Face Recognition Logout for Smart Automated Machines
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Solution Overview
Problem
Smart financial automation devices face challenges in user accessibility, particularly for senior citizens with low digital informatization capabilities, and struggle to securely manage user departures and changes during transactions, leading to potential personal information exposure and inconvenient authentication processes.
Innovation Solution
An apparatus and method utilizing face recognition technology to detect user departures and changes, guiding video counseling for senior citizens and automatically controlling logout to protect personal information, thereby enhancing security and simplifying transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple authentication means are required for real-name verification, then security is improved, but transaction time and operational complexity increase
Solution Approach 1:
The system performs face recognition authentication in advance and stores the verified user identity information. When the user needs to perform transactions, the pre-authenticated information is automatically retrieved and applied, eliminating the need for repeated authentication processes and reducing transaction time while maintaining security
Solution Approach 2:
The system automatically manages user authentication status by continuously monitoring face recognition data and autonomously handling login/logout operations. This self-service mechanism eliminates manual authentication steps for users, reducing transaction time while maintaining security through automated verification
2Reliability
If face recognition monitoring is continuously performed to detect user departure and changes, then security is improved by preventing information exposure, but device complexity and processing requirements increase
Solution Approach 1:
The system replaces complex manual security monitoring mechanisms with automated face recognition technology. The camera captures user images, which are then processed by AI-based face recognition algorithms to automatically detect user presence, departure, and identity changes, providing enhanced security without requiring additional physical monitoring equipment
Solution Approach 2:
The system continuously captures user images through the camera and compares them against stored reference data in real-time. When changes or departures are detected, the system immediately provides feedback by triggering automated logout or warning actions, maintaining security through continuous monitoring while using efficient image processing to manage system complexity
3Reliability
If automatic logout is implemented upon detecting user departure or changes, then information security is improved, but user convenience may be reduced if the system is overly sensitive
Solution Approach 1:
The system implements a graduated response to detected user changes: it first issues warnings to alert users, then performs partial logout actions, and only executes full automatic logout when necessary. This partial action approach maintains information security while avoiding excessive sensitivity that would inconvenience users during normal transactions
Solution Approach 2:
The system performs preliminary face recognition authentication before transactions and stores user identity information in advance. This preliminary action creates a baseline for comparison, allowing the system to accurately distinguish between intentional user actions and unexpected departures, thereby maintaining user convenience while ensuring information security
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables secure and convenient use of smart automated machines by senior citizens, reduces transaction time by omitting unnecessary authentication, and improves security by automatically managing user departures and changes, promoting the widespread adoption of smart financial automation devices.
Implementation Method 1
a camera unit for photographing an image when a transaction starts
Data Source
AI summary
Disclosed are an apparatus and a method for processing user information of a smart automated machine using face recognition, which can guide video counseling through user recognition using face recognition technique in a smart automated machine, accurately detect departure and change of a user, and control the logout based on information of departure and change of the user, thereby protecting personal information and improving security. When a transaction starts in a task control unit, face recognition monitoring is requested by interworking with a user departure/change determination unit, a face recognition solution is executed as the face recognition monitoring is requested, a user departure/change detection event is generated and transmitted to the task control unit when departure/change of the user is detected, and the logout is selectively controlled according to the departure or change to protect personal information, thereby enhancing security.