Vehicle Abnormality Detection Threshold Control
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Solution Overview
Problem
Existing vehicle abnormality detection systems fail to adjust thresholds based on the vehicle's surroundings, making them ineffective in detecting break-ins or mischief, as they do not account for changes in illuminance, sound, or video motion information.
Innovation Solution
An abnormality detection device that adjusts thresholds based on vehicle peripheral information such as illuminance, sound, and video motion, increasing sensitivity in situations where break-ins or mischief are likely, by using a detector, vehicle information acquisition, and threshold setting units to determine abnormality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the determination threshold of the acceleration sensor is changed based on the parking state signal, then the detection sensitivity is improved, but the threshold cannot be adjusted according to the peripheral environment of the vehicle
Solution Approach 1:
The threshold setting unit dynamically adjusts the determination threshold based on real-time peripheral environment information (illuminance, sound, video motion) rather than using a fixed threshold. This allows the system to adapt its sensitivity to different environmental conditions, resolving the contradiction between maintaining detection precision and achieving environmental adaptability.
Solution Approach 2:
The system changes the threshold parameter based on environmental parameters (illuminance level, sound volume, motion information). When the vehicle is parked and peripheral conditions suggest high risk (dark environment, abnormal sounds, or detected motion), the threshold is lowered to increase detection sensitivity, thus achieving both precision and adaptability.
2Measurement precision
If the threshold is set to detect all potential abnormalities, then detection sensitivity is improved, but false detection increases
Solution Approach 1:
The system applies different threshold levels in different environmental contexts. Instead of using a uniformly low threshold that would cause false detections, it locally adapts the threshold based on peripheral information - only lowering the threshold when environmental conditions (darkness, abnormal sounds, motion) indicate genuine risk, thereby maintaining reliability while improving sensitivity where needed.
Solution Approach 2:
The threshold setting unit uses feedback from peripheral environment sensors (illuminance sensor, sound sensor, video camera) to continuously adjust the determination threshold. This feedback mechanism allows the system to distinguish between normal vibrations and potential break-in attempts, reducing false detections while maintaining high sensitivity for actual threats.
3Measurement precision
If the threshold is lowered to detect subtle abnormalities, then detection sensitivity is improved, but the system becomes more susceptible to false alarms from normal vehicle vibrations
Solution Approach 1:
The system performs preliminary assessment of the peripheral environment before determining whether to lower the threshold. By first checking illuminance, sound, and video motion information, the system preliminarily identifies high-risk situations, then adjusts the threshold accordingly. This prevents false alarms from normal vibrations during low-risk periods while maintaining sensitivity during high-risk periods.
Solution Approach 2:
The determination threshold is dynamically adjusted based on real-time environmental assessment rather than being fixed at a low level. The threshold setting unit continuously monitors peripheral conditions and adjusts the threshold upward when conditions are normal, thereby filtering out false alarms from normal vibrations, while lowering it only when environmental factors indicate potential break-in attempts.
Data Source
Figure 1(A)~1(C)
Figure 2
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AI summary
There is provided an abnormality detection device, a method for abnormality detection, a computer program for abnormality detection, and a vehicle recording device that are capable of controlling at least one threshold for detecting an abnormality according to a state of a periphery of a vehicle. The abnormality detection device includes a detector configured to detect a shake of a vehicle, a threshold setting unit configured to set at least one threshold for determining whether the detected shake of the vehicle is abnormal, a vehicle peripheral information acquisition unit configured to acquire at least one of a video around the vehicle, illuminance information around the vehicle, and sound information around the vehicle, and a vehicle information acquisition unit configured to acquire information about a driving state of the vehicle, wherein the threshold setting unit is further configured to control the at least one threshold based on the information acquired by the vehicle peripheral information acquisition unit, when the vehicle is determined to be being parked based on the information acquired by the vehicle information acquisition unit.