Infrared Corneal Authentication for AI-Spoofed Video Calls
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Solution Overview
Problem
The increasing use of generative artificial intelligence poses a challenge in authenticating users in video communication sessions, as AI-generated images can impersonate human users to obtain personal or confidential information, necessitating a reliable method to confirm the user's humanity.
Innovation Solution
Infrared light-based authentication using charge-coupled devices (CCDs) to capture reflections from a user's cornea, analyzing the unique patterns and variations to verify the user's identity, distinguishing between human and AI impersonators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used, then user convenience is maintained, but reliability against AI impersonation deteriorates
Solution Approach 1:
The patent replaces traditional mechanical or software-based authentication methods (passwords, facial recognition) with infrared optical authentication. The system uses infrared light to illuminate the cornea and captures reflection patterns using a camera, substituting physical biometric properties for digital authentication mechanisms. This provides immunity against AI-generated visual impersonation while maintaining user convenience.
Solution Approach 2:
The patent changes the authentication parameter from visual appearance (which can be replicated by AI) to infrared optical properties of the cornea. By using infrared light wavelength and analyzing corneal reflection patterns in the infrared spectrum, the system accesses biometric parameters that are not replicable by AI-generated images, thereby improving reliability without significant complexity increase.
2Reliability
If infrared authentication is implemented, then authentication reliability improves, but device complexity increases
Solution Approach 1:
The system automatically captures infrared images of the user's cornea during the authentication process without requiring manual user actions. The camera and infrared light source work together to automatically illuminate and capture the corneal reflection pattern, and the processing system automatically analyzes the captured data. This self-service approach maintains ease of operation while implementing reliable infrared authentication.
3Adaptability or versatility
If AI-generated images are allowed, then communication accessibility is improved, but security against impersonation deteriorates
Solution Approach 1:
The patent introduces an intermediary authentication mechanism (infrared corneal reflection analysis) between the user and the communication system. This intermediary layer verifies the authenticity of the user before allowing communication, acting as a mediator that permits legitimate users (including those using AI-generated images for accessibility) while blocking impersonators. The infrared authentication serves as a trusted intermediary that resolves the conflict between accessibility and security.
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
Provides reliable authentication by leveraging the uniqueness of human corneas, effectively differentiating between genuine users and AI-generated imposters, ensuring secure video communication sessions.
Implementation Method 1
the image data may include infrared light reflected off a cornea of a user associated with the at least one computing device
Data Source
AI summary
Arrangements for authenticating users using infrared light are provided. A computing platform may detect an initiated video communication session between two or more computing devices. In response, a prompt to initiate authentication via an infrared authentication device may be transmitted to at least one computing device. The computing platform may receive, from the at least one computing device, image data captured by an image capture device of the at least one computing device which may include infrared light reflected off a user. The computing platform may analyze the image data to generate an authentication output based on the infrared light reflected off the user. A notification of the authentication output may be transmitted to the at least one computing device and, if the authentication output indicates the user is not authenticated, the computing platform may transmit a command or instruction causing the communication session to terminate.