Display Device Eyewear Detection and Parameter Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Display devices struggle to optimize visual clarity and comfort under varying lighting conditions, particularly when users wear eyewear that affects light transmission, as existing technologies fail to accurately adjust display settings in real-time based on the presence and type of eyewear.
Innovation Solution
A method and apparatus that utilize eyewear detection through image processing and object recognition to adjust display parameters, such as luminance and polarization, based on the presence and type of eyewear worn by the user, ensuring optimal visual clarity and comfort by compensating for optical filters and ambient conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If display parameters are adjusted to optimize visual clarity under varying lighting conditions, then visual quality improves, but device complexity increases due to real-time detection and adjustment mechanisms
Solution Approach 1:
The display device automatically detects eyewear presence and type using image processing and object recognition, then self-adjusts display parameters without user intervention. The system serves itself by using its own camera to capture images of the user's face, process the images to detect eyewear, and modify display settings accordingly, eliminating the need for external sensors or manual user input.
Solution Approach 2:
The system dynamically changes display parameters (luminance, contrast, color temperature) based on detected eyewear characteristics. When eyewear is detected, the system adjusts these parameters in real-time to compensate for the optical filtering effect, ensuring optimal visual output despite the presence of sunglasses or other eyewear that alters light transmission.
2Adaptability or versatility
If real-time eyewear detection is implemented using image processing, then adaptability to user conditions improves, but processing time and computational resources increase
Solution Approach 1:
The system performs eyewear detection continuously or at predetermined intervals before content is fully displayed, so that display parameters are already optimized when the user views content. By proactively detecting eyewear presence and adjusting settings in advance, the system minimizes delays and ensures immediate adaptability without noticeable processing lag during actual content consumption.
Solution Approach 2:
The system focuses image processing resources on specific regions of interest (such as the eye area) rather than processing entire images, and uses simplified object recognition algorithms tailored for eyewear detection. This selective approach reduces computational burden and processing time while maintaining high detection accuracy for the specific task of identifying eyewear type and presence.
3Loss of information
If display luminance is increased to compensate for darkening eyewear, then visual legibility improves, but power consumption increases
Solution Approach 1:
Instead of simply increasing luminance, the system intelligently adjusts multiple display parameters including luminance, contrast, and color temperature based on the specific type of eyewear detected. For lightly tinted eyewear, minimal luminance adjustment is applied, while for dark sunglasses, more significant adjustments are made. This selective parameter adjustment optimizes visual legibility while minimizing unnecessary power consumption that would result from blanket luminance increases.
Data Source
AI summary
Examples of the present disclosure relate to methods for controlling a display device. In one such example, data representing a result of an eyewear detection operation is obtained. Dependent on the obtained data, a control signal is outputted to adjust a display parameter of the display device. Performing the eyewear detection operation comprises receiving image data representing a user of the display device, and processing the image data using object recognition to determine whether or not the user is wearing eyewear of a predetermined type.


