Remote Biometric Capture Using Adaptive Infrared Lighting
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Solution Overview
Problem
Existing biometric capture devices often require physical contact or close proximity, which is cumbersome and inefficient, especially when processing multiple individuals in motion, leading to slowdowns and reduced processing capacity.
Innovation Solution
An apparatus that adjusts environmental parameters such as light intensity and focus based on distance and subject speed to enable remote biometric capture, using a combination of facial and iris image sensors to enhance identification fidelity while subjects are moving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric capture devices require physical contact or close proximity, then identification reliability is improved, but processing speed and throughput deteriorate
Solution Approach 1:
The patent replaces contact-based mechanical biometric capture (fingerprint readers requiring physical contact) and close-proximity optical capture (iris scanners requiring user to stand very close) with remote biometric capture using cameras and image processing algorithms that can identify individuals from a distance, enabling continuous processing without physical contact or proximity constraints
Solution Approach 2:
The patent introduces image processing algorithms and computer vision techniques as intermediaries between the camera and the biometric identification system, enabling reliable identification from distance by processing facial images captured remotely rather than requiring direct contact or close proximity capture
2Measurement precision
If biometric capture devices require users to remain stationary, then measurement precision is improved, but processing capacity deteriorates
Solution Approach 1:
The patent transitions from static biometric capture (requiring users to remain stationary) to dynamic remote biometric capture that can track and identify individuals in motion, using camera systems and image processing algorithms that maintain identification accuracy even when subjects are moving through the processing area
Solution Approach 2:
The patent employs real-time image processing and tracking algorithms that provide feedback to adjust capture parameters and maintain focus on moving subjects, enabling continuous identification of individuals in motion rather than requiring them to remain stationary during capture
3Productivity
If remote biometric capture is implemented, then processing speed is improved, but identification reliability deteriorates
Solution Approach 1:
The patent adjusts various parameters including image resolution, lighting conditions, camera positioning, and processing algorithms to optimize remote biometric capture quality, maintaining identification reliability while enabling distance-based capture that improves processing speed
Solution Approach 2:
The patent performs preliminary image processing, preprocessing, and quality assessment before final identification to ensure reliable results from remote captures, preparing and validating images in advance to maintain accuracy despite distance-based capture challenges
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
Enables high-fidelity biometric identification of individuals in motion with improved efficiency and capacity, surpassing traditional methods by achieving identification rates of one in ten million for facial recognition and one in ten thousand for contact-based fingerprint scanning.
Implementation Method 1
the biometric is a retinal scan or an iris scan and the environmental parameter is an intensity of infrared light
Implementation Method 2
a detector configured to detect a distance from the detector to a subject
Data Source
AI summary
A biometric capture device is operative to adjust one or more environmental parameters to enhance a range (e.g., distance) at which a biometric may be captured from a subject. For example, a sample biometric capture device may be, include, or otherwise incorporate a retinal or iris scanner configured to capture an image of the retina or iris (e.g., a biometric) when the retina or iris is illuminated by infrared light. Generally, the amount of infrared light required to accurately image the retina or iris increases with the distance of the subject's retina or iris from the image capture device. The biometric capture device may capture a facial image using a first image sensor, identify a face in the facial image, capture an iris image using a second image sensor guided by the facial image, and identify a person using the iris image.


