Face Registration via Video Frame Analysis for Electronic Whiteboard Security
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Solution Overview
Problem
Electronic whiteboards lack confidentiality during use due to the inability to lock the board, allowing anyone to modify content, which compromises security and usability.
Innovation Solution
A method and device for registering a face based on video data, using face detection and recognition algorithms to determine if the face meets preset criteria, allowing only authorized individuals to interact with the electronic whiteboard by recognizing and unlocking it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face recognition registration is implemented, then security and confidentiality are improved, but device complexity increases
Solution Approach 1:
The system automatically captures video data from the camera, detects faces, extracts facial features, and completes registration without requiring manual user input or interaction. The electronic whiteboard autonomously performs the entire face recognition registration process, reducing the need for complex manual configuration while enhancing security.
Solution Approach 2:
The system changes the state of the electronic whiteboard from an accessible state to a locked state based on facial recognition results. By dynamically adjusting the accessibility parameter of the board based on whether a face is recognized and authorized, the system achieves security without requiring complex hardware modifications.
2Loss of time
If automatic face registration is used, then registration time is reduced, but measurement precision may deteriorate
Solution Approach 1:
The system continuously captures video frames and processes facial data in real-time during the registration process. By maintaining continuous video capture and processing without interruption, the system efficiently extracts accurate facial features while minimizing registration time, achieving both speed and precision.
Solution Approach 2:
The system replaces manual face registration procedures with automated computer vision algorithms. By substituting mechanical manual input with automated image processing and facial recognition algorithms, the system achieves both rapid registration and high measurement precision through computational methods.
3Measurement precision
If video data processing is implemented, then face recognition accuracy is improved, but use of energy increases
Solution Approach 1:
The system extracts only the necessary facial feature information from the video data using face detection and recognition algorithms. By extracting and processing only the relevant facial characteristics rather than the entire video stream, the system achieves accurate face recognition while minimizing energy consumption.
Solution Approach 2:
The system processes video data selectively, analyzing only the frames and regions containing facial information rather than processing the entire video stream continuously. This partial processing approach maintains face recognition accuracy while reducing overall energy consumption.
Data Source
AI summary
The embodiments of the present disclosure provide a method of registering a face based on video data, including: receiving video data; acquiring a first image frame sequence from the video data, wherein each image frame in the first image frame sequence includes a face detection frame containing a complete facial feature; determining whether each image frame reaches a preset definition or not according to a relative position of the face detection frame in the image frame; extracting a plurality of sets of facial features based on an image information of the plurality of face detection frames in response to determining that the image frame reaches the preset definition, and determining whether the faces represent an object or not according to the plurality of sets of facial features; and registering the object according to the first image frame sequence in response to determining that the faces represent the object.