MEMS-Assisted Facial Authentication for Misidentification Prevention
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Solution Overview
Problem
Existing facial authentication systems are prone to misuse due to misidentification or unauthorized use, particularly when a user moves away during authentication or a nearby person's face is mistakenly recognized, leading to authentication issues.
Innovation Solution
A system that combines IoT cameras and microelectromechanical devices to track user interactions with items within an environment, using facial recognition and provenance detection to verify user identity and ensure genuine interactions, preventing misuse by correlating user identity with item selections and detecting deepfake faces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If facial recognition is used for authentication, then authentication speed is improved, but authentication reliability deteriorates due to misidentification or unauthorized use
Solution Approach 1:
The system performs preliminary actions by tracking user movements and item selections before the authentication moment. Microelectromechanical devices continuously monitor the user's interactions with items in the environment, creating a preliminary record of authorized actions. This preliminary tracking ensures that when authentication occurs, the system already has contextual information to verify the user's identity, thereby maintaining both speed and reliability.
Solution Approach 2:
The system implements feedback by continuously monitoring user interactions through microelectromechanical devices and comparing them with authentication data. The devices provide real-time feedback on item selections and user movements, which is fed back to the authentication system. This closed-loop feedback mechanism enhances reliability by verifying that the authenticated user is the one performing the tracked actions, while maintaining authentication speed through automated comparison processes.
2Measurement precision
If microelectromechanical devices are deployed for tracking, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system replaces complex mechanical tracking systems with microelectromechanical devices that use electromagnetic and optical principles. Instead of bulky mechanical sensors, the patent employs微型 electromechanical devices that can track user interactions with high precision while occupying minimal space. This substitution reduces overall system complexity while maintaining or enhancing measurement precision for tracking user movements and item selections.
Data Source
AI summary
A system for user authentication during a first session receives first images depicting a first user from first cameras deployed across an environment, determines a first user identity of the first user, transmits the first user identity to microelectromechanical devices deployed across the environment, determines items are selected by the first user based on signals from the microelectromechanical devices, generates a first user profile including the item identifications of the selected items, annotates the first user profile with the first user identity and a first session identifier of the first session, receives an authentication request at an authentication device for an interaction associated with the first user profile, accesses second images depicting a user face from second cameras of the authentication device, determines a second user identity of the user face, and approves the interaction if second user identity matches the first user identity or declines the interaction if otherwise.