Virtual Meeting Feed Layout for Multi-Source Screen Arrangement
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Solution Overview
Problem
Existing meeting technologies are inefficient, leading to significant time and cost burdens for companies, and often result in suboptimal outcomes due to inefficiencies in leadership and participation.
Innovation Solution
Integration of data from multiple sources for intelligent processing, enhancing video calls and meetings through improved interaction and data collection from cameras and peripherals, and optimizing system elements using business software applications, authentication, gameplay, and educational activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional meeting technologies are used, then meetings can be conducted, but they consume significant time and cost resources
Solution Approach 1:
The system automatically collects data from multiple sources (cameras, microphones, documents, chat logs), processes it through AI/ML models, and generates meeting summaries, action items, and insights without requiring manual intervention. This self-service automation eliminates the need for manual note-taking and analysis, significantly reducing the time and resources consumed in meetings while maintaining high productivity.
Solution Approach 2:
The patent replaces manual mechanical processes (handwriting notes, verbal summaries, manual data collection) with automated electronic systems. AI/ML algorithms automatically process audio, video, and document data to generate meeting outcomes, substituting the mechanical effort of manual note-taking and analysis with intelligent automation that achieves superior efficiency.
2Reliability
If more data is collected from multiple sources, then meeting outcomes improve, but system complexity increases
Solution Approach 1:
The system employs a universal AI/ML processing framework that handles multiple data types (audio, video, documents, chat logs) through a single integrated platform. This multi-functional approach allows the system to collect and process diverse data from various sources without requiring separate specialized systems for each data type, thereby improving reliability while managing complexity through consolidation.
Solution Approach 2:
The patent introduces an AI/ML-based intermediary layer that sits between the diverse data sources and the meeting analysis output. This intermediary processes and synthesizes information from multiple sources (cameras, microphones, documents, chat logs) into coherent meeting outcomes, acting as a mediator that integrates complexity into a manageable unified process while improving the quality and reliability of meeting results.
Data Source
AI summary
In accordance with some embodiments, systems, apparatus, interfaces, methods, and articles of manufacture are provided for providing information incorporating additional data feeds, creating common arrangements, and improving performance in a virtual meeting. In some embodiments, a video conferencing system hosts a customized video conferencing and includes video conference settings data, participant display device data, supplemental data feed data, and processing instructions. The video conferencing system may identify (based on the video conference settings data) a number of data feeds for display on a display screen of each participant in a video conference and (based on the participant display device data) a screen specification for each display screen of each participant. The system may then compute an arrangement for the number of data feeds that fits within an available display area.