Image Capturing Parameter Setting via Server Sample Data
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Solution Overview
Problem
Current image capturing devices require manual setting of parameters, which is inefficient and may not optimize image capturing settings based on the environment and device capabilities, leading to suboptimal image quality.
Innovation Solution
A method and apparatus that acquire current environment and device parameters, send a request to a server for sample data, determine a target image capturing parameter based on sample images, and set the device parameters accordingly, improving efficiency and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual setting of image capturing parameters is used, then user can adjust parameters based on personal experience, but the efficiency is low and image quality may be suboptimal
Solution Approach 1:
The image capturing device automatically acquires environment data, sends requests to the server, receives sample data, and determines optimal parameters without requiring manual user input. The system serves itself by autonomously completing the parameter setting process based on environmental conditions and device capabilities.
Solution Approach 2:
A server acts as an intermediary between the image capturing device and the optimal parameter determination. The server receives environment data and device parameters from the device, processes this information, and returns sample data with recommended parameters, mediating the complex optimization process.
2Productivity
If automatic mode is used, then parameter setting efficiency is improved, but the selection is made according to fixed rules and may not select optimal parameters for specific environments
Solution Approach 1:
The system implements feedback by acquiring actual environment data from sensors in the image capturing device, sending this data to the server, and using the server's responses (sample data with optimal parameters) to adjust and determine the final parameters. This closed-loop feedback ensures parameters are optimized for the specific environmental conditions rather than using fixed rules.
3Measurement precision
If manual adjustment based on desired effect is performed, then satisfactory image capturing effect can be achieved, but the process is time-consuming and inefficient
Solution Approach 1:
The server performs preliminary calculations and optimizations in advance, maintaining a database of sample data with optimal parameters for various environmental conditions and device configurations. When the image capturing device needs parameters, it simply queries the server with current environment data and device parameters, and receives pre-computed optimal settings immediately, avoiding time-consuming manual adjustments.
Data Source
AI summary
The present disclosure relates to a method and apparatus for setting an image capturing parameter of an image capturing device. The method includes acquiring current environment data that corresponds to a current environment and a device parameter of the image capturing device; sending a sample acquiring request to a server, the sample acquiring request including the current environment data and the device parameter; receiving sample data from the server associated with the current environment data and the device parameter, the sample data including one or more sample images; determining a target image capturing parameter based on the one or more sample images; and setting a current image capturing parameter of the image capturing device based on the target image capturing parameter.