Area-Based Video Recording for Event Data Recorders
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Solution Overview
Problem
Existing vehicle accident recording devices, or event data recorders (EDRs), lack the ability to automatically adjust video recording settings based on the vehicle's location, leading to inefficient recording and increased storage of unnecessary data.
Innovation Solution
An area-based video recording setting method and system that uses geographic navigation information to classify areas and automatically adjust the video recording settings, including activation states and recording functions, based on the vehicle's location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the EDR uses a simple ON/OFF recording method, then the device complexity is low, but the adaptability to different driving and parking situations is insufficient
Solution Approach 1:
The recording settings are made dynamic by automatically adjusting them based on the vehicle's current state (driving or parking) and location (classified areas). The system transitions from static ON/OFF settings to dynamic settings that change according to real-time conditions, resolving the contradiction between simplicity and adaptability.
Solution Approach 2:
The system changes recording parameters (recording activation state, recording function) based on detected conditions such as vehicle state and location. By automatically modifying these parameters according to the current situation, the system achieves high adaptability without requiring complex manual configuration.
2Measurement precision
If the EDR stores videos continuously for 15 seconds to 5 minutes before an event, then the measurement precision of event-related videos is improved, but the quantity of stored unnecessary data increases
Solution Approach 1:
The system applies different recording strategies to different classified areas based on their characteristics. Instead of uniform continuous recording everywhere, it adjusts the recording duration and activation state according to the specific risks and characteristics of each area, thereby reducing unnecessary data storage while maintaining event capture accuracy where needed.
Solution Approach 2:
The system performs preliminary classification of areas into different categories (e.g., high-risk, medium-risk, low-risk areas) before the actual recording event. This preliminary action allows the system to pre-configulate appropriate recording durations and activation states for each area type, avoiding unnecessary data storage in low-risk areas while ensuring adequate capture in high-risk areas.
3Ease of operation
If the user manually changes recording settings while driving, then the ease of operation is improved, but the safety is compromised
Solution Approach 1:
The system performs self-service by automatically adjusting recording settings based on detected vehicle state and location without requiring user intervention. The system monitors its own operating conditions and makes appropriate recording decisions autonomously, eliminating the need for manual setting changes while driving and thus maintaining both ease of operation and driving safety.
4Reliability
If the EDR records videos in all classified areas, then the reliability of event recording is improved, but the use of energy increases
Solution Approach 1:
The system applies partial recording action by selectively activating recording functions only in classified areas where events are more likely to occur, rather than recording uniformly across all areas. This partial action approach maintains reliable event recording in critical areas while significantly reducing energy consumption in areas where recording is less critical.
Data Source
AI summary
An area-based video recording setting method includes setting at least two classified areas based on geographic navigation information, setting an activation state of video recording for each of the classified areas, acquiring location information of a vehicle based on the navigation information and global positioning system (GPS) location information, and determining whether the acquired location information corresponds to a location in the classified areas. In response to a determination that the location is in the classified areas, the video recording is performed according to the set activation state of the video recording.