Vehicle Display Adjustment Using Pupil Response Feedback
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Solution Overview
Problem
Existing vehicle systems that adjust display settings based on ambient light measurements are prone to inaccuracies, leading to suboptimal display brightness, contrast, and color for vehicle occupants.
Innovation Solution
A method that uses a camera to capture video of the vehicle occupant and detect involuntary biological responses, such as pupil size changes, and voluntary actions, to automatically adjust the display settings, including brightness, color, and contrast, using machine learning to predict optimal settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light sensors are used to measure ambient light and adjust display settings, then the display brightness can be automatically adjusted, but the measurement accuracy is insufficient leading to inaccurate display settings
Solution Approach 1:
The patent introduces an intermediary approach by using a camera to capture images of the occupant's eye and analyzing pupil size as an indirect indicator of ambient light conditions. This mediator (pupil size analysis) provides more accurate measurement of the occupant's actual light perception compared to direct ambient light sensing, resolving the measurement accuracy issue while maintaining system simplicity.
Solution Approach 2:
The patent replaces the traditional mechanical/optical light sensing system with a vision-based system using a camera and image processing algorithms. This substitution allows for more precise measurement of light effects on the occupant by analyzing biological responses (pupil size) rather than relying on ambient light measurements alone.
2Reliability
If ambient light sensors are used to adjust display settings, then automatic brightness control is achieved, but the display settings do not accurately reflect occupant needs
Solution Approach 1:
The patent implements self-service by having the system automatically detect the occupant's light perception needs through pupil size analysis and adjust display settings without requiring any manual input from the occupant. The system serves itself by using the occupant's own biological response as the control signal, eliminating the need for manual interaction while improving reliability.
Solution Approach 2:
The patent introduces a feedback mechanism by continuously monitoring the occupant's pupil size in response to display brightness and ambient light conditions. This biological feedback loop allows the system to automatically adapt display settings to match the occupant's actual visual needs, significantly improving setting accuracy compared to open-loop ambient light sensing.
3Ease of manufacture
If standard light sensors are used for display control, then the system is simple to implement, but the display brightness and contrast are not optimized for occupant comfort
Solution Approach 1:
The patent applies universality by using a camera - a common vehicle component for other purposes - to serve multiple functions including occupant detection, eye tracking, and pupil size analysis for display control. This multi-functional use of existing hardware maintains ease of manufacture while significantly improving adaptability to individual occupant needs.
Solution Approach 2:
The patent changes the control parameter from ambient light intensity to pupil size as the indicator of light perception needs. This parameter change enables the system to directly measure the occupant's physiological response to lighting conditions, improving adaptability while using standard image processing techniques that maintain implementation simplicity.
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
This approach provides more accurate and personalized adjustments to display settings, enhancing occupant comfort and usability by directly responding to the occupant's biological and voluntary responses to ambient light.
Implementation Method 1
detecting an involuntary biological response to an intensity of an ambient light inside the vehicle, the involuntary biological response being a change in size of a pupil of the vehicle occupant
Data Source
AI summary
A method for controlling the display of a vehicle includes receiving a video of a vehicle occupant inside the vehicle, detecting an action of the vehicle occupant of the vehicle using the video of the vehicle occupant inside the vehicle, and in response to detecting the action of the vehicle occupant, automatically adjusting a setting of the display of the vehicle based on the detected action of the vehicle occupant.


