Camera System Identifying Persons of Interest Within Field-of-View
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Solution Overview
Problem
First responders, such as police officers, often face challenges in collecting all available evidence during incidents due to their busy nature, leading to inefficient use of cameras and storage resources, especially when irrelevant evidence is collected or overlooked.
Innovation Solution
An electronic device system that communicates with cameras to identify a person-of-interest and determine their location within the field-of-view of another camera, providing notifications via mobile devices or smart glasses if they are within the camera's view, thereby optimizing evidence collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If first responders manually collect evidence using cameras during incidents, then evidence can be captured, but irrelevant evidence is collected and storage resources are wasted
Solution Approach 1:
The system enables cameras to automatically identify persons of interest and determine whether they are within the field-of-view, eliminating the need for manual review by first responders. The camera system serves itself by making autonomous decisions about what evidence to capture, thereby reducing storage waste while improving collection efficiency.
Solution Approach 2:
The system provides real-time feedback to first responders through notifications when a person of interest is detected within the camera's field-of-view. This feedback loop enables responders to immediately adjust their actions to ensure relevant evidence is captured, optimizing both storage utilization and collection efficiency.
2Productivity
If first responders focus on incident response tasks, then incident handling is effective, but evidence collection is neglected
Solution Approach 1:
The camera system acts as an intermediary between the incident scene and the first responders. It automatically performs the evidence collection function by identifying persons of interest and monitoring their location relative to the field-of-view, allowing responders to focus on incident handling while the system ensures evidence is captured.
Solution Approach 2:
The evidence collection process is automated through the camera system's ability to independently identify persons of interest and determine their location within the field-of-view. This self-service capability ensures evidence collection occurs simultaneously with incident response without requiring additional responder attention.
3Loss of information
If multiple cameras are deployed to capture all potential evidence, then evidence coverage is improved, but camera and processing resources are wasted
Solution Approach 1:
The system extracts and processes only the critical information needed for evidence determination - specifically, whether a person of interest is within the field-of-view. By focusing computational resources on this single key question rather than analyzing all camera footage comprehensively, the system achieves complete evidence coverage with minimal processing resource expenditure.
Data Source
AI summary
A device, system and method for notifying a person-of-interest of their location within an estimated field-of-view of a camera is provided. The device: identifies a person-of-interest in an area proximal one or more of a first camera and the device; receives and processes images from the first camera to identify a second camera located in the area; determines a location of the person-of-interest; and determines, from the images, a respective location and estimated field-of-view of the second camera; determines, by comparing the location of the person-of-interest and the respective location and estimated field-of-view of the second camera, whether the person-of-interest is located within the estimated field-of-view of the second camera; and, when the person-of-interest is located within the estimated field-of-view of the second camera, controls a notification device to provide a notification to notify the person-of-interest of their location within the estimated field-of-view of the second camera.