Telepresence System Spatial Detection Configuration
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Solution Overview
Problem
The manual configuration of video conference endpoints in diverse conference room settings is cumbersome and often fails to optimize eye contact between participants due to varying room sizes and layouts, leading to suboptimal placement of display screens and cameras.
Innovation Solution
The implementation of a system that automatically configures display devices based on spatial detection of components, using microphone arrays to determine the spatial relationship between cameras, loudspeakers, and display devices, and facial detection to optimize the placement of video feeds for better eye contact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration is used to select display screens for video sources, then the operator can control video source assignment, but the process is cumbersome and does not optimize eye contact between participants
Solution Approach 1:
The system performs self-configuration by automatically detecting the spatial relationships between cameras, display screens, and participants, and autonomously determining optimal video source assignments without requiring manual operator intervention. The controller detects component positions and independently optimizes the configuration based on detected spatial data.
Solution Approach 2:
The patent replaces manual mechanical configuration operations with an automated detection and control system. The controller uses sensors and detectors to automatically identify spatial relationships and substitute human decision-making with algorithm-based optimization for video source assignment.
2Device complexity
If standard layout is applied to conference rooms, then the system configuration is simplified, but no two conference rooms are the same size and shape making standard layout impossible
Solution Approach 1:
The system dynamically adjusts configuration parameters based on detected room characteristics. The controller modifies video source assignments, display screen selections, and camera positioning based on the specific spatial parameters of each conference room, allowing adaptation to varying room sizes and shapes.
Solution Approach 2:
The configuration system transitions from static standard layouts to dynamic adaptive configuration. The system continuously detects spatial relationships and automatically reconfigures video source assignments based on the specific geometric characteristics of each conference room environment.
3Adaptability or versatility
If camera placement is adjusted for different room configurations, then optimal eye contact can be achieved, but manual selection of display screens is cumbersome and inconvenient
Solution Approach 1:
The system performs preliminary automatic detection and configuration before the conference session begins. The controller pre-determines optimal video source assignments based on detected spatial relationships, eliminating the need for time-consuming manual configuration during setup or during the conference.
Solution Approach 2:
The configuration system autonomously performs detection, analysis, and optimization without requiring operator time. The controller independently identifies optimal display screens for video sources based on spatial detection data, freeing operators from cumbersome manual selection processes.
Data Source
AI summary
A system that automatically configures the behavior of the display devices of a video conference endpoint. The controller may detect, at a microphone array having a predetermined physical relationship with respect to a camera, audio emitted from one or more loudspeakers, each loudspeaker having a predetermined physical relationship with respect to at least one of one or more display devices in a conference room. The controller may then generate data representing a spatial relationship between the one or more display devices and the camera based on the detected audio. Finally, the controller may assign video sources received by the endpoint to each of the one or more display devices based on the data representing the spatial relationship and the content of each received video source, and may also assign outputs from multiple video cameras to an outgoing video stream based on the on the data representing the spatial relationship.