Fill Light Control via Exposure Parameters for Real-Time Imaging
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Solution Overview
Problem
Conventional methods for providing fill light in imaging systems, such as those in aerial vehicles and robots, are inadequate due to high computational resource consumption and time delays, making them unsuitable for real-time imaging in low illumination environments.
Innovation Solution
A method and system that control a fill light lamp based on automatic exposure parameters of an image sensor, allowing for reduced computational resource consumption and improved real-time performance by automatically adjusting the fill light's power switch and illumination intensity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional automatic flash method is used to provide fill light, then image quality can be improved, but computational resource consumption increases and time delay occurs
Solution Approach 1:
The patent extracts the essential function of fill light provision from the complex conventional automatic flash system. Instead of using the full conventional method with multiple detection and adjustment steps, the invention directly provides fill light based on exposure parameters, removing unnecessary computational steps while maintaining the core lighting function.
Solution Approach 2:
The patent performs preliminary action by determining fill light parameters in advance based on exposure parameters before actual image capture. This allows the fill light to be pre-configured according to ambient light conditions, eliminating the need for real-time detection and adjustment during the imaging process, thus improving real-time performance.
2Measurement precision
If conventional automatic flash method is used to provide fill light, then image quality can be improved, but computational resource consumption increases
Solution Approach 1:
The patent extracts only the essential computational step of determining fill light parameters from exposure parameters, removing the complex image quality detection and multiple adjustment iterations of conventional methods. This streamlined approach maintains adequate image quality while significantly reducing computational resource consumption.
Solution Approach 2:
The system uses the existing exposure parameters (which are already calculated for image capture) to directly determine fill light parameters, making the exposure calculation serve dual purposes. This self-service approach eliminates redundant computations and reduces overall computational resource consumption.
3Measurement precision
If fill light is continuously provided to improve image quality in low light, then image quality is maintained, but energy consumption increases
Solution Approach 1:
The patent implements dynamic control of fill light by adjusting illumination parameters based on ambient light conditions represented by exposure parameters. The system dynamically adapts fill light intensity and duration to match actual lighting needs, providing sufficient light for image quality while avoiding unnecessary energy consumption in adequate lighting conditions.
Solution Approach 2:
The system changes fill light parameters (illumination intensity, duration, activation state) based on exposure parameter values. By varying these parameters according to ambient light conditions, the system maintains image quality when needed while reducing or eliminating fill light provision when ambient light is sufficient, thereby optimizing energy consumption.
Data Source
AI summary
An imaging device includes an image sensor, a fill light lamp, and a controller. The controller is configured to obtain an automatic exposure parameter of the image sensor and control an illumination intensity of the fill light lamp based on the automatic exposure parameter.