Adaptive Lighting Control via Mobile Sensor Feedback
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Solution Overview
Problem
Existing lighting systems for photography and video struggle to maintain consistent color balance with changing environments and camera angles, leading to undesirable artifacts and imbalances, which are difficult to correct in post-production.
Innovation Solution
A system comprising a mobile computing device with an image sensor and wirelessly controlled lighting fixtures that adjust color output in real-time to match the detected scene's color balance, using tristimulus values computed from RGB values to ensure accurate and dynamic lighting adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If artificial lighting is introduced to illuminate the scene, then the lighting intensity and visibility are improved, but the color balance of the artificial lighting may not match that of the ambient environment, resulting in artifacts or imbalances
Solution Approach 1:
The system dynamically changes the color temperature parameter of the LED lighting fixtures to match the ambient environment. The mobile computing device detects the ambient color balance and transmits control signals to adjust the LED fixtures' color output, transforming the lighting from static to adaptive parameter control.
Solution Approach 2:
The system establishes a feedback loop where the mobile computing device continuously monitors the ambient lighting conditions and object appearance, then automatically adjusts the artificial lighting fixtures to maintain color balance consistency. This closed-loop control eliminates the need for manual post-production color correction.
2Manufacturing precision
If the color balance of artificial lighting is adjusted to match the scene perfectly, then the color balance accuracy is improved, but the scene or environment may change over time (e.g., natural light changes at sunrise/sunset), requiring continuous adjustments
Solution Approach 1:
The system enables self-service operation where the mobile computing device automatically detects changes in ambient lighting conditions and independently adjusts the LED fixtures without requiring manual intervention. The system serves itself by continuously adapting to environmental changes, eliminating the need for operators to spend time on repeated adjustments.
Solution Approach 2:
The system maintains continuous monitoring and adjustment of lighting parameters to ensure uninterrupted color balance accuracy. The mobile computing device continuously captures images, analyzes color balance, and transmits adjustment signals, ensuring the lighting adaptation is an ongoing process rather than discrete interventions.
3Ease of operation
If manual adjustment of lighting fixtures is performed to achieve color balance matching, then the initial setup is completed, but varying camera angles or mobile camera positions cause dramatic changes in perceived color balance over time
Solution Approach 1:
The system transitions from static manual setup to dynamic automated adjustment. The lighting fixtures and mobile computing device work together to continuously adapt to changing camera angles and positions, making the system responsive and flexible rather than fixed and rigid.
Solution Approach 2:
The system uses real-time feedback from the mobile computing device's image sensor to detect changes in the captured scene's color balance and automatically adjusts the LED fixtures accordingly, maintaining consistency regardless of camera movement or angle changes.
4Manufacturing precision
If post-production or digital editing techniques are used to correct color balance imbalances, then some imbalances can be corrected, but the process is difficult and always time consuming
Solution Approach 1:
The system performs preliminary action by automatically correcting color balance during the actual photography or video capture process, rather than waiting for post-production. The LED fixtures are adjusted in real-time to prevent color balance issues before they occur, eliminating the need for subsequent corrective editing.
Solution Approach 2:
The system converts the potential harm of color balance mismatches into a benefit by using the mobile computing device's image capture and processing capabilities to detect and correct imbalances automatically, transforming what would be a post-production problem into a real-time solution.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables rapid and automated setup of lighting, reduces manual labor, and maintains objective lighting while allowing for subjective adjustments, effectively addressing changes in lighting conditions and camera angles, thereby improving the quality and efficiency of image and video capture.
Implementation Method 1
a mobile computing device with an image sensor... the image sensor to determine a light balance of a scene
Implementation Method 2
at least one lighting fixture... a mobile light emitting diode panel... The lighting fixtures comprise panels of multiple light emitting diodes
Data Source
AI summary
A system includes a mobile computing device with an image sensor that wirelessly controls at least one lighting fixture to maintain a predetermined color and intensity based on light detected by the image sensor.