Vehicle N-Factor Authentication via Sensor Body Movement Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current transportation systems face challenges in automating access verification, as traditional methods like keys or fobs can be lost or fail, and are cumbersome to carry, necessitating a more efficient and secure authentication method.
Innovation Solution
Implementing n-factor authentication using sensors on vehicles to detect body movements and require additional actions, such as voice prints, to verify the association of individuals with the transport, enabling secure and convenient access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods like keys or fobs are used, then access verification is simple, but they can be lost or fail and are cumbersome to carry
Solution Approach 1:
The patent replaces mechanical authentication systems (physical keys and fobs) with a sensor-based detection system that uses optical, acoustic, or electromagnetic sensors to detect body movements and perform authentication, eliminating the need to carry physical objects
Solution Approach 2:
The authentication system automatically detects body movements and performs verification without requiring the user to manually present or manipulate any authentication device, making the process self-service and more convenient
2Reliability
If n-factor authentication using sensors is implemented, then security is improved, but device complexity increases
Solution Approach 1:
The transport's existing sensors (optical, acoustic, or electromagnetic) are made multi-functional by using them not only for their original purposes but also for detecting body movements and performing authentication, thereby adding security functionality without requiring entirely separate dedicated authentication hardware
Solution Approach 2:
The authentication system merges multiple detection modalities (optical detection, acoustic detection, or electromagnetic detection) into a unified authentication process, combining these functions rather than implementing them as separate independent systems
Data Source
AI summary
An example operation includes one or more of determining, via a transport, that a person seeks access to the transport, visually indicating, via the transport, an action for the person to perform, receiving, via the transport, the action and validating, via the transport, that the person is associated with the transport, based on the receiving.