Dynamic Prominence in Video Conference Security Systems
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Solution Overview
Problem
Current security systems face challenges in providing remote and dispersed access to first responders during incidents in facilities, leading to communication and situational awareness issues, with inadequate access and slow response efforts due to centralized console limitations and lack of two-way communication.
Innovation Solution
An incident identification system utilizing client devices within facilities to aggregate multimedia streams and enable remote access for officials and first responders, allowing dynamic prominence of relevant streams and identification of persons of interest through AI and machine learning analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If centralized security console is used, then system control is simplified, but remote access capability and response speed are limited
Solution Approach 1:
The patent divides the centralized security system into distributed client devices throughout the facility. Each client device independently monitors its local area and transmits to the cloud, eliminating the need for a single centralized console while maintaining system coordination through cloud-based aggregation of security feeds.
Solution Approach 2:
The patent introduces a cloud-based platform as an intermediary between distributed client devices and first responders. This cloud intermediary aggregates, processes, and distributes security information, enabling remote access without requiring direct connection to each client device or a centralized console.
2Loss of information
If multiple multimedia streams are monitored, then situational awareness is improved, but stream identification and prioritization become difficult
Solution Approach 1:
The patent implements continuous feedback loops where the system monitors security feeds, detects incidents or persons of interest, and dynamically adjusts the prominence of relevant streams in real-time. This feedback mechanism ensures that important information rises to the top of the display without requiring manual filtering.
Solution Approach 2:
The patent replaces manual stream identification and prioritization with AI/ML-based automated detection systems. These systems analyze video and audio content to automatically identify incidents and persons of interest, substituting human cognitive processing with automated machine learning algorithms that continuously learn and improve.
3Measurement precision
If AI analysis is applied to all streams, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies AI analysis selectively rather than uniformly to all streams. The system first performs preliminary filtering to identify potential incidents or persons of interest, then applies more intensive AI analysis only to those flagged streams. This partial action approach maintains high detection accuracy for critical events while reducing overall processing time and computational resource consumption.
Data Source
AI summary
Systems and methods for providing dynamic prominence are provided herein. In an aspect, a method may include establishing, by a video conference provider, an incident identification system and determining, by the video conference provider, client devices associated with the incident identification system. The method may also include joining, by the video conference provider, one or more of the client devices to an identification session and receiving, by the video conference provider, at least one multimedia stream from each of the one or more client devices. The method may also include determining, by the video conference provider, a relevant multimedia stream from the received multimedia streams and transmitting, by the video conference provider, an indication to increase a prominence of the relevant multimedia stream during the identification session.