Automatic User Swap via Facial Recognition Logout
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Solution Overview
Problem
Shared computers pose a challenge in ensuring secure access and preventing unauthorized access to personal accounts and information, as users must manually log out of each account and off the system to maintain privacy, which can be cumbersome.
Innovation Solution
Implementing a facial recognition system using a front-facing camera to capture and analyze images, comparing extracted facial features with stored data to automatically log out the previous user upon detecting a change, thereby preventing unauthorized access to personal accounts and information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual logout procedures are used to prevent unauthorized access, then security is improved, but ease of operation deteriorates due to the cumbersome process of logging out of each account and off the system
Solution Approach 1:
The system automatically detects user presence changes and performs logout actions without requiring manual user intervention. The computer monitors for user swaps and autonomously logs out the previous user, making the system secure while eliminating the need for manual logout procedures.
Solution Approach 2:
The system continuously monitors user presence at the computer and provides feedback by automatically triggering logout when a user swap is detected. This closed-loop monitoring and response mechanism ensures security is maintained while removing the burden of manual logout from the user.
2Reliability
If continuous facial recognition is implemented to detect user swaps, then security is improved, but use of energy deteriorates due to the resource-intensive nature of continuous identification
Solution Approach 1:
Instead of continuous facial recognition, the system uses periodic presence detection to monitor for user swaps. The computer checks for user presence at intervals and triggers logout when absence or swap is detected, significantly reducing energy consumption while maintaining security.
Solution Approach 2:
The system skips continuous resource-intensive facial recognition processing and only performs authentication checks when necessary - specifically when a user swap is detected through periodic presence monitoring. This approach rushes through the security check only when needed, conserving energy while maintaining security.
Data Source
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AI summary
A computer-implemented method for providing secure access to a computer is disclosed according to one aspect of the subject technology. The method comprises capturing an image with a camera at the computer, extracting facial features from the image, and comparing the extracted facial features with facial features of a user stored on the computer, wherein the computer is currently logged into a user account belonging to the user. The method also comprises, if the extracted facial features match the stored facial features of the user, then staying logged into the user account, and, if the extracted facial features do not match the stored facial features of the user, then automatically logging out of the user account.