Automated Driver Log Generation via Identity Detection
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Solution Overview
Problem
Manual maintenance of driver logs is prone to human errors and is time-consuming, making it difficult to maintain accurate and up-to-date records, which are necessary for driver performance assessment and compliance with hours-of-service rules.
Innovation Solution
A system comprising a processor and memory that automatically determines driver log entries by detecting changes in driver identity using onboard sensors, such as cameras and weight sensors, and associates driving data with the correct driver, including start and stop times, trip details, and performance metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If driver logs are manually maintained by drivers, then the logs can be maintained without additional system complexity, but the accuracy and timeliness of the logs deteriorate due to human errors and time consumption
Solution Approach 1:
The patent replaces the manual mechanical process of log maintenance with an automated electronic system. Sensors detect driver identity changes and vehicle operations, and a processor automatically generates and updates log entries, eliminating human error and time consumption while improving log accuracy and timeliness.
2Ease of operation
If manual log maintenance is used, then the system remains simple to operate, but productivity deteriorates due to time consumption
Solution Approach 1:
The system performs self-service by automatically detecting driver identity changes through sensors and autonomously generating log entries without requiring driver intervention. This automation dramatically improves log update speed and productivity while the system remains easy to operate as it functions autonomously.
3Reliability
If automated sensor-based tracking is implemented, then log accuracy and timeliness improve, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The patent employs a multi-functional system where a single processor handles multiple tasks: receiving sensor data, detecting driver identity changes, generating log entries, and storing data. This consolidation approach improves log accuracy through automation while minimizing the increase in system complexity by using a universal processing unit rather than separate dedicated components for each function.
Data Source
AI summary
A system for determining a driver log entry comprises a processor and a memory. The processor is configured to determine a log start time. The processor is configured to determine a driver identity after the log start time. The processor is configured to determine whether a change to the driver identity has occurred based at least in part on a sensor data. In the event that the driver identity has changed, the processor is configured to determine a log stop time and determine a driver log entry using the log start time, the driver identity, and the log stop time.