Drone Biometric Authentication When Verbal Login Is Not Possible
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Solution Overview
Problem
Autonomous drones face challenges in authenticating users in situations where primary authentication methods are impractical, such as in public spaces, when individuals have health issues, or when privacy concerns exist, leading to unreliable or insufficient authentication.
Innovation Solution
A drone authentication system equipped with sensors, including imaging and biometric sensors, that autonomously navigates to interact with individuals, determines the need for authentication, and employs secondary authentication methods when primary responses are unattainable, using sensor data to verify user identity and provide services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If primary authentication methods (verbal username and password) are used, then authentication reliability is improved, but accessibility and ease of operation deteriorate in situations where individuals cannot provide verbal authentication
Solution Approach 1:
The patent introduces biometric sensors (acoustic, imaging, biometric) as intermediaries to authenticate users who cannot provide verbal authentication. These sensors capture physiological data (voice patterns, facial features, biometric characteristics) and transmit them to the drone's processor for verification, enabling authentication for individuals with medical conditions or in private situations without requiring traditional verbal credentials.
Solution Approach 2:
The patent replaces the mechanical/verbal authentication system with sensor-based detection systems. Instead of relying on acoustic sensors alone for voice authentication, the system incorporates imaging sensors and biometric sensors to detect and process visual and physiological characteristics, substituting the need for active verbal participation with passive biometric detection.
2Reliability
If primary authentication is required for all users, then security is improved, but service accessibility deteriorates for individuals unable to provide authentication
Solution Approach 1:
The patent implements a dynamic authentication system that adapts its requirements based on individual user conditions. The drone's processor evaluates whether a user can provide primary authentication and automatically selects appropriate verification methods - using biometric sensors for users who cannot provide verbal authentication, thereby maintaining security while accommodating diverse user needs and situations.
Solution Approach 2:
The system changes the authentication parameters from fixed (verbal username and password only) to variable (multiple authentication methods including biometric data, imaging data, and acoustic data). This allows the authentication threshold and method to be adjusted based on the user's capability and the situation, maintaining security while improving accessibility.
3Adaptability or versatility
If multiple authentication methods are implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent integrates multiple sensor types (acoustic sensors, imaging sensors, biometric sensors) into a single multi-functional authentication system. These sensors can operate independently or in combination, allowing the same hardware infrastructure to support multiple authentication methods (voice recognition, facial recognition, biometric verification) without requiring separate systems for each method.
Solution Approach 2:
The patent combines multiple sensor systems and authentication methods into a unified processing framework. The drone's processor integrates data from acoustic, imaging, and biometric sensors, merging these different data streams into a single authentication decision process, thereby reducing the operational complexity despite the presence of multiple authentication capabilities.
Data Source
AI summary
Systems and methods for authenticating a user include monitoring a monitored space for a condition to provide an interaction between a drone and an individual. In response to the condition to provide the interaction between the drone and the individual being satisfied, the drone may obtain a first set of sensor data corresponding to the individual. The first set of sensor data may indicate that the individual requires a service that requires authentication of the individual as a user of the service and that the individual is unable to provide a primary authentication response. The drone may then obtain a second set of sensor data corresponding to the individual unable to provide the primary authentication response. The drone authentication system then determines, based on the second set of sensor data and identity data that the individual corresponds to identity data of a user of the service and performs the service.


