User Recognition via Multi-Sensor Correlation for Authentication Reliability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
User recognition technologies, such as face recognition, face challenges in accurately identifying users due to variations in facial expressions, physical conditions, and changes in clothing, leading to incomplete authentication and service denial.
Innovation Solution
An information processing system that utilizes a combination of sensors to obtain first and second observation information, recognizing users based on correlation between these data sets, and initiating services associated with the recognized user, even when face recognition is unreliable, by using multiple observation devices to gather comprehensive user characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face recognition technology is used to identify users, then user authentication can be performed, but recognition accuracy deteriorates when facial expressions, physical conditions, or clothing change
Solution Approach 1:
The patent segments the user recognition process into multiple independent observation channels (face recognition, body recognition, clothing recognition, accessory recognition). Each channel processes different types of observation information separately, and the system integrates results from multiple channels to make the final recognition decision. This segmentation allows the system to bypass unreliable channels and use reliable ones, resolving the contradiction between authentication reliability and face recognition accuracy.
Solution Approach 2:
The patent merges multiple types of observation information (face images, body images, clothing images, accessory images) from different sensors into a comprehensive user profile. By combining multiple recognition results and comparing them with stored user information across different categories, the system achieves more reliable user authentication that is not dependent on the accuracy of any single observation channel, thereby resolving the contradiction between authentication reliability and face recognition accuracy.
2Measurement precision
If multiple sensors are used to obtain comprehensive observation information, then user recognition accuracy improves, but device complexity increases
Solution Approach 1:
The patent employs a camera unit that serves multiple functions: capturing face images, body images, and clothing images. This multi-functional sensor design allows the system to obtain diverse observation information from a single device, improving user recognition accuracy while avoiding the complexity of deploying multiple specialized sensors. The camera unit adapts its function based on the observation target, resolving the contradiction between recognition accuracy and device complexity.
Solution Approach 2:
The patent transitions from two-dimensional face recognition to multi-dimensional observation by capturing images from multiple angles and distances (close-up face images, medium-range body images, and distant full-body images). This dimensional expansion allows the system to extract multiple types of information (facial features, body shape, clothing characteristics) from a single imaging system, improving recognition accuracy without proportionally increasing device complexity.
Data Source
AI summary
An information processing apparatus including circuitry configured to obtain, from sensors, first and second observation information related to at least one characteristic of a user, recognize the user based on correlation between the first and second observation information, and initiate an execution function associated with the recognized user.