Front Camera Exposure Adjustment for Rapid Gaze Detection
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Solution Overview
Problem
Existing electronic devices take a long time to adjust exposure parameters of cameras, leading to reduced accuracy in detecting whether human eyes are gazing at the display screen, especially in varying light conditions.
Innovation Solution
The method involves using ambient light brightness to quickly adjust exposure parameters of the front camera by referencing pre-established correspondence tables, ensuring rational image brightness and reducing the need for multiple adjustments, thereby improving detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the electronic device adjusts exposure parameters of the camera through conventional methods, then the image brightness becomes normal, but the adjustment time is long and detection accuracy is reduced
Solution Approach 1:
The system pre-establishes a correspondence table between ambient light brightness values and exposure parameter adjustment values before actual operation. When detection is needed, the device directly queries this pre-computed table rather than performing time-consuming iterative adjustments, thus achieving both normal image brightness and rapid response.
Solution Approach 2:
The patent creates a simplified model (correspondence table) that copies the relationship between ambient light brightness and optimal exposure parameters. This model allows the system to bypass complex real-time adjustment processes while maintaining accurate exposure control, effectively decoupling the complexity of exposure optimization from the detection workflow.
2Manufacturing precision
If the electronic device uses conventional exposure parameter adjustment, then image brightness is corrected, but detection accuracy of human gaze is reduced
Solution Approach 1:
The system pre-computes and stores the optimal exposure parameter adjustments for various ambient light conditions in a correspondence table. This allows the device to immediately apply the correct exposure settings when capturing images for gaze detection, ensuring optimal image quality without the time delays that would compromise detection accuracy.
Solution Approach 2:
The system uses ambient light brightness as feedback to automatically select the appropriate exposure parameter adjustment from the correspondence table. This closed-loop approach ensures that the exposure parameters are continuously optimized based on actual lighting conditions, maintaining high image quality for accurate gaze detection.
3Manufacturing precision
If the electronic device performs multiple exposure parameter adjustments to achieve normal image brightness, then image quality improves, but the number of adjustments increases and time consumption increases
Solution Approach 1:
The correspondence table is pre-computed offline, storing the optimal exposure parameter adjustments for various ambient light brightness levels. During actual operation, the system only needs to query this table based on current lighting conditions, eliminating the need for multiple iterative adjustments and significantly improving detection speed while maintaining image quality.
Solution Approach 2:
The system changes the approach from iterative parameter adjustment to direct parameter selection based on ambient light brightness. By using the pre-established correspondence between ambient light levels and optimal exposure parameters, the system achieves accurate exposure control in a single step rather than through multiple adjustments.
Data Source
AI summary
Embodiments of this application provide a parameter adjustment method, a display control method, and an electronic device. The electronic device includes a front camera and a display screen, and the front camera is configured to run based on an initial exposure parameter that matches an ambient light brightness in response to a first instruction, to capture an image. The parameter adjustment method includes: obtaining, when the display screen displays data, an image captured by the front camera; calculating an image brightness of the image by using image data of the image, adjusting the initial exposure parameter based on a difference between the image brightness of the image and a standard brightness, to obtain an exposure parameter adjustment value, the exposure parameter adjustment value being configured for the front camera to run based on the exposure parameter adjustment value in response to a second instruction, to capture an image.