Camera Day-Night Switching Using Dynamic Illumination Thresholds
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Solution Overview
Problem
Existing day-night switching strategies in camera devices face issues with repeated switching between day and night modes in small scenarios, particularly due to fixed environmental calibration, leading to increased system complexity and cost when additional peripherals are introduced.
Innovation Solution
A method that dynamically determines a black-to-color switching threshold based on image illumination influence factors, adjusting the threshold according to environmental illumination or fill light conditions, thereby reducing repeated switching and system complexity without additional peripherals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed environment calibration strategy is used for day-night switching, then the switching threshold is simple to determine, but repeated switching between day mode and night mode occurs in small scenarios
Solution Approach 1:
The patent implements dynamic day-night switching by continuously monitoring image illumination and adjusting the switching threshold in real-time based on current lighting conditions, rather than using a fixed pre-calibrated threshold. This dynamic adjustment prevents repeated switching in small scenarios by adapting to changing environmental conditions.
Solution Approach 2:
The patent changes the illumination threshold parameter dynamically based on image analysis. By calculating the illumination level from the photographed image and comparing it with a dynamically adjusted threshold, the system adapts to different lighting scenarios and avoids false switching.
2Measurement precision
If additional peripherals such as photosensors are added to assist day-night switching, then switching accuracy is improved, but system complexity and cost increase
Solution Approach 1:
The patent makes the image sensor perform multiple functions: it captures images for photography while simultaneously analyzing the image data to determine illumination levels for day-night switching. This eliminates the need for separate photosensors and reduces system complexity while maintaining accurate illumination detection.
Solution Approach 2:
The system uses its own photographed image to determine illumination conditions and perform day-night switching, rather than relying on external sensors. The camera device self-services by extracting illumination information from its primary function output, avoiding additional hardware requirements.
3Measurement precision
If the switching threshold is adjusted dynamically based on image illumination, then switching accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent replaces complex mechanical or hardware-based illumination sensing systems with software-based image analysis. By using algorithms to extract illumination information from captured images, the system achieves accurate threshold determination through computational methods rather than additional physical components.
Data Source
AI summary
A day-night switching method includes determining image illumination according to a photographed image acquired by a camera device; in the case where the image illumination is greater than the current black-to-color switching threshold, determining an image illumination influence factor according to the photographed image; in the case where the image illumination influence factor is environmental illumination, controlling the camera device to perform day-night switching according to the image illumination and the current black-to-color switching threshold; in the case where the image illumination influence factor is a fill light, determining a new black-to-color switching threshold according to the photographing parameter of the camera device and the photographed image; and controlling the camera device to perform day-night switching according to the image illumination and the new black-to-color switching threshold.