Mobile Device Identity Verification for Vehicle Access
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Solution Overview
Problem
Current passive entry/passive start (PEPS) systems and mobile device identification systems face challenges in accurately verifying the identity of individuals using mobile devices for vehicle access and property entry, particularly in preventing unauthorized access and re-entry by ticket holders or users.
Innovation Solution
A mobile device-based identification system that includes a display, scanning module, identity module, and checking module to output user data, determine an identity identifier, and approve or deny actions based on the scanned feature and user data, using a combination of sensors and communication protocols like BLE to authenticate users and manage access to vehicles and properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If PEPS systems use signal strength from vehicle antennas to estimate key fob location, then vehicle access can be granted, but unauthorized access and identity verification accuracy deteriorate
Solution Approach 1:
The patent introduces a mobile device as an intermediary between the user and the vehicle access system. The mobile device captures biometric data (fingerprints, facial recognition) and transmits it to the vehicle's PEPS system, serving as a trusted mediator that enhances verification accuracy while maintaining ease of access. This resolves the contradiction by adding a verification layer without complicating the user experience.
Solution Approach 2:
The patent replaces traditional mechanical key-based access systems with electronic and biometric verification systems. Instead of relying solely on physical key presence and signal strength, the system uses electronic communication between mobile device and vehicle, combined with biometric data, to verify identity. This substitution improves measurement precision while maintaining ease of operation through contactless access.
2Measurement precision
If mobile device identification systems use multiple types of user data, then identity verification accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the identification system into distinct functional modules: a mobile device module that collects and transmits user data, a vehicle module that receives and processes data, and a PEPS control module that makes access decisions. This segmentation manages complexity by distributing functions across separate components while maintaining high verification accuracy through comprehensive data collection.
Solution Approach 2:
The mobile device serves multiple functions within the system: it acts as a biometric sensor, a communication interface, and a data transmission device. By consolidating these functions into a single universal device rather than requiring separate components for each function, the system achieves high verification accuracy without proportionally increasing overall system complexity.
3Reliability
If the system aggregates multiple user data types from mobile devices, then unauthorized access prevention improves, but data processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary data aggregation and verification on the mobile device before transmission to the vehicle. The mobile device pre-processes biometric data and user information, validating and organizing it beforehand. This preliminary action reduces the processing burden on the vehicle system while maintaining high reliability in unauthorized access prevention.
Solution Approach 2:
The mobile device acts as an intermediary that handles complex data aggregation and preprocessing tasks. It collects multiple types of user data, performs initial verification, and transmits only essential verified information to the vehicle system. This intermediary approach enhances security reliability while managing data processing requirements through distributed computation.
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
This system effectively verifies user identities with high accuracy, preventing unauthorized access and ensuring secure entry into vehicles and properties by utilizing aggregate user data from mobile devices, such as serial numbers, accounts, and location information, thereby enhancing security and preventing ticket fraud.
Implementation Method 1
a scanning module configured to scan the feature and to generate an output based on the feature
Data Source
AI summary
An identification system for a property includes: a mobile device including a display and configured to: selectively output a feature during execution of an application; and transmit user data stored on the mobile device; a scanning module configured to scan the feature and to generate an output based on the feature; an identity module configured to, based on the user data, determine an identity identifier indicative of an identity of a user of the mobile device; and a checking module configured to one of approve and deny an action based on: the output generated based on the feature; and the identity identifier indicative of the identity of the user of the mobile device.