Camera Image Settings Configuration via Preliminary Test Capture
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Solution Overview
Problem
Existing camera configuration methods for surveillance cameras are inefficient, requiring multiple image acquisitions and struggling to account for interdependencies between image settings, especially under varying conditions, and are difficult to adapt to different locations.
Innovation Solution
A method that selects a test image with desirable settings and stores them for future use, allowing the camera to reuse these settings when detecting the same scene condition type, and continuously learns and adapts to new conditions by analyzing temporary images and selecting optimal image capturing settings based on scene conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple image acquisitions are performed to find appropriate settings, then image quality can be optimized, but time consumption and system complexity increase
Solution Approach 1:
The system performs preliminary configuration by capturing test images with different settings before actual operation. The configured settings determined during this preliminary phase are stored and reused during normal operation, eliminating the need for repeated image acquisitions to find appropriate settings.
Solution Approach 2:
The system captures a single test image with each set of image capturing settings, stores it along with the corresponding settings, and later copies/reuses these configured settings when the same scene condition type is detected again, rather than recapturing multiple images each time.
2Manufacturing precision
If multiple image acquisitions are performed to find appropriate settings, then image quality can be optimized, but the number of operations and system complexity increase
Solution Approach 1:
The system performs preliminary configuration by capturing test images with different settings before actual operation. The configured settings determined during this preliminary phase are stored and reused during normal operation, eliminating the need for repeated image acquisitions to find appropriate settings.
Solution Approach 2:
The system captures a single test image with each set of image capturing settings, stores it along with the corresponding settings, and later copies/reuses these configured settings when the same scene condition type is detected again, rather than recapturing multiple images each time.
3Ease of operation
If a single reference image is used for all conditions and locations, then configuration process is simplified, but adaptability to different conditions deteriorates
Solution Approach 1:
The system segments the configuration process by creating separate configurations for different scene condition types (e.g., daytime, nighttime, indoor, outdoor). Each scene condition type has its own test image and configured settings stored in the database, allowing the system to select the appropriate configuration based on the current scene conditions rather than using a single reference image for all conditions.
4Manufacturing precision
If image capturing settings are optimized for specific conditions, then image quality for those conditions improves, but the difficulty of detecting and measuring scene conditions increases
Solution Approach 1:
The system uses feedback from the captured test image to automatically determine appropriate image capturing settings. The processor analyzes the test image to identify scene conditions (such as lighting conditions, motion levels) and selects or adjusts settings accordingly, reducing the difficulty of manual scene condition detection and measurement.
Data Source
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AI summary
There is provided a method for configuring a set of image capturing settings of a camera for a first scene condition type currently viewed by the camera. The method comprises detecting the first scene condition type; instructing the camera to acquire a plurality of test images, each test image corresponding to a set of image capturing settings; receiving input relating to a selected test image, and storing the set of image capturing settings corresponding to the selected test image as the configured set of image capturing settings for the first scene condition type to be used by the camera upon future detections of the first scene condition type.