AR Identity Authentication via Video Analysis
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Solution Overview
Problem
Current methods for authenticating individuals in financial transactions are inconvenient, insecure, and rely heavily on memory and visual cues, which are limited in accuracy and reliability, especially when dealing with unfamiliar individuals or transactions.
Innovation Solution
Implementing real-time video analysis using augmented reality (AR) on mobile devices to identify individuals through facial features, symmetry, eye color, hair color, body type, clothing, and other recognizable traits, comparing these features to reference images to authenticate identities and facilitate financial transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time video analysis with AR is implemented to identify individuals, then authentication accuracy is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary system comprising a processor and software application that mediates between the video camera and the authentication decision. This intermediary layer processes video frames, extracts facial features, compares them against reference images, and presents augmented reality overlays to assist authentication, thereby achieving high accuracy without overwhelming the mobile device's core functionality
Solution Approach 2:
The patent replaces traditional mechanical authentication methods (physical ID cards, manual password entry) with an optical-based video analysis system. The mobile device's camera captures visual data, which is then processed through image recognition algorithms to authenticate individuals, substituting physical and manual processes with optical and computational methods
2Ease of operation
If real-time video analysis is used to identify individuals, then authentication convenience is improved, but processing energy consumption increases
Solution Approach 1:
The system employs periodic action by analyzing video frames at selective intervals rather than continuously processing every frame. The processor captures video streams and processes them in discrete time intervals, updating the augmented reality display periodically with new identification information, thereby reducing continuous processing energy consumption while maintaining real-time authentication capability
Solution Approach 2:
The system performs preliminary action by pre-processing and storing reference images of individuals before authentication scenarios occur. During actual authentication, the system compares captured video frames against these pre-prepared reference images, significantly reducing the computational energy required during the critical authentication moment compared to creating and analyzing all possible reference data in real-time
Data Source
AI summary
Embodiments of the invention are directed to methods and apparatuses for conducting financial transactions based on identification of individuals in an augmented reality environment. The method includes capturing a video stream using a mobile computing device; analyzing, using a computing device processor, the video stream to distinguish between individuals and objects; identifying an individual in the video stream; authenticating the identity of the individual; and conducting the transaction after the individual is authenticated. The method may also include presenting indicators associated with the user, the identified individual, or the financial transaction.