Video Pattern Recognition for Emergency Incident Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current emergency response systems are hindered by human limitations, leading to delayed dispatch of emergency services due to manual processing of video streams and information gathering, which can result in increased response times and potential loss of life in critical situations.
Innovation Solution
A video pattern recognition system integrated within an emergency response system that automates the identification of potential incidents and dispatches appropriate personnel by analyzing video feeds from surveillance cameras, reducing the need for manual monitoring and enhancing response efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring of video streams by security personnel is used, then incident detection can be performed, but response time is delayed and human errors may occur
Solution Approach 1:
The patent replaces the mechanical human monitoring system with an automated computer-based video analysis system. The system uses software algorithms to automatically detect incidents in video streams, eliminating the need for manual review by security personnel while maintaining or improving detection accuracy and significantly reducing response time.
Solution Approach 2:
The system enables self-service by allowing the video monitoring system to automatically perform incident detection and alert generation without human intervention. The automated system monitors itself, detects anomalies, and triggers appropriate responses, freeing human operators from continuous manual monitoring tasks.
2Ease of operation
If manual information gathering and dispatching by operators is used, then emergency services can be coordinated, but dispatch time is delayed due to human limitations
Solution Approach 1:
The patent replaces manual operator-based information gathering and dispatching with an automated system that uses video analysis to extract incident information and automatically generates dispatch alerts. This substitution eliminates human response delays while maintaining the coordination function through automated communication channels.
Solution Approach 2:
The system performs preliminary actions by pre-configuring response protocols and automatically initiating dispatch procedures upon incident detection. The automated system has pre-established communication pathways and response protocols ready to execute immediately upon detecting an incident, eliminating the time required for manual assessment and decision-making.
3Productivity
If automated video pattern recognition is implemented, then response time is reduced and productivity increases, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional automated system that performs video monitoring, incident detection, information extraction, and dispatch coordination through a single integrated platform. This universal system handles multiple tasks that would otherwise require separate manual processes, increasing productivity while managing complexity through consolidation rather than multiplication of components.
Data Source
AI summary
Video analysis capabilities can be integrated into an emergency response system and/or a video operations center (VOC) monitoring for emergency incidents. At least one computer program driven response action involving detecting patterns in video streams that comprise video of an incident can be performed. This response action can be directed to VOC personnel and/or to emergency response system personnel. Further, the response action can result in an automated responses to an emergency incident and/or to an alerting of humans monitoring video to focus on a particular video stream/incident. One such response action, which increases video capture activity at a geographic location of the incident, can occur responsive to a receipt of an emergency call by the emergency response system. Another response action can analyze at least one video stream of the geographic location and can automatically dispatch (in approximately real time) an emergency responder to the geographic location. Still another action can analyze the video stream of a geographic location, can determine a high likelihood of an emergency incident, and can provide an alert in a user interface of the emergency response system or a VOC. Video of the incident can also be provided in the user interface.