometric data without requiring complex imaging systems or controlled environments
Solution Approach 2:
The patent replaces complex mechanical imaging systems with a simpler chemical-optical solution. Instead of using high-cost cameras with sophisticated image processing, the system uses a readily applicable substance that enhances feature visibility, making the measurement process more accessible and less complex
3Reliability
If the system uses non-visible light to penetrate the dermis and capture subdermal features, then identity verification accuracy is enhanced, but the device complexity and cost increase
Solution Approach 1:
The patent segments the verification process into two independent parts: a simple, readily available substance application step and a standard optical detection step. This segmentation allows the system to achieve enhanced accuracy through the substance-enhanced optical properties rather than requiring complex non-visible light penetration technology
Solution Approach 2:
The patent uses an intermediary substance as a mediator to bridge the gap between standard optical sensors and the skin. This substance enables standard cameras to detect subdermal features that would otherwise be invisible, eliminating the need for complex non-visible light sources while maintaining enhanced verification 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
Enhances identity verification by reducing false positives and negatives, allowing for secure, keyless access with a single credential system, and supporting both logical and physical gateways.
Implementation Method 1
utilizing non-visible light (infrared or ultraviolet) to penetrate the dermis and capture subdermal facial features
Implementation Method 2
utilizing non-visible light (infrared or ultraviolet) to penetrate the dermis and capture subdermal facial features
Data Source
AI summary
Aspects of the present disclosure include methods for generating a sampled profile including a plurality of sampling points having a plurality of characteristic values associated with the detected non-visible light, identifying one or more macroblocks each includes a subset of the plurality of sampling points, calculating a number of occurrences of the local pattern value within each subset of the plurality of the sampling points for each of the one or more macroblocks, generating a first array including a plurality of weighted values by calculating the plurality of weighted values based on the numbers of occurrences of the local pattern value and corresponding sizes of the one or more macroblocks, assigning a unique index to each of the plurality of weighted values, generating a second array of the unique index by ranking the plurality of weighted values, and generating a third array including a plurality of ranking distances.