Video-Based Window Treatment Control for Glare and Light Adjustment
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Solution Overview
Problem
Existing property monitoring systems lack efficient automation for dynamically adjusting light conditions to improve occupant comfort and visibility by controlling electronic window treatments based on real-time light intensity and glare analysis.
Innovation Solution
A system that utilizes video data from cameras to determine the location of individuals and electronic window treatments, identifying light attributes such as intensity and glare, and adjusts the treatments accordingly to optimize light levels and reduce discomfort or visibility issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If electronic window treatments are manually adjusted, then light conditions can be controlled, but automation and real-time adaptation are lacking
Solution Approach 1:
The system automatically monitors light conditions through video cameras and adjusts electronic window treatments without human intervention. The monitoring system detects glare and brightness levels, then autonomously commands the window treatments to adjust, enabling the system to serve itself and eliminating manual operation requirements.
Solution Approach 2:
The system continuously monitors light conditions using video cameras and uses this feedback to dynamically adjust electronic window treatments. The monitoring data on brightness and glare levels feeds back to the control system, which then modifies window treatment positions in real-time to maintain optimal light conditions.
2Measurement precision
If video data processing is enhanced to improve light attribute detection, then measurement precision increases, but computational complexity increases
Solution Approach 1:
The system uses video cameras as intermediary devices to capture light conditions and translate them into measurable data. The video data serves as an intermediary representation of physical light attributes, allowing the system to analyze brightness and glare indirectly through image processing rather than direct optical measurement.
Solution Approach 2:
The system replaces traditional mechanical light sensors with video camera-based detection. Instead of using dedicated optical sensors to measure light attributes, the system substitutes a video imaging system that captures visual information and derives light characteristics from pixel intensity and color data, leveraging existing camera infrastructure.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing video controlled adjustment of light conditions at a property. A monitoring system obtains video data from a video recording device at the property and uses the video data to determine a location of a person at the property as well as a location of an electronic window treatment at the property. Using the video data, the system identifies an attribute of light entering a window at the property. The system determines an adjustment setting for the electronic window treatment at the property based on the attribute of the light and the location of the person at the property. Based on the adjustment setting, a command is provided to perform a first adjustment action that adjusts the position of the electronic window treatment located at the window.