Text Region Detection for Camera Focus Adjustment
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Solution Overview
Problem
Conventional electronic devices struggle to capture high-quality images of text objects due to inadequate focus and exposure settings, especially when non-text objects are present in the scene, making it difficult for users to manually adjust parameters effectively.
Innovation Solution
An electronic device is configured to operate in a preview mode that identifies text regions within a scene, adjusts focus and exposure parameters based on the detected text regions, and optimizes image capturing settings to enhance image quality of text objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image sensor focuses on the center portion of the scene, then the center area is captured with sufficient focus, but text objects located in other portions of the scene cannot be captured with sufficient image quality
Solution Approach 1:
The electronic device automatically detects text objects in the scene and autonomously adjusts focus and exposure parameters without requiring manual user intervention. The system identifies text regions, determines optimal capture parameters based on detected text characteristics, and executes the capture automatically, allowing the device to serve itself in optimizing text image quality.
Solution Approach 2:
The system dynamically changes image capturing parameters (focus distance, exposure time, aperture) based on detected text object characteristics such as distance, size, and lighting conditions. By adjusting these parameters according to the specific text object detected, the system optimizes image quality for text capture while adapting to varying scene conditions.
2Measurement precision
If conventional image capturing parameters are used, then general scene capture is adequate, but text objects cannot be captured with optimized image quality
Solution Approach 1:
The system employs feedback mechanisms where the detected text object characteristics (position, size, distance, lighting) are used to automatically determine and adjust optimal capture parameters. The feedback loop continuously monitors text region properties and adjusts focus, exposure, and other parameters accordingly, eliminating the need for complex manual parameter tuning while achieving optimized text capture.
Solution Approach 2:
Before capturing the text object, the system performs preliminary detection and analysis of the text region, pre-calculating the optimal capture parameters based on detected text characteristics. This preliminary action allows the system to prepare the appropriate focus and exposure settings in advance, ensuring optimized text capture without requiring complex real-time parameter adjustments during capture.
3Measurement precision
If manual specification of desired focus portion is allowed, then users can select text objects for focus, but the operation becomes inconvenient when holding the electronic device
Solution Approach 1:
The electronic device automatically performs text object detection and focus selection without requiring manual user input. The system identifies text regions in the scene, determines the optimal focus point autonomously, and adjusts the focus mechanism accordingly, allowing the device to serve itself in selecting and focusing on text objects while the user simply holds the device steady.
Data Source
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AI summary
A method, which is performed by an electronic device, for adjusting at least one image capturing parameter in a preview mode is disclosed. The method may include capturing a preview image of a scene including at least one text object based on a set of image capturing parameters. The method may also identify a plurality of text regions in the preview image. From the plurality of text regions, a target focus region may be selected. Based on the target focus region, the at least one image capturing parameter may be adjusted.