Appliance having a customizable user profile
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Solution Overview
Problem
Existing appliances lack personalized user interfaces that can efficiently recognize and authenticate users, leading to inconvenience and security concerns.
Innovation Solution
An appliance equipped with a scanning device for facial recognition, a controller to process the data, and a memory storage for profile databases, allowing for user authentication and personalized routine activation based on facial data matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional authentication methods (keypad, card reader) are used, then device complexity is low, but ease of operation and user experience are poor
Solution Approach 1:
The patent replaces mechanical authentication systems (keypad, card reader) with an optical/biological recognition system using a camera to capture facial images and biometric data. This substitution eliminates the need for physical interaction with authentication devices while providing more convenient user experience through contactless facial recognition.
Solution Approach 2:
The system creates a digital copy of the user's facial biometric data and stores it as a profile in the database. This copied biometric template is then used for rapid comparison during authentication, eliminating the need for repeated physical authentication artifacts like keys or cards.
2Reliability
If facial recognition technology is implemented, then user authentication security and personalization are improved, but device complexity increases
Solution Approach 1:
The authentication system is divided into distinct functional modules: a camera module for capturing facial images, a controller for processing and comparing biometric data, and a database for storing user profiles. This segmentation allows each component to be optimized independently while working together to provide secure authentication.
Solution Approach 2:
The controller acts as an intermediary between the camera and the database, processing facial images to extract biometric features, comparing them against stored profiles, and determining authentication outcomes. This intermediary layer manages the complexity of biometric processing while providing a simple interface for authentication.
3Adaptability or versatility
If multiple user profiles are stored, then adaptability and personalization are improved, but memory storage requirements increase
Solution Approach 1:
Instead of storing complete facial images or large amounts of user data, the system extracts and stores only essential biometric features and profile parameters as compressed templates. This copying approach creates simplified representations that consume minimal storage space while maintaining authentication accuracy and personalization capabilities.
Data Source
AI summary
An appliance includes a body, an interface panel, a scanning device, and a controller. The interface panel is coupled to the body. The scanning device is coupled to the interface panel and is configured to conduct a facial scan and gather a facial data set. The controller is communicatively coupled to the scanning device, wherein the controller is configured to receive the facial data set and compare the facial data set to a stored verification data set. The controller is configured to activate a routine based on the comparison of the facial data set and the stored verification data set.