Multi-Modal Biometric Access Control Device
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Solution Overview
Problem
Conventional access control systems rely on single biometric signals, which are limited in accuracy and convenience, as they often require clean fingerprints or specific conditions for iris scanners and hand geometry measurements, leading to prolonged authentication times and reduced user experience.
Innovation Solution
A multi-factor multi-biometric access control device that concurrently collects and analyzes dissimilar biometric signals such as appearance, size, color, behavior, and physiology using a single imaging system, combined with knowledge and possession authentication, to provide a robust and convenient authentication method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single biometric signals are used for access control, then device complexity is reduced, but authentication accuracy and reliability deteriorate
Solution Approach 1:
The patent combines multiple dissimilar biometric signals (facial recognition, hand geometry, iris scanning, fingerprint sensing) into a single integrated access control device. This merging of multiple biometric modalities allows the system to maintain low device complexity while significantly improving authentication accuracy and reliability through multi-factor verification.
Solution Approach 2:
The access control device is designed with universal multi-functionality, incorporating multiple biometric sensing capabilities (facial, hand, iris, fingerprint) within a single device. This enables the system to authenticate users through various biometric modes depending on environmental conditions and user needs, thereby improving reliability without requiring multiple separate devices.
2Measurement precision
If clean fingerprints or specific conditions are required for biometric scanning, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system dynamically adapts its biometric authentication requirements based on environmental conditions and signal quality. When lighting conditions are poor for facial recognition, the system can switch to or combine with hand geometry or fingerprint scanning. This dynamic adaptability maintains measurement precision across varying conditions while preserving ease of operation by automatically selecting the most suitable biometric mode.
Solution Approach 2:
The patent changes the operational parameters of different biometric sensors based on environmental conditions. For example, the system can adjust illumination parameters for facial scanning, modify sensor sensitivity for hand geometry, or switch between different fingerprint scanning modes. This parameter adaptation ensures high measurement precision regardless of external conditions while maintaining user convenience through automatic adjustment.
3Reliability
If multiple biometric signals are collected and analyzed, then authentication reliability is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple biometric sensing functions into a single integrated device with a unified processing architecture. By combining facial recognition, hand geometry, iris scanning, and fingerprint sensing capabilities within one device structure, the system improves authentication reliability through multi-factor verification while avoiding the complexity of coordinating multiple separate devices and systems.
Data Source
AI summary
Provided are a device, system, and method for multi-factor multi-biometric access control that authenticate a user based on at least one of what the user knows, what the user possesses and what unique physical, biological and physiological or biometric traits the user has, wherein the device includes a single sensor from which multi-biometric data is derived.