Video Conference Endpoint Switching for Off-Screen Subject Tracking
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Solution Overview
Problem
Existing video conferencing systems face challenges in efficiently configuring multiple disparate devices from different manufacturers to provide optimal audio and video experiences, especially in dynamic and changing environments, requiring time-intensive manual adjustments.
Innovation Solution
A system utilizing artificial intelligence and machine learning to dynamically and intelligently configure endpoint devices such as cameras and microphones, determining optimal settings and orientations based on diagnostic outputs, room conditions, and user profiles, enabling real-time adjustments to accommodate varying conferencing contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration of multiple endpoint devices is performed, then optimal audio and video experiences can be achieved, but significant time and effort are required for setup and reconfiguration
Solution Approach 1:
The system enables endpoint devices to automatically configure themselves by detecting room acoustics, identifying device locations, and adjusting settings without manual intervention. The intelligent configuration system performs self-diagnosis and self-optimization of audio and video parameters based on environmental conditions and device capabilities
Solution Approach 2:
The system dynamically adjusts multiple parameters including microphone sensitivity, camera orientation, video resolution, and audio processing settings based on detected room conditions, device positions, and conference requirements. This automated parameter optimization eliminates manual configuration while maintaining optimal quality
2Adaptability or versatility
If multiple disparate devices from different manufacturers are used, then device versatility and availability are improved, but compatibility and communication between devices become problematic
Solution Approach 1:
The system introduces an intelligent configuration system as an intermediary layer that mediates between disparate endpoint devices. This mediator translates between different device protocols and standards, enabling seamless communication and coordination between devices from different manufacturers without requiring direct device-to-device compatibility
Solution Approach 2:
The configuration system provides universal functionality by supporting multiple device types, manufacturers, and communication protocols through a single integrated platform. It performs multiple functions including device discovery, compatibility assessment, configuration optimization, and real-time adjustment across heterogeneous device ecosystems
3Adaptability or versatility
If endpoint devices are reconfigured for changing conference dynamics, then adaptability to new situations is improved, but time-intensive reorganization is required
Solution Approach 1:
The system transitions from static manual configuration to dynamic automated reconfiguration that continuously adapts to changing conference conditions. It automatically detects changes in participant positions, adds or removes devices, and adjusts settings in real-time without requiring manual reorganization, thereby maintaining high adaptability while eliminating reconfiguration time costs
Data Source
AI summary
A video conferencing context is periodically determined during an active conference session. It is determined that the video conferencing context involves a subject that is currently off-screen from a first endpoint device. A location and an orientation of the subject that is off-screen is determined based on diagnostic outputs from a plurality of endpoint devices. The system automatically switches from the first endpoint device to a second endpoint device capable of better capturing the subject. Video from the second endpoint device is then transmitted to conference participants.