Vehicle Video Recording Control for Adaptive Parking Detection
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Solution Overview
Problem
Existing vehicle video recording devices face challenges in efficiently managing power consumption and reducing false detections during parking modes, especially in varying environmental conditions.
Innovation Solution
A vehicle video recording device that adjusts its motion sensor settings based on vehicle position, frequency of external object detection, and environmental factors to optimize detection zones and recording behavior, using a processor to control the camera and motion sensor settings dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the motion sensor monitoring area is enlarged to improve detection coverage, then the detection capability is improved, but the power consumption increases
Solution Approach 1:
The monitoring area is divided into multiple zones with different detection sensitivities and power consumption levels. The processor selectively activates specific monitoring zones based on the vehicle's parking location and detected movement patterns, rather than continuously monitoring the entire area at maximum sensitivity. This segmentation allows the system to maintain comprehensive detection capability while reducing overall power consumption by keeping less critical zones in lower-power states.
2Measurement precision
If the sensitivity level is increased to reduce false detections, then the detection accuracy is improved, but the false sensing frequency increases in certain environments
Solution Approach 1:
The system dynamically adjusts the motion sensor's sensitivity level based on the vehicle's geographic location and environmental context. The processor receives location information and automatically selects appropriate sensitivity parameters stored in memory that are optimized for specific parking environments. This dynamic adaptation allows the system to maintain high detection accuracy in sensitive areas while tolerating higher false sensing rates in environments where false alarms are less problematic, thereby resolving the contradiction between detection precision and false sensing frequency.
3Area of stationary object
If the detection zone is extended to cover more areas, then the monitoring coverage is improved, but the power consumption increases
Solution Approach 1:
Different regions within the monitoring coverage area are assigned different quality levels of detection. Critical areas near the vehicle receive high-sensitivity monitoring with active sensors, while peripheral areas use lower-sensitivity detection or passive monitoring modes. This local quality differentiation allows the system to extend overall monitoring coverage while concentrating power consumption only in essential zones, rather than uniformly activating all detection zones at full power.
Data Source
AI summary
An apparatus may comprise a processor and a memory storing at least one instruction that, when executed by the processor communicating with the memory, is configured to cause the apparatus to detect, using a motion sensor, a movement of an external object in a first detection zone monitored by the motion sensor. Based on the detection of the movement, the apparatus may record, using a camera, a video of a surrounding area of a vehicle, wherein the surrounding area may comprise at least a portion of the first detection zone. The apparatus may adjust one or more settings of the motion sensor for the first detection zone based on position information of the vehicle or frequency of detecting the movement of the external object in the first detection zone, and transmit, based on the adjusted one or more settings, a command to the camera to adjust recording behavior.