Abstract: A sensor may detect glare from a recorded image and a shade position of a motorized window treatment may be controlled based on the position of the detected glare in the image. A luminance of a pixel may be calculated in an image and a glare condition may be detected based on the luminance of the pixel. For example, the sensor may start at a first pixel in a bottom row of pixels and step through each of the pixels on the bottom row before moving to a next row of pixels. When the sensor detects a glare condition, the sensor may cease processing the remaining pixels of the image. The sensor may calculate a background luminance of the image by reordering the pixels of the image from darkest to lightest and calculating the luminance of a pixel that is a predetermined percentage from the darkest pixel.

Abstract: A sensor may detect glare from a recorded image and a shade position of a motorized window treatment may be controlled based on the position of the detected glare in the image. A luminance of a pixel may be calculated in an image and a glare condition may be detected based on the luminance of the pixel. For example, the sensor may start at a first pixel in a bottom row of pixels and step through each of the pixels on the bottom row before moving to a next row of pixels. When the sensor detects a glare condition, the sensor may cease processing the remaining pixels of the image. The sensor may calculate a background luminance of the image by reordering the pixels of the image from darkest to lightest and calculating the luminance of a pixel that is a predetermined percentage from the darkest pixel.

Abstract: Methods and systems as described herein may be used for independently controlling the color temperature, intensity, and/or circadian response (CR) of one or more light sources (e.g., discrete-spectrum light sources) to adjust one or more color temperature, intensity, and circadian metrics in a space. For example, a light fixture may have four controllable light sources, a warm CR boost, cool CR boost, warm non-boost CR and a cool non-boost CR to independently control intensity, color temperature, and CR outputs.

Abstract: Methods and systems as described herein may be used for independently controlling the color temperature, intensity, and/or circadian response (CR) of one or more light sources (e.g., discrete-spectrum light sources) to adjust one or more color temperature, intensity, and circadian metrics in a space. For example, a light fixture may have four controllable light sources, a warm CR boost, cool CR boost, warm non-boost CR and a cool non-boost CR to independently control intensity, color temperature, and CR outputs.

Abstract: A load control environment may be controlled by adjusting load control devices, such as a lighting intensity level, a level of the covering material for a motorized window treatment, and/or a temperature level to reduce and/or optimize the consumption of power. The optimization of power may include reducing the total cost and consumption of power, while maintaining a target or minimum level of comfort for occupants and/or a net monetary gain. The optimization of power consumption may be performed by adaptively controlling the load control devices to reduce the total power consumption of the load control environment, while maintaining a minimum level for comfort metrics indicating a level of occupant comfort and/or the net monetary gain associated with the comfort metrics.

Abstract: Methods and systems as described herein may be used for independently controlling the color temperature, intensity, and/or circadian response (CR) of one or more light sources (e.g., discrete-spectrum light sources) to adjust one or more color temperature, intensity, and circadian metrics in a space. For example, a light fixture may have four controllable light sources, a warm CR boost, cool CR boost, warm non-boost CR and a cool non-boost CR to independently control intensity, color temperature, and CR outputs.

Abstract: A sensor may detect glare from a recorded image and a shade position of a motorized window treatment may be controlled based on the position of the detected glare in the image. A luminance of a pixel may be calculated in an image and a glare condition may be detected based on the luminance of the pixel. For example, the sensor may start at a first pixel in a bottom row of pixels and step through each of the pixels on the bottom row before moving to a next row of pixels. When the sensor detects a glare condition, the sensor may cease processing the remaining pixels of the image. The sensor may calculate a background luminance of the image by reordering the pixels of the image from darkest to lightest and calculating the luminance of a pixel that is a predetermined percentage from the darkest pixel.

Abstract: A sensor may detect glare from a recorded image and a shade position of a motorized window treatment may be controlled based on the position of the detected glare in the image. A luminance of a pixel may be calculated in an image and a glare condition may be detected based on the luminance of the pixel. For example, the sensor may start at a first pixel in a bottom row of pixels and step through each of the pixels on the bottom row before moving to a next row of pixels. When the sensor detects a glare condition, the sensor may cease processing the remaining pixels of the image. The sensor may calculate a background luminance of the image by reordering the pixels of the image from darkest to lightest and calculating the luminance of a pixel that is a predetermined percentage from the darkest pixel.

Abstract: A sensor may detect glare from a recorded image and a shade position of a motorized window treatment may be controlled based on the position of the detected glare in the image. A luminance of a pixel may be calculated in an image and a glare condition may be detected based on the luminance of the pixel. For example, the sensor may start at a first pixel in a bottom row of pixels and step through each of the pixels on the bottom row before moving to a next row of pixels. When the sensor detects a glare condition, the sensor may cease processing the remaining pixels of the image. The sensor may calculate a background luminance of the image by reordering the pixels of the image from darkest to lightest and calculating the luminance of a pixel that is a predetermined percentage from the darkest pixel.