Mobile Device Calibrates Lighting Unit Reflected Light
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Solution Overview
Problem
Existing lighting systems struggle to automatically calibrate light emitted by a lighting unit to satisfy specific lighting property criteria when reflected off different surfaces, as equipping these systems with necessary components like light sensors can be costly and impractical.
Innovation Solution
A computer-implemented method using a mobile computing device with a light sensor to obtain and analyze data on reflected light, determining if it meets criteria, and adjusting the lighting unit's output to match desired properties, either directly or through a bridge or server, to ensure the reflected light satisfies the criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a lighting unit is equipped with light sensors and calibration components, then the ability to automatically calibrate light to satisfy lighting property criteria is improved, but the cost and complexity of the system increases
Solution Approach 1:
The patent introduces a mobile computing device as an intermediary between the lighting unit and the calibration system. This external device performs the calibration functions using its own sensors and processing capabilities, allowing the lighting unit itself to remain simple without requiring built-in sensors or complex calibration hardware.
Solution Approach 2:
The mobile computing device uses its existing built-in sensors (camera, light sensor, accelerometer, gyroscope) to perform calibration measurements and calculations. Rather than requiring dedicated calibration hardware, the system leverages the self-service capabilities of common mobile devices already present in user environments.
2Extent of automation
If a lighting unit is equipped with light sensors and calibration components, then the ability to automatically calibrate light to satisfy lighting property criteria is improved, but the cost of the system increases
Solution Approach 1:
The mobile computing device serves as a cost-effective intermediary that brings calibration functionality to the lighting unit without requiring expensive sensors or components to be integrated into the lighting unit itself. This separates the calibration function from the lighting hardware, reducing manufacturing costs.
Solution Approach 2:
The system uses the mobile device's existing sensors to capture and analyze light properties, effectively copying the measurement function rather than requiring duplicate specialized sensors in the lighting unit. This leverages existing hardware capabilities to avoid additional manufacturing costs.
3Measurement precision
If the mobile computing device is held at various orientations and positions during calibration, then the accuracy of reflected light measurement is improved, but the complexity of the calibration process increases
Solution Approach 1:
The system dynamically adjusts calibration requirements based on the detected physical arrangement of the mobile device. Rather than requiring fixed positioning, the system adapts to various orientations and positions, using the detected arrangement to determine appropriate calibration procedures and criteria.
Solution Approach 2:
The system provides real-time feedback to the user about the physical arrangement of the mobile device and whether it satisfies calibration criteria. This feedback mechanism guides users through the calibration process, making it easier to achieve accurate measurements without requiring users to understand complex positioning requirements.
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
Enables the calibration of light emitted by a lighting unit to meet specific criteria without adding expensive components, ensuring uniform or desired lighting effects across various surfaces, improving the adaptability and efficiency of lighting systems.
Implementation Method 1
obtaining, by a computing device, data indicative of light reflected from a surface and sensed by a light sensor
Data Source
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AI summary
Disclosed is a computing device that may obtain data indicative of light reflected from a surface and sensed by a light sensor of a mobile computing device.In various embodiments, the reflected light may be created from light emitted by a lighting unit, and the computing device may determine that, based on the data representing one or more properties of the reflected light, a property of the reflected light fails to satisfy a lighting property criterion. In various embodiments,the computing device may cause calibration of light emitted by the lighting unit so that the reflected light satisfies the lighting property criterion.