Parked Vehicle Video Recording With Static Motion Area Filtering
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Solution Overview
Problem
Existing vehicle video recording systems face challenges in extending the duration of always-on recording mode while parked due to limited battery capacity, leading to unnecessary battery consumption and recording of static object movements.
Innovation Solution
A method and system that detect and differentiate between static and dynamic objects by generating a static motion area based on motion information, turning off video recording when the object remains within this area, and adjusting sensitivity settings to reduce unnecessary recording.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If always-on recording mode is used in parked state, then video recording duration is extended, but battery consumption increases
Solution Approach 1:
The system dynamically adjusts recording status based on real-time motion detection. The controller continuously monitors motion information from sensors and automatically turns recording on or off depending on whether motion is detected, transforming the static always-on recording mode into a dynamic adaptive mode that responds to environmental conditions.
Solution Approach 2:
The system changes the operational parameter of recording status from fixed (always on) to variable (on/off based on motion detection). By modifying the recording status parameter according to detected motion conditions, the system optimizes battery consumption while maintaining recording capability when needed.
2Measurement precision
If motion detection sensitivity is increased, then dynamic objects are detected accurately, but static objects cause unnecessary recording
Solution Approach 1:
The system performs preliminary action by collecting motion information for a first set time before triggering recording. During this preliminary collection period, the system gathers and analyzes motion data to distinguish between static and dynamic objects, making a preliminary determination before initiating full recording operation.
Solution Approach 2:
The system uses feedback from continuous motion information collection to adjust recording status. The controller analyzes motion patterns in real-time and provides feedback to the recording system, turning recording on when dynamic objects are confirmed and off when static objects are identified, creating a closed-loop control system.
3Reliability
If recording continues for static objects, then all motion is captured, but battery capacity is depleted faster
Solution Approach 1:
The system extracts and separates static motion patterns from dynamic motion patterns through analysis of motion information characteristics. By identifying and extracting static object motion characteristics (such as consistent patterns within a defined area), the system can filter these out and only record truly dynamic events, removing unnecessary recording operations.
Solution Approach 2:
The system applies different recording strategies to different spatial regions. By defining a static motion area based on collected motion information and applying localized quality control, the system allows motion detection in specific areas while excluding others, optimizing both recording completeness and energy consumption based on local motion characteristics.
Data Source
AI summary
Disclosed is a vehicle video recording method to perform video recording upon detecting a motion of an object around a vehicle in a parked state. The method for controlling the vehicle video recording system includes collecting motion information of a first object with a continuous motion in an area for a first set time; generating a static motion area based on the motion information collected during the first set time, and in response to the motion of the first object being a motion in the static motion area, turning off a video recording function for the motion of the first object.