Personal Assistant App for Real-Time Biometric Identification
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Solution Overview
Problem
Current hand-held communication devices lack the ability to effectively identify and provide real-time information about individuals or objects in a user's vicinity, limiting their functionality in enhancing user interactions and experiences.
Innovation Solution
A personal assistant application installed on mobile devices that captures images or voice data of subjects and uses face/voice recognition servers to retrieve and display relevant information, allowing users to learn names, occupations, and other details of individuals encountered, through a network that includes servers for data storage and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hand-held communication devices are equipped with basic communication functions, then communication capability is provided, but the ability to identify and provide real-time information about individuals or objects is lacking
Solution Approach 1:
The patent introduces face recognition servers and voice recognition servers as intermediary components between the mobile device and information databases. These servers handle the complex tasks of recognizing faces and voices, allowing the mobile device to provide real-time information about individuals without requiring complex recognition systems to be built into the device itself.
Solution Approach 2:
The system is divided into distinct functional modules: a mobile device for capturing images and voice data, face recognition servers for identifying individuals from images, voice recognition servers for identifying individuals from voice data, and databases for storing information. This segmentation allows each component to specialize in specific tasks, improving overall system versatility while managing complexity through modular design.
2Loss of information
If face recognition servers and voice recognition servers are introduced to identify subjects, then real-time information retrieval is enabled, but network infrastructure complexity increases
Solution Approach 1:
The face recognition servers and voice recognition servers are designed to handle multiple types of biometric data (faces and voices) and can serve multiple purposes: identifying individuals, retrieving their information, and providing it to users. This multi-functionality reduces the need for separate specialized systems, managing network infrastructure complexity while improving information accessibility.
3Productivity
If mobile devices capture and process images and voice data in real-time, then user interaction enhancement is achieved, but processing time and energy consumption increase
Solution Approach 1:
The system pre-processes and stores facial images and voice recordings in databases before they are needed for identification. When a user captures an image or voice data, the system can quickly match it against pre-organized data in the databases, significantly reducing processing time compared to analyzing raw data in real-time.
Solution Approach 2:
By introducing face recognition servers and voice recognition servers as intermediaries, the complex processing tasks are offloaded from the mobile device to specialized servers with greater computational resources. This allows the mobile device to capture data quickly and transmit it for processing, reducing the perceived processing time for users while maintaining high interaction efficiency.
Data Source
AI summary
A mobile device may receive user input for requesting personal information for a subject in proximity of a mobile device and based on the user input, selecting one of available functions. The functions may include a first function for obtaining personal information using a first identifier. The functions may also include a second function for obtaining the personal information using the first identifier. The mobile device may output the personal information as an image to a display or as speech to speaker.