Annotated Incident Recreation With Sensor-Linked Video Overlays
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems struggle to gather a thorough set of data from various electronic devices present at an incident site, making it difficult to analyze incidents by recreating events before, during, or after the incident.
Innovation Solution
Annotated video technology that combines sensor data with video footage to recreate incidents, overlaying relevant event data such as timestamps and descriptions, allowing for a comprehensive understanding of incident causes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple electronic devices and sensors are deployed to collect incident data, then the quantity and completeness of incident-related data is improved, but the difficulty of gathering and integrating data from these devices increases
Solution Approach 1:
The patent merges data from multiple electronic devices (traffic cameras, security cameras, mobile devices, sensors) into a unified incident recreation system. The system combines video footage, sensor data, and event information into a single integrated platform that automatically correlates and displays data from all sources together, resolving the complexity of managing multiple separate data streams.
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between various data sources and the final incident recreation output. This intermediary system automatically receives, processes, correlates, and integrates data from multiple devices, reducing the manual effort and complexity required to gather and synthesize information from diverse sources.
2Loss of information
If comprehensive data collection from multiple sources is implemented, then the understanding of incident causes is improved, but the time and resources required to analyze the data increase
Solution Approach 1:
The patent performs preliminary actions by automatically collecting, organizing, and pre-processing incident data from multiple sources before analysis is needed. The system proactively gathers video footage, sensor readings, and event data, and prepares them for correlation and display, reducing the time required for actual incident analysis when needed.
Solution Approach 2:
The patent creates a recreated copy of the incident by synthesizing data from multiple sources into a unified visual representation. This incident recreation serves as a simplified model that preserves all relevant information while making it easier and faster to analyze than examining raw data from multiple separate sources.
3Measurement precision
If detailed event data and annotations are overlaid on video footage, then the precision of incident analysis is improved, but the complexity of processing and presenting the data increases
Solution Approach 1:
The patent segments incident data into distinct categories (video footage, sensor data, event annotations, timestamps) and processes each segment separately before integrating them. This segmentation allows for precise handling of each data type while reducing overall processing complexity through modular organization of data streams and processing steps.
Data Source
AI summary
The disclosed technology is directed towards generating an annotated visual playback of an incident. Upon obtaining notification of an incident, event data occurring in the incident zone and timeframe are obtained (e.g., collected) from sensors proximate the zone. The event data is used to annotate a visual playback captured by one or more cameras, e.g., within a timeframe ranging from some time before the incident occurred to the end of the incident. For example, a video can be presented with overlaid annotation data, each annotation describing an event as it occurred in time, in conjunction with an advancing timestamp overlay showing the time of the video frames. A simulated video, e.g., extended reality video, can also be generated, along with annotations and timeframe data, such as if captured from camera(s) from one or more various different perspectives.