Onboard Event Detection Strategy Adjustment Using External Data
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Solution Overview
Problem
Current systems for vehicles with tractors and trailers lack effective strategies to dynamically adjust image capture and event detection based on external data, leading to suboptimal monitoring and recording of events during operations.
Innovation Solution
An onboard computer system that communicates with a central office and adjusts image capture strategies and event detection parameters in real-time using data from external sources, such as transportation management systems, to enhance event recording and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image capture and event detection strategies are fixed and not dynamically adjusted, then system simplicity is maintained, but monitoring accuracy and effectiveness deteriorate
Solution Approach 1:
The patent implements dynamic adjustment of image capture and event detection strategies based on real-time external data. The system modifies capture frequencies, resolution levels, and event detection thresholds according to current operating conditions such as road conditions, cargo type, and vehicle location, transforming fixed strategies into adaptive ones that optimize accuracy without requiring permanent system complexity
Solution Approach 2:
The system changes operational parameters of the image capture devices and event detector based on external source data. Specifically, it adjusts capture frequency, resolution, and event detection sensitivity thresholds dynamically, allowing the same hardware to operate at different performance levels depending on conditions, thereby improving detection accuracy when needed while maintaining simplicity during normal operations
2Reliability
If image capture frequency and resolution are increased continuously, then event recording completeness is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic image capture with variable frequency based on external conditions. Instead of continuous high-frequency capture, the system uses event-triggered capture combined with periodic status checks, adjusting the period between captures according to risk levels, road conditions, and cargo sensitivity. This ensures complete event recording when events occur while consuming minimal energy during normal operation
Solution Approach 2:
The system dynamically adjusts image capture parameters including frequency and resolution based on real-time conditions. When external data indicates high-risk situations or sensitive cargo, the system increases capture frequency and resolution. During low-risk periods, it reduces these parameters to minimize energy consumption, thereby maintaining recording completeness without sustained high energy usage
3Measurement precision
If event detection sensitivity is increased, then detection accuracy is improved, but false positive rate increases
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors detection results and adjusts sensitivity thresholds based on performance. When false positives are detected, the system automatically reduces sensitivity or adjusts thresholds. External source data about typical events for specific cargo types and routes is used to calibrate the detection algorithm, creating a closed-loop system that maintains high detection accuracy while minimizing false alarms through continuous optimization
Solution Approach 2:
The system applies different detection sensitivity levels to different regions, event types, or time periods based on external conditions. For example, higher sensitivity may be applied to specific cargo types during certain routes or times, while lower sensitivity is used for other conditions. This localized approach allows the system to maintain high detection accuracy for critical events while reducing false positives in contexts where they are less problematic
Data Source
AI summary
A system for use on a vehicle comprising a tractor and a trailer comprises a communications device that effects communications between the system and a remote system. The communications device is configured to receive data from the remote system. An event detector is configured to generate a trigger signal in response to detecting occurrence of predetermined events. An onboard computer is coupled to the communications device, the event detector, a media recorder, and a computer of the vehicle. One or more image capture devices at the vehicle are communicatively coupled to one or both of the onboard computer and the media recorder. The onboard computer is configured to adjust one or more parameters of the image capture devices and/or modify one or more parameters of the event detector based at least in part on the data received from the remote system.