Mobile Geofencing Authentication Using Dual Cameras and GPS
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Solution Overview
Problem
Existing systems fail to simultaneously verify the identity and location of mobile device users, leading to security vulnerabilities in sensitive transactions and access to secure areas.
Innovation Solution
A system utilizing a mobile device with dual cameras and GPS to capture user and environmental images, along with location metadata, which are transmitted to a remote processor for correlation with trusted geofenced areas, ensuring identity and location verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used, then the authentication process is simple, but the security level and fraud prevention capability are insufficient
Solution Approach 1:
The patent combines multiple authentication factors (biometric data from cameras, location data from GPS, and geofencing verification) into a single integrated authentication system. This merging of multiple verification methods enhances security reliability while managing complexity through unified system architecture.
Solution Approach 2:
The mobile device is designed to perform multiple functions simultaneously: capturing biometric images via cameras, obtaining location metadata via GPS receiver, and verifying authentication against stored profiles. This multi-functionality approach enhances security without requiring separate dedicated devices for each authentication factor.
2Reliability
If multiple verification methods are implemented, then the security level improves, but the processing time and system complexity increase
Solution Approach 1:
The system performs preliminary actions by continuously monitoring location metadata and pre-establishing geofenced areas before authentication is needed. When authentication is required, the verification process is accelerated because location data is already captured and geofence boundaries are pre-defined, reducing processing time while maintaining high verification accuracy.
Solution Approach 2:
The patent replaces traditional mechanical or manual verification processes with automated electronic verification. The processor automatically compares captured images and location data against stored profiles and geofenced areas, eliminating manual intervention and significantly reducing authentication processing time while maintaining high accuracy.
3Productivity
If real-time authentication is implemented, then fraud prevention capability improves, but the energy consumption and device complexity increase
Solution Approach 1:
The system implements periodic authentication checks rather than continuous monitoring. The processor verifies user identity and location at specific intervals or trigger events (such as attempting to access protected content or perform transactions), which maintains high fraud prevention efficiency while significantly reducing energy consumption compared to continuous real-time monitoring.
Solution Approach 2:
The mobile device performs self-service authentication by using its own built-in cameras and GPS receiver to capture and verify biometric and location data. The device independently compares captured data against stored profiles without requiring external verification systems, reducing energy consumption by eliminating the need for constant communication with external servers while maintaining efficient fraud prevention.
Data Source
AI summary
Provided herein is a method for verifying the identity and location of a putative user of a mobile computing device, including the steps of: photographing the user or a portion thereof with a first camera to generate a user image; photographing the environment with a second camera to generate an environmental image; transmitting the images to a remote receiver device associated with a remote processor; extracting a unit of image biometric information from the user image; comparing the unit of image biometric information to a stored unit of biometric information associated with the putative user's identity in a database of biometric information; and comparing the environmental image with a location image database, where the location image database includes images of known location.