Fleet Video Search for Multi-Vehicle Event Reconstruction
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Solution Overview
Problem
Existing video recording systems in vehicles, particularly fleet vehicles, often fail to capture entire events and may not provide sufficient information to identify the cause of critical events, and vehicles involved may lack recording capabilities.
Innovation Solution
A system that searches for and retrieves videos from nearby vehicles equipped with camera systems to provide an alternative view and additional relevant information for critical events, using position data analysis and interactive maps to identify nearby vehicles and request their videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If video is recorded only from the vehicle involved in the event, then the recording system is simple and easy to operate, but the video may not capture the entire event or provide sufficient information to identify the cause
Solution Approach 1:
The patent merges video data from multiple vehicles (the vehicle involved in the event and nearby vehicles with camera systems) into a comprehensive view. The video manager retrieves and combines video segments from different sources to provide complete coverage of the event, resolving the contradiction between information completeness and system complexity by pooling resources from multiple independent recording systems.
Solution Approach 2:
The system makes video data from various fleet vehicles serve multiple purposes: primary event recording, supplemental alternative views, and comprehensive event reconstruction. By enabling any vehicle in the fleet to potentially contribute video data, the system achieves multi-functionality where recording vehicles serve both their primary purpose and as potential supplemental sources, thereby improving information completeness without requiring dedicated complex equipment at each vehicle.
2Reliability
If video is recorded only from the vehicle involved in the event, then the device complexity is low, but the video may not be available if the vehicle lacks recording capabilities
Solution Approach 1:
The system performs preliminary actions by pre-identifying and pre-storing video data from nearby vehicles before an event occurs. The video manager maintains a repository of video segments from multiple fleet vehicles, so when an event happens, the data is already available for immediate retrieval. This preliminary preparation ensures video availability without adding complexity to the moment-of-event recording process.
Solution Approach 2:
The patent implements beforehand cushioning by creating redundancy through multiple video sources. Instead of relying on a single vehicle's recording capability, the system pre-positiones alternative video sources (nearby vehicles with camera systems) that can compensate if the primary vehicle lacks recording capabilities or fails to record. This cushioning approach ensures reliability while maintaining simple individual vehicle systems.
3Loss of information
If the system searches for and retrieves videos from multiple nearby vehicles, then alternative views and additional information are obtained, but the search and retrieval process becomes more complex
Solution Approach 1:
The video manager automatically performs the complex tasks of searching for, identifying, and retrieving video segments from multiple nearby vehicles without requiring manual intervention. The system self-services by autonomously querying the video data repository, matching video data to events based on location and time, and assembling the comprehensive video package. This automation resolves the contradiction by making the system operationally simple for users while performing complex backend operations automatically.
Solution Approach 2:
The video manager acts as an intermediary that simplifies the complex process of multi-vehicle video retrieval. It mediates between the user's simple request and the complex video data repository, handling all the intricate tasks of searching, filtering, and retrieving videos from multiple sources. The intermediary absorbs the complexity, presenting a simple interface to users while managing the complex backend operations of coordinating multiple video sources.
Data Source
AI summary
Methods and devices for requesting videos may include performing a search for one or more vehicles that have a camera system located nearby an event during a time range surrounding the event. The methods and devices may include receiving a selection of at least one vehicle from a search result list including the one or more vehicles. The methods and devices may include retrieving, from a video data repository associated with the at least one vehicle, a requested video during the time range surrounding the event. The methods and devices may include displaying the requested video.