Multipoint Control Unit Settings Rationalization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video conferencing systems lack an automated facility to diagnose and resolve conferencing issues, making it difficult for multiple locations with different settings to determine and address problems effectively.
Innovation Solution
A system and method utilizing a multipoint control unit (MCU) to provide default settings to communication endpoints, monitor conference conditions, and adjust settings dynamically to maintain quality, while creating a knowledge base for configuring conferences by exchanging information about settings and endpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple locations use different conference settings, then each location can be optimized for its specific conditions, but it becomes difficult to determine the cause of problems and resolve issues efficiently
Solution Approach 1:
The system automatically collects conference settings from multiple locations and feeds this information back to a central server. The server analyzes the settings data and provides automated feedback to identify configuration issues and optimize settings across locations, eliminating the need for manual verbal exchanges to diagnose problems.
Solution Approach 2:
A central server acts as an intermediary between multiple conference locations. It collects settings data from various endpoints, processes the information, and provides coordinated responses. This intermediary consolidates the complexity of multiple different settings into a single management point, making problem diagnosis straightforward.
2Productivity
If automated facilities are implemented to diagnose and resolve conferencing issues, then problem resolution efficiency improves, but system complexity increases
Solution Approach 1:
The system enables automated self-service for conference settings management. The central server automatically collects settings data, analyzes problems, and implements resolutions without requiring manual intervention from operators. This automation handles routine diagnostic and resolution tasks, improving productivity while keeping the system manageable through standardized processes.
Solution Approach 2:
The system divides the complex task of conference management into separate functional modules: settings collection, data analysis, problem diagnosis, and resolution implementation. Each module handles a specific aspect of the process, making the overall system complexity manageable while maintaining high automation capability for efficient problem resolution.
3Device complexity
If conference settings are manually configured and monitored, then system complexity remains low, but time consumption for settings management and problem resolution increases
Solution Approach 1:
The system performs preliminary actions by automatically collecting and analyzing conference settings data before problems occur. The central server proactively monitors settings across multiple locations, identifies potential issues, and prepares resolution strategies in advance, significantly reducing the time required for actual problem resolution while maintaining relatively simple system architecture.
Data Source
AI summary
A conference system is provided with enhanced settings capabilities. A controller can poll for settings at each endpoint in a conference system and be able via the video stream to selectively display and compare settings among the endpoints. One location can push its settings to one or more locations to overcome failures or degradation in the conference. The settings between different controllers may be rationalized via a common denominator method or tabular method to build a knowledge of how to configure conferences and to automate responses to problems.