Delegated Biometric Authentication for Meeting Room Access
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Solution Overview
Problem
Biometric authentication in meeting room devices is challenging due to distance and awkward positioning, leading to inaccurate captures and user discomfort.
Innovation Solution
A method involving a user device capturing a biometric image, which is then verified against an image captured by a collaboration device, using a two-step process to ensure accuracy and trustworthiness, with higher thresholds for the user device and lower for the collaboration device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is performed using only the collaboration device, then authentication security is maintained, but authentication accuracy deteriorates due to distance and positioning issues
Solution Approach 1:
The patent introduces a user device as an intermediary to capture high-quality biometric images up close, while the collaboration device acts as a mediator to verify these images against security policies. This two-device approach allows the system to benefit from both high-quality capture (improving accuracy) and centralized security verification (maintaining security).
Solution Approach 2:
The authentication process is segmented into two distinct functions: image capture by the user device and image verification by the collaboration device. This segmentation allows each device to perform its specialized function optimally - the user device captures high-resolution biometric data close to the user, while the collaboration device verifies authenticity against stored templates and security policies.
2Measurement precision
If the user device captures the biometric image, then authentication accuracy improves, but device trustworthiness deteriorates due to potential unauthorized access
Solution Approach 1:
The collaboration device serves as a trusted intermediary that verifies images captured by the potentially untrusted user device. It compares the captured image against stored biometric templates and applies security policies to determine authenticity, thereby maintaining system trustworthiness while allowing flexible capture options.
Solution Approach 2:
The system implements feedback through the verification process where the collaboration device provides authentication results back to the user device. This feedback mechanism ensures that even if the user device is compromised, the system can detect unauthorized access attempts through the verification step and prevent illegitimate authentication.
3Measurement precision
If the user stands close to the collaboration device for accurate capture, then biometric accuracy improves, but user convenience deteriorates due to awkward positioning
Solution Approach 1:
The system segments the capture and verification functions across two devices, allowing the user device to capture biometric images in convenient positions (even from a distance or at angles), while the collaboration device handles the verification. This eliminates the need for users to position themselves awkwardly close to the collaboration device.
Solution Approach 2:
Instead of requiring the user to move to where the collaboration device is located for accurate capture, the system inverts the approach by allowing the user device to capture images wherever the user conveniently positions it, then transmitting these images to the collaboration device for verification. This reverses the traditional spatial constraint model.
Data Source
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AI summary
Systems and methods may be used to authenticate a user using a first device (e.g., a collaboration device) and a second device (e.g., a device proximate to the collaboration device). For example, the first device may compare an authentication image of a user (captured by the second device) to an image captured by the first device (for example at a lower resolution or with a partial view). The user may be authenticated by the first device in response to identifying the user from the authentication image (e.g., by matching the authentication image to a reference image of the user) and determining a correlation between the authentication image and the captured image.