Person-of-Interest Categorization for Public Safety Response
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Solution Overview
Problem
During public-safety incidents, determining the location of persons in danger within monitored areas and implementing appropriate electronic responses is challenging for first responders due to the complexity of tracking individuals and categorizing risk levels.
Innovation Solution
A system and method that utilize cameras and computing devices to create an attendee list, categorize persons-of-interest based on their location and monitoring status, and trigger specific electronic actions such as search and rescue protocols, evacuation messages, or communication with first responders based on risk categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking and categorization of persons in monitored areas is used during public-safety incidents, then first responders can identify individuals in danger, but the process becomes time-consuming and complex
Solution Approach 1:
The system performs preliminary actions by automatically maintaining an attendee list of persons in the monitored area before the incident occurs. When an incident is detected, the system has already categorized persons into risk groups based on their locations, enabling immediate response without time-consuming manual assessment during the emergency.
Solution Approach 2:
The patent replaces manual mechanical tracking and categorization methods with an automated computing system that uses cameras and image processing to detect persons, determine their locations, and categorize them into risk groups automatically, eliminating the time and complexity of manual operations.
2Productivity
If automated camera-based tracking system is implemented to monitor persons in real-time, then response time is reduced, but system complexity increases
Solution Approach 1:
The computing device performs multiple functions using a single integrated system: it maintains the attendee list, detects incidents, determines person locations via camera images, categorizes persons into risk groups, and triggers appropriate responses. This multi-functionality reduces the need for separate complex subsystems while improving response efficiency.
Solution Approach 2:
The system is self-sufficient in that the computing device automatically performs all operations including image processing, location determination, risk categorization, and response triggering without requiring external manual intervention or additional complex supporting systems, thereby improving productivity while managing complexity.
3Ease of operation
If detailed categorization of persons into multiple risk groups is performed, then targeted response actions are improved, but the complexity of determining and managing categories increases
Solution Approach 1:
The system segments persons into distinct risk groups (first risk group for persons closer to the incident, second risk group for persons farther away) based on their locations relative to the incident. This segmentation enables targeted response actions for each group while keeping the categorization logic relatively simple and manageable.
Data Source
AI summary
A device, system, and method for causing electronic actions for categories of persons-of-interest (POI) is provided. A device maintains an attendee list of persons located within a given area using images received from cameras monitoring the given area. In response to determining that the given area meets a given condition the device: uses a current version of the attendee list to generate a POI list of POIs within the given area; categorizes, using the images received from the cameras, the POIs into given categories based on: whether a POI is being monitored by the cameras; whether a location associated with the POI is determined; and, the location associated with the POI, when determined; and causes one or more respective electronic actions to occur in relation to respective POIs associated with a given category into which the respective POIs are categorized.