Drive Recorder Auto-Threshold Learning for Impact Detection
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Solution Overview
Problem
Existing drive recorder devices struggle to set an appropriate acceleration threshold value for starting video recording when the ignition power supply of a vehicle is turned off, leading to potential missed recordings when the door changes state and an accident occurs simultaneously.
Innovation Solution
A drive recorder device that includes a processor configured to start video recording when an impact of a predetermined acceleration threshold value or more is detected, determine whether the vehicle door changes from an open to a closed state, and learn the acceleration threshold value during a specified learning period, ensuring the threshold is appropriate for the vehicle and mounting position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed acceleration threshold value is used for determining whether to start video recording, then the device complexity is reduced, but the reliability of accurate accident detection deteriorates due to inability to adapt to different vehicles and mounting positions
Solution Approach 1:
The system performs preliminary learning of the acceleration threshold value during a designated learning period before normal operation. The processor collects acceleration data during this period and automatically determines an appropriate threshold value specific to each vehicle and mounting position, eliminating the need for manual configuration while ensuring reliable accident detection.
Solution Approach 2:
The drive recorder automatically learns and sets its own acceleration threshold value without requiring external intervention. The processor uses the acceleration sensor data collected during the learning period to self-determine the appropriate threshold, making the system adaptable to different vehicles and mounting positions while maintaining low complexity.
2Measurement precision
If the acceleration threshold value is set low to detect door state changes, then the sensitivity for door detection is improved, but false detection of accidents increases
Solution Approach 1:
The acceleration threshold value is made dynamic rather than fixed. The processor automatically adjusts the threshold based on the specific vehicle characteristics and mounting position learned during the learning period. This dynamic adaptation allows the system to accurately distinguish between normal door operations and actual accidents without requiring a universally low threshold.
Solution Approach 2:
The system changes the acceleration threshold parameter from a fixed predetermined value to a learned value specific to each vehicle. By modifying this key parameter based on empirical data collected during the learning period, the system achieves both sensitive door detection and accurate accident discrimination without false positives.
3Reliability
If the acceleration threshold value is set high to avoid false detection, then the reliability of accident detection is improved, but the ability to detect actual accidents deteriorates
Solution Approach 1:
The system performs preliminary learning during a designated period to establish the appropriate acceleration threshold before normal operation begins. This preliminary data collection and analysis phase allows the processor to determine a threshold value optimized for the specific vehicle, ensuring both high reliability and high precision in accident detection without false detection.
Solution Approach 2:
The processor uses feedback from acceleration sensor data collected during the learning period to automatically adjust and optimize the threshold value. This feedback mechanism ensures that the threshold is neither too high nor too low, but precisely calibrated to the vehicle's characteristics, achieving both reliable false detection avoidance and accurate accident detection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively sets an appropriate acceleration threshold value, reducing the likelihood of unnecessary video recordings and ensuring that recordings are initiated correctly, even when door state changes and accidents coincide.
Implementation Method 1
an impact of a predetermined acceleration threshold value or more is detected by an acceleration sensor
Data Source
AI summary
A drive recorder device starts video recording when an impact of a predetermined acceleration threshold value or more is detected by an acceleration sensor at the time of an ignition power supply of a vehicle being turned off, determines whether a door of the vehicle changes from an open state to a closed state, and learns the acceleration threshold value using the impact detected by the acceleration sensor during a learning period between a first time point at which the door changes from the open state to the closed state and a second time point which is a predetermined time before the first time point when the door changes from the open state to the closed state.