Dashcam Footage Extraction for Fleet Management
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Solution Overview
Problem
Current systems fail to effectively manage and monitor driver fatigue and drowsiness in real-time, especially in large fleets, as existing devices rely on manual reporting and dashcam videos, which are impractical for widespread implementation due to storage and management challenges.
Innovation Solution
A management assistance system equipped with imaging, monitoring devices, and an instructing terminal that automatically records and transmits dashcam footage when a driver's state reaches a level of concern, reducing storage needs and enabling easy review of near-miss events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all dashcam videos from multiple vehicles are stored on the server, then complete driving state records are available for review, but storage requirements become prohibitively large and costs increase
Solution Approach 1:
The system extracts only the necessary dashcam video segments corresponding to warning sound notification periods from the complete dashcam videos. Instead of storing all driving footage, only the relevant portions (when warnings were issued) are saved on the server, dramatically reducing storage requirements while preserving critical driving state information for management review
Solution Approach 2:
The system performs preliminary processing of dashcam videos by identifying and marking segments that correspond to warning sound notification periods. This preliminary action allows the system to selectively store only relevant footage beforehand, rather than storing complete videos and filtering them later, optimizing storage efficiency from the outset
2Quantity of substance
If dashcam videos are deleted after a short period, then storage requirements are reduced, but the ability to review past driving states is lost
Solution Approach 1:
The system extracts and preserves only the critical segments of dashcam videos that correspond to warning sound notification periods. By storing only these extracted relevant segments rather than complete videos or all footage, the system maintains essential driving state information for management review while keeping storage requirements minimal and avoiding the need to retain large volumes of unnecessary footage
3Ease of operation
If manual reporting of warning sounds is required, then drivers can communicate their status, but the accuracy and completeness of reported information decreases
Solution Approach 1:
The system provides automatic feedback to drivers through warning sounds that are generated based on real-time analysis of their driving state by the operation manager. This closed-loop feedback mechanism replaces imprecise manual reporting with objective, automated state assessment, improving both the accuracy of driving state information and the ease of operation by eliminating the need for manual reporting
Solution Approach 2:
The system replaces the mechanical process of manual reporting with an automated electronic system that objectively detects and communicates driving state information. This substitution eliminates human error and subjectivity in reporting, providing precise and reliable driving state data while simplifying the overall operation process
4Measurement precision
If operation managers review all dashcam videos, then complete oversight of driver behavior is achieved, but the time and resources required become unmanageable
Solution Approach 1:
The system extracts and presents only the specific dashcam video segments that correspond to warning sound notification periods to operation managers. This extraction approach allows managers to review critical driving events efficiently without spending excessive time analyzing complete dashcam videos or irrelevant footage, achieving effective oversight while minimizing time investment
Solution Approach 2:
The system implements partial monitoring by focusing only on the specific periods when warning sounds are issued rather than continuously monitoring all driving footage. This partial action approach provides sufficient oversight for safety management purposes without the excessive time and resource requirements of reviewing complete dashcam videos
Data Source
AI summary
A management assistance system can include: an imaging device; a first monitoring device; a second monitoring device; an instruction terminal; and a server. The instructing terminal can be configured to determine whether or not the caution determination condition is satisfied based on first monitoring information transmitted from the first monitoring device and second monitoring information transmitted from the second monitoring device, and transmit a dashcam video cut instruction signal to the imaging device when determining that the caution determination condition is satisfied. The imaging device can extract information of a predetermined time width including a reception time of the dashcam video cut instruction signal from the continuous dashcam video information to create dashcam footage information, associates the dashcam footage information with date and time information and identification information, and transmits the dashcam footage information to the server.