Fleet Driver Incident Video Linking System
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Solution Overview
Problem
Current fleet tracking systems lack the ability to associate video data with incidents, making it difficult to review and analyze driver performance effectively, as they do not automatically link video footage with incident data, leading to inefficient analysis and lack of meaningful insights for fleet operators.
Innovation Solution
A system that integrates a monitoring engine for receiving incident information from vehicle-tracking devices, a mapping engine for displaying incident locations on a map, and a video repository engine for associating video data with incident icons, allowing supervisors to review and analyze driver performance by comparing drivers within and across fleets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video data is not associated with incident data, then the system is simpler to operate, but the ability to review and analyze driver performance effectively is worsened
Solution Approach 1:
The patent merges video data with incident data by creating a unified database structure where incident records automatically include links to corresponding video footage. The video camera captures incidents and stores them in the same database as the incident information, allowing supervisors to access both data types together through a single interface, thereby eliminating the need to manually locate and extract video files while maintaining comprehensive analysis capabilities
2Device complexity
If manual location and extraction of video is required, then the system complexity is lower, but the time required for incident review is increased
Solution Approach 1:
The system performs preliminary action by automatically capturing video data at the time of incident occurrence and pre-linking it to the incident record in the database. The video camera is triggered automatically when an incident is detected, and the video file is immediately associated with the incident data, eliminating the need for supervisors to manually locate or extract video files later during the review process
3Ease of manufacture
If simple analysis is performed, then the system is easier to implement, but the meaningful information provided is reduced
Solution Approach 1:
The system implements feedback mechanisms that automatically analyze incident data and video footage to generate meaningful insights about driver performance patterns. The database structure enables automated comparison of driving behaviors against established safety metrics and peer group data, providing feedback reports that identify specific improvement areas for individual drivers while maintaining straightforward system implementation through standardized analysis algorithms
Data Source
AI summary
A system for tracking a fleet of vehicles and analyzing a driver associated with the fleet of vehicles. The system includes a monitoring engine for receiving information from a vehicle-tracking device associated with a vehicle of the fleet. A mapping engine displays, to a user, an icon indicative of an incident on a map. A video repository engine receives video data from a video camera associated with the vehicle and associates an incident video with the icon. A driver analysis engine obtains the incident information associated with a plurality of drivers and analyzes the incident information associated with the driver to generate a driver profile. The driver analysis engine compares the driver with corresponding drivers in the same and other fleets.