Electronic Lock Unlocking via Environmental Background Verification
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Solution Overview
Problem
Current facial recognition systems for electronic locks are vulnerable to unauthorized access as they cannot differentiate between real-time and pre-recorded images, leading to potential security risks.
Innovation Solution
The method involves creating and comparing authenticated environmental background feature information with real-time unlocking data, ensuring that both facial and environmental features match to unlock the lock, utilizing a camera with a Time-of-Flight lens module to verify the distance and authenticity of the features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If facial recognition is used for unlocking, then convenience is improved, but security is worsened due to vulnerability to picture/screen spoofing
Solution Approach 1:
The patent introduces an environmental background feature as an intermediary element to verify the authenticity of the facial recognition input. The system captures both the facial feature and the environmental background, then compares the background against pre-stored authenticated background features. This intermediary verification layer prevents spoofing attacks while maintaining convenient facial recognition unlocking for legitimate users.
2Ease of operation
If only facial feature matching is performed, then ease of operation is improved, but reliability is worsened due to inability to detect fake images
Solution Approach 1:
The patent transitions from a single-dimensional facial feature matching system to a two-dimensional verification system by adding environmental background verification. The system now operates in two dimensions: (1) facial feature matching and (2) environmental background matching. Both dimensions must be satisfied for successful unlocking, thereby detecting fake images that pass facial recognition but fail background verification.
3Reliability
If environmental background verification is added, then security is improved, but device complexity is worsened
Solution Approach 1:
The patent merges the environmental background verification process with the existing facial recognition workflow into a single integrated authentication system. The camera captures both facial features and environmental background simultaneously, and the system processes both verifications in one unified flow. This merging approach improves security while minimizing the increase in operational complexity for users.
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
This approach significantly reduces the likelihood of unauthorized access by requiring both correct facial and environmental features, ensuring the user is physically present near the lock, thereby enhancing security and preventing cheating.
Implementation Method 1
utilizing a camera with a Time-of-Flight lens module to verify the distance and authenticity of the features
Data Source
AI summary
An unlocking method for an electronic lock includes capturing an environmental background outside of the electronic lock by a person. An environmental background feature is used to create an authenticated environmental background feature information and is saved in an authenticated environmental background feature database. At least one facial feature is set as an authenticated facial feature and is saved in an authenticated facial feature database. A real-time unlocking information is inputted by the person and analyzed to obtain the facial feature of the person and an environmental background feature. The authenticated electronic lock remains in a locking state when the environmental background feature cannot be not obtained. The electronic lock is unlocked only when the facial feature matches with the authenticated facial feature and the environmental background feature matches with the authenticated environmental background feature.