Multifactor Authentication System for Access Control
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Solution Overview
Problem
Current access control systems relying on single authentication methods, such as badges, are vulnerable to counterfeit badges, unauthorized use, and tailgating, as they fail to recognize badge swapping or unauthorized access unless reported promptly.
Innovation Solution
Implementing a multifactor authentication and authorization system that uses image capture devices to detect and verify both a live human face and a badge, performing facial recognition, character recognition, and proximity checks to ensure only authorized individuals gain access, while denying access if multiple people are present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If single authentication using a badge is implemented, then ease of operation is improved, but reliability deteriorates due to counterfeit badges, badge swapping, and unauthorized use
Solution Approach 1:
The system merges multiple authentication factors (biometric face recognition, badge verification, and liveness detection) into a unified authentication process. The access control system simultaneously processes both the person's face and the badge information, requiring both to match the authorized user before granting access. This combination resolves the contradiction by maintaining operational simplicity while significantly improving reliability through multi-factor verification.
Solution Approach 2:
The system introduces an intermediary verification process that checks the relationship between the badge holder and the badge itself. By verifying that the person presenting the badge is indeed the authorized user through biometric matching, the system acts as an intermediary that prevents counterfeit and unauthorized badge use while maintaining the simplicity of badge-based access.
2Reliability
If multifactor authentication verifying both person and badge is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The access control device is designed with multi-functionality, integrating biometric face recognition, badge reading, liveness detection, and access control capabilities into a single unified system. This universal device performs multiple authentication functions simultaneously, improving reliability without requiring separate complex systems for each authentication factor.
Solution Approach 2:
The system employs self-service authentication where the user's own biometric features (face) serve as the verification mechanism. The liveness detection and face recognition processes are automated, requiring minimal operator intervention while maintaining high reliability. The system self-verifies the authenticity of both the person and the badge without manual checking.
3Reliability
If face recognition and badge verification are performed simultaneously, then unauthorized access is prevented, but loss of time increases due to multiple verification steps
Solution Approach 1:
The system performs face recognition and badge verification in continuous parallel operations rather than sequential steps. While the user presents their badge, the system simultaneously captures and analyzes their face, checks liveness, and verifies badge authenticity. This continuous parallel processing maintains high reliability while minimizing the total authentication time.
Solution Approach 2:
The system performs preliminary actions by pre-loading authorized user data and preparing verification algorithms before authentication is needed. When a user approaches, the system is already ready to process both face and badge information simultaneously, reducing the actual authentication time while maintaining comprehensive verification.
4Reliability
If proximity checks for multiple persons are implemented, then tailgating is prevented, but ease of operation deteriorates
Solution Approach 1:
The system replaces manual security checking (mechanical process of visually inspecting who is following) with automated optical sensing and image processing. Cameras and sensors automatically detect multiple persons in proximity, and the system algorithmically determines whether tailgating is occurring. This substitution maintains reliability in preventing tailgating while requiring minimal effort from users, as the detection is fully automated.
Data Source
AI summary
Methods and systems for multifactor authentication and authorization are described. A method includes receiving captured image data of a person with a badge needing access to a secure area, detecting at least two faces from the captured image data, identifying a first name based on matching a face associated with a live human face with a control face in a database, identifying a second name based on matching on another face associated with the badge with a control face in a database, performing character recognition on text associated with the another face, comparing the second name with the character recognized text, comparing the second name with the first name when the second name matches the character recognized text, checking access rights, checking for at least another person in a proximity of the secure area, and granting access when the person is sole person accessing the secure area.