Wearable Camera Activity Alerts for Hands-Free Crowd Searches
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Solution Overview
Problem
Public safety personnel face challenges in identifying individuals or objects in a crowd due to the need to repeatedly compare photos with the crowd, diverting their attention and potentially missing the target.
Innovation Solution
A system and method that utilizes a computing device to analyze images from a camera worn by the personnel, identifying a distinguishing activity of the target object, and provides a heads-up, hands-free notification to the user, allowing them to focus on the activity rather than appearance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If public safety personnel repeatedly compare photos with the crowd to identify the target, then identification accuracy is improved, but attention is diverted and the target may be missed
Solution Approach 1:
The system performs preliminary analysis of crowd images to pre-identify potential target candidates and their distinguishing activities before the officer needs to make a determination. This allows the officer to receive ready-filtered information about who to look for and what distinctive actions to observe, rather than starting from scratch with photo comparison.
Solution Approach 2:
The notification device acts as an intermediary between the image analysis system and the public safety personnel. It translates complex image data and activity recognition results into simple, actionable notifications that guide the officer's attention to specific individuals performing distinctive actions, reducing the cognitive load of photo comparison.
2Measurement precision
If public safety personnel focus on comparing photos with the crowd, then appearance matching is improved, but they deviate from eyes-up hands-free mode
Solution Approach 1:
The system replaces the manual mechanical process of photo comparison with an automated computational image analysis system. The computing device performs the appearance matching task that would otherwise require the officer to manually compare photos with individuals in the crowd, freeing the officer's hands and eyes for other tasks while maintaining accurate identification.
Solution Approach 2:
Instead of requiring the officer to physically handle and compare photo copies with the crowd, the system creates a digital copy of the target appearance data and processes it through automated recognition algorithms. The notification device then presents the results without requiring the officer to manipulate physical or digital photo copies.
3Productivity
If the system highlights distinctive actions rather than appearance, then target location speed is improved, but reliance on activity recognition increases
Solution Approach 1:
The system extracts and highlights only the most relevant distinguishing features (distinctive actions) from the complex stream of image data, rather than presenting all possible analysis results. This extraction of key information simplifies the notification content while maintaining high target location speed, as officers receive focused guidance on what to look for.
Solution Approach 2:
The system performs comprehensive activity recognition analysis on all detected individuals but only notifies the officer about those with distinctive actions that match the target description. This partial reporting approach avoids overwhelming the officer with unnecessary information while ensuring no potential targets are missed, balancing system complexity with operational effectiveness.
Data Source
AI summary
A device, method and system for providing a notification of a distinguishing activity is provided. A devices receives information describing an appearance of a target object. The device determines, using the information, that the target object is located in images acquired by a camera. The device determines a distinguishing activity of the target object in the images. The device controls a notification device to provide a notification of the distinguishing activity.