Systems and methods are disclosed for configuring a light integrated device, and include receiving sensed data from a first sensor, providing the sensed data from the first sensor to a machine learning model, receiving a machine learning output from the machine learning model based on the sensed data from the first sensor, the machine learning output comprising a light integrated device configuration, wherein the light integrated device configuration comprises a dual light emitting diodes (LED) setting, and configuring the light integrated device based on the light integrated device configuration.

Systems and methods are disclosed for configuring a light integrated device, and include receiving sensed data from a first sensor, providing the sensed data from the first sensor to a machine learning model, receiving a machine learning output from the machine learning model based on the sensed data from the first sensor, the machine learning output comprising a light integrated device configuration, wherein the light integrated device configuration comprises a dual light emitting diodes (LED) setting, and configuring the light integrated device based on the light integrated device configuration.

Embodiments of the present disclosure include a method for destroying pathogens in irradiating a region at a radiation having a wavelength between 200-300 nm via one or more lamps operatively connected to a respective cavity in responsive to processing a sequence associated with an inputted address. Embodiments also include controlling an operating status of the one or more lamps via a control center by sending a first command and sending a second command. Embodiments also include determining: a time frame of when the one or more lamps irradiate the region; and determining if there may be a motion.

Embodiments of the present disclosure include a method for destroying pathogens in irradiating a region at a radiation having a wavelength between 200-300 nm via one or more lamps operatively connected to a respective cavity in responsive to processing a sequence associated with an inputted address. Embodiments also include controlling an operating status of the one or more lamps via a control center by sending a first command and sending a second command. Embodiments also include determining: a time frame of when the one or more lamps irradiate the region; and determining if there may be a motion.

A method for treating pest infestation of crops includes withholding all light from the crops and, during the withholding, applying a burst of ultraviolet light to the crops. A method for reducing pests includes turning off all lighting arranged to apply growth light to the crops, applying a burst of ultraviolet light to the crops and turning on the lighting arranged to apply growth light to the crops. A system for treating pest infestation of crops includes a plurality of ultraviolet light sources and a controller configured to energize the ultraviolet light sources to apply a burst of ultraviolet light to the crops.

A method for treating pest infestation of crops includes withholding all light from the crops and, during the withholding, applying a burst of ultraviolet light to the crops. A method for reducing pests includes turning off all lighting arranged to apply growth light to the crops, applying a burst of ultraviolet light to the crops and turning on the lighting arranged to apply growth light to the crops. A system for treating pest infestation of crops includes a plurality of ultraviolet light sources and a controller configured to energize the ultraviolet light sources to apply a burst of ultraviolet light to the crops.

A lighting effect control method includes: obtaining a video frame image sequence by dividing frames of a to-be-tested video stream; sequentially acquiring one of untraversed video frame images in the video frame image sequence as a testing video frame image; according to a recognition result of the testing video frame image, determining that there is at least one target virtual object in the testing video frame image, and determining state information of the target virtual object in the testing video frame image, wherein the recognition result of the testing video frame image is obtained by performing an image recognition process on the testing video frame image; and controlling the lighting effect of a lighting device based on the state information.

Systems, apparatuses, and methods are described for intelligent control of video display backlighting that provides environmental lighting illumination of an area behind a video display device, such as on a wall behind a video display. The environmental lighting illumination may be based on recognizing images (e.g., objects, patterns, faces, colors, etc.) in video content being displayed via the video display device, recognizing audio (e.g., words, sounds, voices, etc.) in audio content being output in association with video content being displayed via the video display device, and/or recognizing other triggers such as commands associated with video content.

A visual feedback system can include a display panel, an interface unit, and at least one visual feedback device. The at least one visual feedback device can be configured to provide cues for audio generated within a virtual environment.

An illumination system and method of ground and other illuminating that comprises a plurality of sensors that scan/detect the exterior area around the vehicle and at least one controller, the system selectively turning on/off a series of lighting elements placed strategically around the vehicle to allow light to be directed to at least one ground or other surface at the persons at all times or any predetermined time. A controller is provided to activate ground lighting in coordination with sensor signals identifying where an individual or object are located in predetermined proximity to the vehicle.