Interactive Security Display for Prioritized Video Event Review
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Solution Overview
Problem
Existing security systems are inefficient in managing high volumes of event records, often requiring numerous monitoring agents to handle disparate types of events, leading to unnecessary dispatches and inadequate decision-making support for monitoring agents.
Innovation Solution
A security system that filters, prioritizes, and distributes event records based on content analysis and contextual data, allowing for interactive user interfaces to enhance monitoring agent decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple monitoring agents are deployed to handle high volumes of event records, then event coverage is improved, but operational complexity and cost increase
Solution Approach 1:
An AI-powered prioritization system acts as an intermediary between event sources and monitoring agents, automatically analyzing event records, determining priority levels, and routing high-priority events to appropriate agents. This intermediary layer filters and organizes events before they reach human agents, maintaining high event handling capacity while reducing the number of agents needed and simplifying system coordination.
2Loss of information
If all event records are presented to monitoring agents, then complete information is provided, but cognitive load on agents increases
Solution Approach 1:
The system applies different levels of information processing and presentation to different event records based on their priority and type. High-priority events receive comprehensive analysis and are presented with all relevant details, while lower-priority events are filtered or summarized. This local differentiation ensures agents receive complete information for critical decisions while reducing cognitive load for routine events.
Solution Approach 2:
The AI system performs preliminary analysis, filtering, and organization of event records before presenting them to monitoring agents. It pre-processes data to highlight critical information, summarize key details, and arrange events in priority order, so agents receive pre-organized information that reduces their cognitive processing requirements while maintaining completeness for high-priority events.
3Loss of time
If event records are processed quickly, then response time is improved, but analysis accuracy may deteriorate
Solution Approach 1:
The system implements periodic or batch processing of event records at different priority levels. High-priority events are processed immediately with rapid AI analysis, while lower-priority events are processed in batches with more comprehensive analysis. This periodic differentiation enables fast response times for critical events while maintaining high analysis accuracy through dedicated processing cycles for each priority level.
Data Source
AI summary
In some embodiments, a method may involve causing a computing device to display on a screen first video received from a camera at a monitored location, and causing the computing device to display at least a first user interface element on the screen, together with the first video, the first user interface element indicative of a feature detected in second video received from the camera. In response to detecting selection of the first user interface element, the computing device may be caused to display a portion of the second video in which the feature was detected, together with the first video and the first user interface element.