Vehicle Video Recording Control for Parked Battery Saving
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Solution Overview
Problem
Existing vehicle video recording devices face challenges in meeting consumer demands for long-time recording while parked, particularly due to battery limitations and false motion detections from snow, rain, or occupants.
Innovation Solution
A video recording device with a motion detection sensor, such as a radar, to detect nearby objects and determine recording based on set conditions, including occupant absence, to optimize battery usage and reduce false detections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If always-on parking recording is performed to meet consumer demand for long-time recording, then recording coverage is improved, but battery consumption increases
Solution Approach 1:
The system performs periodic motion detection at predetermined intervals during parked state instead of continuous recording. The controller activates the motion detection sensor only at these intervals to determine whether recording is necessary, thereby reducing battery consumption while maintaining adequate monitoring coverage.
Solution Approach 2:
The motion detection sensor automatically detects motion within a predetermined distance and triggers recording only when necessary. The system serves itself by autonomously determining recording needs based on detected motion, eliminating the need for always-on recording while ensuring important events are captured.
2Measurement precision
If motion detection is performed continuously to detect all motions around vehicle, then detection accuracy is improved, but false detections from snow or rain increase
Solution Approach 1:
The system performs motion detection periodically at predetermined intervals rather than continuously. This reduces the frequency of detections during adverse conditions like snow or rain, thereby reducing false detections while still capturing significant motion events that occur between intervals.
3Object-affected harmful factors
If motion detection within set distance is applied to reduce false detections, then false detection rate decreases, but recording of important events outside set distance may be missed
Solution Approach 1:
The system segments motion detection into two zones: a first set distance where motion detection is actively performed to identify nearby motions, and a second distance beyond the first set distance where motions are not detected. This segmentation allows the system to focus detection resources on nearby objects while ignoring distant objects that are less likely to pose immediate threats.
Solution Approach 2:
The system applies different detection qualities to different spatial zones. Within the first set distance, motion detection is performed with high sensitivity to capture potentially harmful nearby motions. Beyond the first set distance, the system reduces detection sensitivity or ignores motions, as distant objects are less likely to cause immediate damage to the parked vehicle.
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
Increases available recording time while parked by selectively recording only when necessary, reducing battery consumption and addressing false detections from snow, rain, or vehicle occupants.
Implementation Method 1
a motion detection sensor configured to detect a motion of a nearby object
Data Source
AI summary
Disclosed is a video recording device including a camera module configured to acquire a video of the surroundings of a vehicle, a motion detection sensor configured to detect a motion of a nearby object, a first memory configured to store the video, and a controller configured to control the storing of the video. The controller includes a second memory configured to store a computer program for storing the video, and a processor configured to execute the computer program. When the computer program is executed by the processor, the controller is configured to determine whether to store the video according to a set condition for motion detection within a set distance.