Dashcam Impact Suppression for Speed Bump Passage
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Solution Overview
Problem
Conventional video recording devices in vehicles face issues such as battery discharge, insufficient storage capacity, loss of important video data, and shortened lifespan of non-volatile storage media due to continuous recording of impact events while driving over speed bumps.
Innovation Solution
A method and system that bypass the impact event recording threshold when a vehicle approaches a speed bump, predicting the time of passage and halting event recording mode if certain conditions are met, such as the presence of an approaching object or sudden vehicle stops, to prevent unnecessary video storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If event recording mode is activated to record videos when impact events occur, then storage capacity is used more efficiently and battery discharge is reduced, but videos of normal driving conditions (such as passing speed bumps) are incorrectly recorded and stored, causing memory overload and potential loss of important accident videos
Solution Approach 1:
The system performs preliminary identification of speed bumps using image recognition or map data before the vehicle reaches them. When a speed bump is detected ahead, the system pre-activates a suppression mode that prevents impact event recording during the anticipated passage, thereby avoiding unnecessary video storage while maintaining efficient storage usage for actual accidents.
Solution Approach 2:
The system introduces an intermediary judgment layer between the G-sensor impact detection and video recording activation. This intermediary layer analyzes additional context (image recognition results, map data, vehicle speed) to distinguish between harmful impacts (accidents) and normal vibrations (speed bumps), thereby improving detection accuracy without increasing storage volume.
2Reliability
If continuous recording mode is used to capture all videos, then all vehicle accidents are recorded, but vehicle battery is discharged continuously, storage capacity is insufficient, and important video data may be lost due to overwriting
Solution Approach 1:
The system extracts and removes unnecessary video recording scenarios (normal speed bump passage) from the continuous recording mode by introducing intelligent identification. This extraction allows the system to maintain continuous monitoring capability while eliminating redundant video storage, thereby reducing battery power consumption and preventing storage capacity exhaustion.
3Measurement precision
If the G-sensor threshold is set low to detect all impact events, then more videos are stored including speed bump passages, but this causes memory overload and shortens flash memory lifespan, requiring frequent replacement
Solution Approach 1:
The system applies different recording policies to different spatial locations and contexts. When a speed bump is identified at a specific location, the system locally suppresses recording during passage through that location, while maintaining normal sensitive recording elsewhere. This localized quality adjustment preserves detection sensitivity without causing memory overload from unnecessary recordings.
Data Source
AI summary
According to the present disclosure, a G value equal to or higher than threshold, which is a reference point of recording an impact event, may be bypassed at the time when a vehicle passes over a speed bump ahead on the path on which the vehicle is driving to prevent recording of impact events, so that the impact event resulting from an impact caused by the speed bump may be disregarded at the time when the vehicle passes over the speed bump after the speed bump has been perceived, thereby preventing unnecessary videos from being stored in a memory.