Facial Recognition User Authentication System
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Solution Overview
Problem
There is a need to customize user experiences on computing devices without requiring users to manually input usernames or authentication credentials, while also monitoring user behavior effectively across various devices.
Innovation Solution
The system uses facial recognition to identify users by capturing and matching image data with a database, allowing for personalized content configuration and behavior monitoring without manual login, and can transmit data to configure applications on devices such as TVs, laptops, and mobile phones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If facial recognition is used to identify users automatically, then user authentication speed and convenience are improved, but system complexity and security requirements increase
Solution Approach 1:
The system performs preliminary actions by capturing and storing facial image data during device setup or first-time use. This pre-captured data is then used for rapid subsequent authentications, eliminating the need for manual username/password entry and reducing authentication time for future logins.
Solution Approach 2:
The patent introduces a facial recognition system as an intermediary between the user and the device authentication process. Instead of direct manual credential entry, the facial recognition system mediates by capturing biometric data, comparing it against stored templates, and automatically granting access, thereby reducing authentication time while managing system complexity through specialized recognition algorithms.
2Adaptability or versatility
If personalized content is provided based on user identification, then user experience customization is improved, but data processing requirements and privacy concerns increase
Solution Approach 1:
The system applies local quality by providing different levels of content personalization based on the confidence level of facial recognition and user preferences. When facial recognition confidence is high, more personalized content is provided; when confidence is lower or privacy settings are restricted, generic content is provided instead. This approach enables content customization while managing data processing energy consumption adaptively.
Solution Approach 2:
The patent implements partial personalization by providing customized content only for certain application features or time periods, rather than全面的 personalization. For example, media recommendations may be personalized based on facial recognition, while other system functions use standard content. This partial approach achieves meaningful user experience customization while reducing overall data processing energy requirements.
3Adaptability or versatility
If multiple users share a single device, then device versatility and collaboration are improved, but user identification accuracy and profile management become more difficult
Solution Approach 1:
The system segments user identification by capturing and processing facial image data separately for each user. When multiple users are detected, the system divides the authentication process into individual facial recognition streams, comparing each user's facial data against their respective stored templates. This segmentation enables accurate identification of multiple users on a single device while maintaining distinct user profiles and preventing cross-contamination of biometric data.
Data Source
AI summary
The invention is directed to systems, methods and computer program products for adapting content and monitoring user behavior based on facial recognition. An exemplary method comprises: receiving, at a first device, image data from a second device; determining whether the image data substantially matches second image data in a database of image data; in response to determining the image data substantially matches the second image data, determining an account associated with the image data; determining a first set of data associated with the account; and transmitting the first set of data to the second device, wherein the first set of data is used to configure an application being executed on the second device.