Multimodal Biometric System Long Distance Iris Face Capture
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Solution Overview
Problem
Existing iris biometric acquisition systems face challenges with stand-off distance, capture volume, and subject motion, requiring intrusive designs that are not scalable and limited to single biometric modalities, making them inefficient for capturing and processing images from multiple subjects at a distance.
Innovation Solution
A multimodal biometric system that combines iris and facial recognition, using multiple imaging systems with active illumination and advanced optics to capture and process images of both irises and faces from subjects at significant distances, allowing for simultaneous acquisition and tracking of multiple individuals within a large field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional iris acquisition systems are used, then iris biometric data can be captured, but the system is limited to single biometric modality and cannot process multiple subjects simultaneously
Solution Approach 1:
The patent merges multiple imaging systems (first imaging system for scene/face capture, second imaging system for iris capture) into a unified multimodal biometric system. This combination enables simultaneous acquisition of facial and iris data from multiple subjects, resolving the contradiction by integrating diverse biometric modalities while managing system complexity through coordinated control and processing architecture.
Solution Approach 2:
The system achieves multi-functionality by enabling a single integrated platform to perform multiple biometric acquisition tasks (face recognition, iris recognition, multi-subject tracking) that previously required separate systems. This universal approach allows the system to adapt to various biometric identification scenarios without requiring dedicated hardware for each modality.
2Ease of operation
If stand-off distance is increased for long distance acquisition, then subject privacy and intrusiveness are improved, but image resolution and acquisition accuracy deteriorate
Solution Approach 1:
The patent segments the imaging function into two specialized subsystems: a first imaging system for wide-area scene and face capture, and a second imaging system for dedicated iris capture. This segmentation allows each subsystem to be optimized for its specific function - the first system provides broad coverage and context at long distances, while the second system delivers high-resolution iris data when needed, thus maintaining both intrusiveness and precision.
Solution Approach 2:
The system introduces an intermediary processing architecture that coordinates between the two imaging systems and manages the transition from low-resolution distant capture to high-resolution biometric extraction. This intermediary layer enables the system to operate at long stand-off distances for privacy while maintaining the capability to acquire high-precision biometric data through coordinated multi-system operation.
3Adaptability or versatility
If capture volume is increased to include multiple subjects, then system versatility is improved, but image quality and resolution for individual subjects deteriorate
Solution Approach 1:
The patent divides the capture function into two specialized imaging systems with different field-of-view characteristics. The first imaging system provides wide-area coverage to capture multiple subjects simultaneously, while the second imaging system provides targeted high-resolution capture. This segmentation resolves the contradiction by allowing the system to maintain both multi-subject versatility and individual image quality through coordinated operation.
Solution Approach 2:
The system transitions from a single-dimensional capture approach to a multi-dimensional acquisition strategy by employing imaging systems with different spatial resolutions and field-of-views. This dimensional diversity enables the system to capture multiple subjects at long distances while maintaining the resolution needed for biometric identification, as each dimension (imaging system) contributes different spatial information.
4Measurement precision
If active NIR illumination is used for iris capture, then iris texture contrast is improved, but system complexity and energy consumption increase
Solution Approach 1:
The patent merges the active NIR illumination function into the existing second imaging system architecture, integrating the illumination source with the iris capture camera. This integration allows the system to benefit from enhanced iris texture contrast provided by NIR illumination while managing the added complexity through unified control of the illumination and imaging subsystems.
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
The system achieves high matching performance with fewer constraints, enabling scalable biometric identification at long distances and overcoming limitations of traditional iris acquisition systems by incorporating facial recognition for enhanced accuracy and robustness.
Implementation Method 1
At least one active illumination source is employed to actively illuminate the second biometric characteristic
Implementation Method 2
a second imaging system that captures a first image of the first biometric characteristic according to first photons reflecting from the first biometric characteristic
Data Source
AI summary
A system for multimodal biometric identification has a first imaging system that detects one or more subjects in a first field of view, including a targeted subject having a first biometric characteristic and a second biometric characteristic; a second imaging system that captures a first image of the first biometric characteristic according to first photons, where the first biometric characteristic is positioned in a second field of view smaller than the first field of view, and the first image includes first data for biometric identification; a third imaging system that captures a second image of the second biometric characteristic according to second photons, where the second biometric characteristic is positioned in a third field of view which is smaller than the first and second fields of view, and the second image includes second data for biometric identification. At least one active illumination source emits the second photons.