Role-Based Video Alerting for Public Safety Response
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Solution Overview
Problem
Public safety events captured by video or audio recordings often contain content that is of interest to different user roles, such as paramedics or police officers, but existing systems fail to automatically alert groups of users to relevant content based on their specific roles, leading to inefficiencies in response efforts.
Innovation Solution
A system and method that utilize a camera, electronic computing device, and user devices connected via a network to collect viewing metrics from users, analyze interest levels, and generate role-based video summaries or train neural networks to identify and alert user devices to content of interest, ensuring that relevant video or audio segments are efficiently disseminated to groups based on user roles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all video content is sent to all user devices, then complete information is provided, but information overload occurs and response efficiency decreases
Solution Approach 1:
The system applies local quality by customizing video content delivery according to user roles. Different user groups (e.g., law enforcement, medical personnel, public information) receive different portions or versions of the same video event based on their specific informational needs, rather than uniformly distributing all content to all users.
Solution Approach 2:
The video content is segmented into role-specific portions. The system divides the complete video event into multiple segments or highlights that are relevant to different user roles, delivering only the necessary segments to each user group, thereby reducing information overload while maintaining completeness for each user's specific needs.
2Productivity
If role-specific video filtering is implemented, then response efficiency improves, but system complexity increases
Solution Approach 1:
The system performs preliminary action by pre-tagging and categorizing video content according to user roles before distribution. Video events are analyzed and segmented in advance with metadata indicating relevance to different user groups, so that when users need information, the filtering has already been performed, reducing real-time processing complexity.
Solution Approach 2:
The server acts as an intermediary that handles the complex filtering and segmentation logic. Rather than embedding complex filtering algorithms in each user device, the server performs the role-based filtering centrally and delivers pre-processed video segments to users, simplifying the complexity burden from individual devices.
3Loss of information
If video content is customized for different user roles, then information relevance increases, but processing time increases
Solution Approach 1:
The system performs preliminary action by pre-processing and tagging video content with role-relevance metadata during or immediately after event capture. This advance preparation allows the system to quickly retrieve and deliver relevant segments without performing complex filtering in real-time, thus maintaining high information relevance while minimizing processing delays when users need the information.
Data Source
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AI summary
A method and apparatus for alerting groups of user devices to similar video content of interest based on role. The method includes providing a first video to groups of user devices, each having an associated user role, receiving viewing metrics indicative of levels of viewing interest for the first video from a first group of user devices associated with a particular user role, and when a level of viewing interest is above a predetermined threshold, classifying one or more corresponding first video frames of the first video as frames of interest. The method further includes receiving a second video, determining, using the frames of interest, that video content of the second video is of interest to a second group of user devices having the particular user role, and providing an alert to the second group of user devices.