Mobile Device Gesture Control for LED Lighting Adaptation
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Solution Overview
Problem
Existing lighting control systems for LED-based lighting lack flexibility and fine-tuning capabilities, particularly in adapting to environmental changes and specific object requirements, as they rely on direct specification or object sensing, which are limited in adjusting lighting parameters.
Innovation Solution
A method and apparatus that utilize user manipulation of a mobile computing device to adjust LED lighting properties by receiving user gesture data, allowing for real-time control of lighting parameters such as color, intensity, and beam direction through a connected lighting controller.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If direct specification of lighting parameters is used, then lighting control is simple, but flexibility and fine-tuning capability are limited
Solution Approach 1:
The patent introduces a mobile computing device as an intermediary between the user and the lighting system. The device captures images of the environment, processes them to identify objects and characteristics, and translates these into lighting control commands. This intermediary enables both simple operation (through automated image processing) and high adaptability (through detailed environmental analysis and object recognition).
Solution Approach 2:
The patent replaces manual mechanical adjustment of lighting parameters with automated optical processing. Instead of physically adjusting dials or switches, the system uses the mobile device's camera to capture environmental images, which are then processed to automatically determine optimal lighting settings based on detected objects, colors, and scene characteristics.
2Adaptability or versatility
If object sensing is used to automatically specify lighting parameters, then adaptability improves, but ability to fine-tune applied lighting decreases
Solution Approach 1:
The patent implements a dynamic control system where lighting parameters can be automatically adjusted based on real-time environmental changes detected through image processing. The system continuously monitors the environment, identifies objects and their characteristics, and dynamically adapts lighting settings accordingly, while still allowing manual intervention when needed.
Solution Approach 2:
The system incorporates feedback mechanisms where the mobile device captures images of the illuminated environment, processes these images to evaluate the lighting效果, and uses this feedback to automatically adjust lighting parameters. This closed-loop feedback enables both automatic adaptation and fine-tuning capabilities simultaneously.
3Productivity
If existing lighting control systems are used, then basic control is achieved, but precision and adaptability to specific environments are limited
Solution Approach 1:
The patent utilizes parameter changes in the captured images (color, brightness, object characteristics) to determine optimal lighting settings. By analyzing multiple image parameters and translating them into corresponding lighting parameters, the system achieves precise environmental sensing and accurate lighting control that adapts to specific environmental conditions.
Data Source
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AI summary
Disclosed are methods and apparatus for lighting control. One or more properties of light output are controlled based on user manipulation of a mobile computing device (110, 510) such as a mobile phone. Data from a mobile computing device may be utilized to implement lighting property adjustments for one or more LEDs (132) based on the data. The data may be user gesture data that is based on physical movement of the mobile computing device in space by the user.