Facial Recognition Sign-In System Identity Verification
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Solution Overview
Problem
Existing electronic sign-in methods cannot confirm the identity of the person signing in, as they rely on recognizable objects that can be fraudulently used by others.
Innovation Solution
A facial recognition-based sign-in system and method that receives a face image from a sign-in terminal, detects if the image matches a pre-stored registration set, and confirms the user's identity by using facial recognition algorithms to ensure accurate matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If recognizable objects (cards, codes) are used for sign-in, then sign-in convenience is improved, but sign-in reliability deteriorates because identity verification cannot be confirmed
Solution Approach 1:
The patent replaces mechanical/object-based recognition (cards, codes) with biometric facial recognition technology. The server captures facial images, extracts feature values, and performs automated identity verification through algorithmic comparison, eliminating the need for physical recognizable objects while ensuring reliable identity confirmation.
Solution Approach 2:
The patent creates a digital copy of the user's facial features through image capture and extracts essential feature values that represent the user's identity. This digital facial feature copy is stored and used for verification, replacing physical cards or codes while maintaining verification reliability.
2Reliability
If facial recognition is implemented, then sign-in reliability is improved, but device complexity increases
Solution Approach 1:
The patent divides the facial recognition system into distinct functional modules: a sign-in terminal for capturing facial images, a server for storing facial feature data, and an automated recognition system for comparison and verification. This segmentation allows each component to perform its specific function efficiently while reducing overall system complexity.
Solution Approach 2:
The system performs automated facial feature extraction, comparison, and identity verification without requiring manual intervention. The server automatically captures facial images, extracts feature values, compares them with stored data, and confirms identity, enabling the system to serve itself and reduce operational complexity.
3Device complexity
If traditional sign-in methods are used, then device complexity is reduced, but fraudulent sign-in cannot be prevented
Solution Approach 1:
The patent replaces object-based recognition (cards, codes) with biometric facial recognition technology. The server captures facial images, extracts feature values, and performs automated identity verification through algorithmic comparison, eliminating the need for physical recognizable objects while ensuring reliable identity confirmation.
Solution Approach 2:
The patent creates a digital copy of the user's facial features through image capture and extracts essential feature values that represent the user's identity. This digital facial feature copy is stored and used for verification, replacing physical cards or codes while maintaining verification reliability.
Data Source
AI summary
A sign-in method and server based on facial recognition are provided. The method includes: receiving a face image of a sign-in user from a sign-in terminal. According to the face image of the sign-in user, whether a target registration user matching the sign-in user exists in a pre-stored registration set is detected. The registration set includes a face image of at least one registration user. Further, the target registration user is confirmed as signed in successfully if the target registration user exists in the registration set.