Camera-Aware Light Scene Mapping for Multi-Unit Lighting Control
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Solution Overview
Problem
Existing lighting systems can negatively impact the quality of images captured by cameras due to improper light settings that cause overexposure or underexposure, particularly when lighting units are positioned within the camera's field of view.
Innovation Solution
A method and controller that map light settings onto lighting units based on their location and characteristics relative to a camera, optimizing the light settings to improve image quality by considering factors such as color, saturation, intensity, and temporal aspects, and adjusting these settings dynamically based on camera mode and user activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If light settings are mapped onto lighting units based on color, saturation, intensity and temporal aspects, then the aesthetic quality and atmosphere creation is improved, but the image quality captured by camera deteriorates due to overexposure or underexposure
Solution Approach 1:
The patent applies local quality by differentiating the treatment of lighting units based on their spatial relationship with the camera. Lighting units are categorized into those located in the camera's field of view and those outside the field of view. Different light settings are applied to each category: for units in the field of view, settings are adjusted to prevent overexposure or underexposure, while for units outside the field of view, aesthetic settings can be applied without compromising image quality. This localized differentiation resolves the contradiction by allowing aesthetic optimization in areas that do not affect the camera capture.
Solution Approach 2:
The patent implements dynamics by making the light setting mapping adaptive and configurable based on camera presence and operational mode. The system dynamically adjusts the mapping strategy depending on whether a camera is detected, its location relative to lighting units, and its operational mode (e.g., surveillance, photography, video). This dynamic adaptation allows the system to switch between aesthetic optimization and image quality preservation based on real-time conditions, resolving the contradiction between the two competing requirements.
2Illumination intensity
If light scenes are created with high intensity and saturation for better atmosphere, then the visual impact is improved, but the camera images become overexposed or colored
Solution Approach 1:
The patent applies local quality by differentiating the treatment of lighting units based on their spatial relationship with the camera. Lighting units are categorized into those located in the camera's field of view and those outside the field of view. Different light settings are applied to each category: for units in the field of view, settings are adjusted to prevent overexposure or underexposure, while for units outside the field of view, aesthetic settings can be applied without compromising image quality. This localized differentiation resolves the contradiction by allowing aesthetic optimization in areas that do not affect the camera capture.
Solution Approach 2:
The patent applies parameter changes by modifying specific light setting parameters (intensity, saturation, color temperature) based on the location of lighting units relative to the camera. When a lighting unit is detected to be within the camera's field of view, the controller adjusts parameters such as reducing intensity or modifying color temperature to prevent overexposure or unwanted color casts. For lighting units outside the field of view, full aesthetic parameters can be applied. This parameter-based differentiation resolves the contradiction between visual impact and image exposure accuracy.
3Ease of operation
If automatic light mapping is used to simplify operation, then the ease of use is improved, but the ability to optimize for camera quality is reduced
Solution Approach 1:
The patent applies self-service by implementing automatic detection and classification of lighting units based on camera location and field of view. The system autonomously determines which lighting units are in the camera's field of view and applies appropriate light settings without requiring manual user intervention. The controller automatically processes camera metadata, calculates spatial relationships, and adjusts lighting parameters accordingly. This automated self-service approach maintains ease of operation while achieving reliable image quality optimization.
Solution Approach 2:
The patent applies feedback by using camera location information and operational mode data to dynamically adjust light setting mappings. The system receives feedback from camera metadata about the camera's position, orientation, and operational mode, and uses this information to automatically modify which light settings are applied to which lighting units. This feedback mechanism enables the system to adapt to different scenarios and optimize image quality while maintaining automatic operation, resolving the contradiction between ease of use and optimization capability.
Data Source
AI summary
A method of controlling a plurality of lighting units located in a space according to a light scene comprising a plurality of light settings is disclosed. The method comprises obtaining location information indicative of a location of a camera in the space relative to the plurality of lighting units, mapping the plurality of light settings onto the plurality of lighting units, wherein each light setting is mapped onto a lighting unit based on the light setting's respective color, saturation, intensity and/or temporal aspects and based on the lighting unit's respective location relative to the location of the camera, and controlling the plurality of lighting units according to the mapped light settings.