Facial Recognition Videoconference Participant Identification
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Solution Overview
Problem
Current videoconferencing systems lack the ability to efficiently display and manage participant information, such as names and identities, in a manner that enhances communication and security during videoconferences, particularly in identifying and verifying participants.
Innovation Solution
The method involves receiving video information with facial images, analyzing them to identify participants using facial recognition algorithms, and displaying participant information alongside the video feed, while also allowing for pre-storing and lookup of participant data in databases, and using badges or cards for identity verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial recognition algorithms are implemented to identify participants, then participant identification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces facial recognition algorithms as an intermediary component between video input and participant identification. The algorithm processes facial images extracted from video feeds, compares them against stored participant data, and returns identification results. This mediator handles the complex recognition task independently, allowing the main videoconferencing system to benefit from accurate identification without directly implementing the complex recognition logic.
Solution Approach 2:
The patent extracts facial images from the video feed as a separate processing step. Instead of analyzing entire video frames, the system isolates and processes only the facial regions, which are then fed to the recognition algorithm. This extraction approach reduces the data volume requiring complex processing while maintaining identification accuracy.
2Loss of information
If participant information is displayed alongside video feed, then information accessibility is improved, but display complexity increases
Solution Approach 1:
The patent merges participant information display with the video feed by overlaying text labels directly on the video frames. Participant names and identification data are combined with their corresponding video images in a single composite display, eliminating the need for separate information panels or additional display devices. This integration ensures information accessibility while maintaining display simplicity.
3Speed
If facial images are processed in real-time during videoconference, then identification speed is improved, but computational load increases
Solution Approach 1:
The patent implements periodic processing of facial images at defined intervals during the videoconference rather than continuous processing. Facial recognition is performed at specific moments such as when participants join, when cameras switch views, or at timed intervals. This periodic approach maintains timely identification while significantly reducing the cumulative computational load compared to continuous real-time processing of every video frame.
Data Source
AI summary
A facial recognition algorithm may be performed in order to identify a participant at a first endpoint in a videoconference. Participant information for the participant may be displayed together with an image of the participant on a display screen at a second endpoint in the videoconference. Displaying the participant information for the participant on the display screen may enable participants at the second endpoint to see the participant information for the participant during the videoconference.