Tag-Assisted Image Capture Parameter Generation
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Solution Overview
Problem
Current imaging devices in computing devices often fail to account for the user's region of interest when determining automatic focus, exposure, and white balance settings, leading to user frustration.
Innovation Solution
The implementation of a tag-assisted image capture parameter generation system that uses ultra-wideband (UWB) tags to determine the physical location of a region of interest within the field of view, automatically generating parameters such as exposure and focus settings without requiring user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional 3A estimation algorithms are used to automatically determine image capture settings, then the device operates automatically without user input, but the algorithms fail to account for the user's region of interest leading to poor image quality in the desired area
Solution Approach 1:
The patent introduces an intermediary system consisting of tags attached to objects of interest and a detection mechanism that identifies these tags. This intermediary system bridges the gap between automatic operation and region-specific parameter optimization, allowing the device to automatically detect tagged regions and adjust capture parameters accordingly without requiring manual user input for each shot
Solution Approach 2:
The patent applies preliminary action by pre-attaching tags to objects or areas of interest before the imaging task. This allows the system to automatically identify and prioritize these regions during image capture, ensuring that capture parameters are optimized for the desired subject before the actual photographing occurs
2Manufacturing precision
If the system prioritizes a specific region of interest, then image quality in that region is improved, but the system complexity increases due to tag detection and region identification mechanisms
Solution Approach 1:
The patent extracts the region identification function from the main imaging device by using separate, independently attachable tags. This separation reduces the complexity of the primary device while still enabling sophisticated region-of-interest detection and parameter optimization capabilities
Solution Approach 2:
The tag-based system is self-service in that the tags automatically broadcast or emit identification signals that the imaging device can detect without requiring active user interaction. The system serves itself by automatically identifying tagged regions and adjusting parameters, reducing the need for complex user interfaces or manual region selection mechanisms
Data Source
AI summary
A computing device includes digital imaging functionality that captures images digitally using any of a variety of different technologies. The computing device receives an indication of, or determines, a physical location of a tag within a field of view of an image capture module and associates that physical location with a region of interest in the field of view. The tag is a device that transmits and receives signals allowing one or more other devices to determine the physical location of the tag, such as an ultra-wideband tag. The computing device also includes a parameter generation system that automatically generates, based at least in part on the region of interest associated with the physical location of the tag, one or more parameters for capturing a digital image. These parameters include, for example, an exposure setting, a white balance setting, and a focus setting.