Video Conference Attendee Identification via Image Processing
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Solution Overview
Problem
Current video conference systems lack a method to identify attendees in real-time, leading to inconvenience and waiting times, as they rely on external channels or manual connection processes to determine participant presence.
Innovation Solution
An electronic device with a communication unit and controller that receives image data, extracts identification information, and sorts attendees from non-attendees based on predetermined times, transmitting alarms to non-attendees using contact information, and displaying identified attendees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual connection processes or external channels are used to determine participant presence, then the video conference system can identify attendees, but waiting times and inconvenience increase
Solution Approach 1:
The system performs preliminary actions by capturing images of attendees before the conference officially starts, extracting identification information in advance, and comparing it with the participant list beforehand. This allows the system to determine attendee presence automatically at the start of the conference without manual verification or waiting periods
Solution Approach 2:
The patent replaces manual connection processes and external channel verification with an automated image-based identification system. The controller automatically captures images, extracts identification information using image processing algorithms, compares data with the participant list, and determines attendance status without human intervention, thereby eliminating waiting times and inconvenience
2Productivity
If real-time image processing and identification is implemented, then waiting times are reduced, but device complexity increases
Solution Approach 1:
The controller is designed as a multi-functional device that integrates image capture, image processing, identification information extraction, data comparison, and attendance determination capabilities within a single unit. This universal approach allows the system to perform multiple functions without requiring separate specialized devices, thereby managing complexity while achieving real-time processing
Solution Approach 2:
The system performs self-service by automatically capturing images, processing them to extract identification information, comparing the extracted data with the participant list, and determining attendee status without external intervention. The electronic device independently completes the entire identification workflow, improving productivity while keeping the operational complexity manageable through automation
Data Source
AI summary
An electronic device and a method of controlling the electronic device are provided. The electronic device includes a communication unit configured to receive image data and a controller configured to obtain identification information of a participant from the received image data, to obtain personal information of a plurality of candidates, to identify an attendee among the candidates based on the identification information of the participant and the personal information of the candidates, to sort non-attendees other than the attendee among the candidates based on a predetermined time, and to transmit an alarm to other electronic devices corresponding to the non-attendees.