Electronic Lock Depth Plane Recognition Segmentation
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Solution Overview
Problem
Existing human face electronic recognition access control systems face issues with incorrect detection or prolonged detection times due to lighting and angle problems, leading to delayed lock opening.
Innovation Solution
An electronic lock and method featuring an acquisition module for depth and plane information acquisition, a processing module for comparison with stored data, and a driving module to adjust acquisition angles, along with an illuminating module for improved accuracy, which initially determines household membership based on depth information and then verifies with plane information for quick authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional human face recognition is used, then security is maintained, but recognition time is too long and detection may be incorrect
Solution Approach 1:
The recognition process is segmented into two stages: first depth information recognition to identify household members, then plane information recognition for final verification. This segmentation reduces the overall recognition time by narrowing down the search space in the first stage while maintaining security through the second stage verification.
Solution Approach 2:
Depth information is used for preliminary identification of household members before performing the more time-consuming plane information recognition. This preliminary action filters out non-household members early, reducing the time required for complete recognition while maintaining detection accuracy through subsequent verification.
2Reliability
If comprehensive face recognition is performed on all household members, then detection accuracy is maintained, but recognition time increases
Solution Approach 1:
The recognition system segments the verification process into depth-based preliminary identification and plane-based final verification. This allows the system to quickly filter candidates using depth information before performing detailed plane information comparison, thereby maintaining detection accuracy while improving recognition speed.
Solution Approach 2:
The system performs partial recognition using depth information first to identify potential matches, then applies full plane information recognition only to promising candidates. This partial action approach maintains high detection accuracy while significantly reducing the overall recognition time by avoiding exhaustive comparison with all stored profiles.
3Loss of time
If depth information recognition is added, then recognition time is shortened, but device complexity increases
Solution Approach 1:
The acquisition module is designed to handle both depth information and plane information recognition functions. This multi-functionality allows the system to perform rapid preliminary identification using depth data while maintaining the capability for accurate final verification using plane information, reducing recognition time without requiring completely separate hardware systems.
Solution Approach 2:
Depth information serves as an intermediary that facilitates rapid preliminary identification of household members before the final plane information verification. This intermediary layer narrows down the candidate pool efficiently, reducing the computational burden and time required for complete recognition while maintaining system reliability through the subsequent verification step.
Data Source
AI summary
There are provided in embodiments of the present disclosure an electronic lock and an electronic lock recognizing method. The electronic lock comprises: an acquisition module, a storage module and a processing module; the acquisition module is configured to acquire first depth information of a user; and the processing module is configured to compare the first depth information with second depth information of the storage module, and determine that the user is a household member if the first depth information is consistent with the second depth information.