Vehicle Entry Authentication Using Staged Camera Activation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing smart entry systems for vehicles face high power consumption due to continuous image processing by in-vehicle cameras, which increases energy usage and reduces efficiency.
Innovation Solution
A vehicle control device and method that utilize a combination of low-resolution and high-resolution cameras, along with object detection sensors, to selectively activate camera processes based on detected targets, reducing unnecessary power consumption and enhancing authentication accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the in-vehicle camera constantly executes image capture and processing to recognize the target person, then the target person can be accurately recognized, but the power consumption of the camera increases
Solution Approach 1:
The patent segments the target recognition process into multiple stages: initial detection by low-resolution cameras, candidate selection, and detailed verification by high-resolution cameras. This segmentation allows the system to use power-consuming high-resolution cameras only when necessary, rather than continuously, thereby reducing overall power consumption while maintaining recognition accuracy.
Solution Approach 2:
The system implements periodic action by activating high-resolution cameras only at specific moments when targets are detected by low-resolution cameras, rather than maintaining continuous operation. This on-demand activation pattern significantly reduces power consumption while ensuring accurate recognition when needed.
2Measurement precision
If the in-vehicle camera operates at high resolution continuously, then authentication accuracy is improved, but energy consumption increases
Solution Approach 1:
The patent applies local quality by using different camera resolutions in different spatial and operational contexts. Low-resolution cameras are used for wide-area initial scanning, while high-resolution cameras are activated only for specific candidate targets that require detailed verification. This localized use of high quality resources maintains authentication accuracy while reducing overall energy consumption.
Solution Approach 2:
The system performs partial action by using high-resolution cameras only for a subset of detected targets rather than all targets. The low-resolution cameras perform the initial screening, and only promising candidates are subjected to high-resolution verification, making the high-resolution capability partially applied rather than fully utilized continuously.
3Measurement precision
If the object detection sensor maintains high detection sensitivity and range, then target detection accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamics by making the object detection sensor's operating parameters adjustable rather than fixed. The detection sensitivity and range are dynamically adjusted based on environmental conditions, presence of multiple targets, and system state. This allows the sensor to operate at high performance when needed while reducing power consumption during periods of lower demand.
Data Source
AI summary
A vehicle control device includes: a peripheral target recognition unit that, based on a detection signal of an object detection sensor, recognizes a target existing around a vehicle; a person determination unit that, when the target is recognized, executes a person determination process of capturing the target with a first camera having a first resolution, and determining whether the target is a person; and a user authentication unit that, when the target is determined to be the person, executes a first user authentication process of capturing a first target person determined to be the person by the person determination unit, with a second camera having a second resolution higher than the first resolution, and collating a face image of the first target person with a face image of a registered user of the vehicle to determine whether the first target person is the registered user.


