Abl IP Holding LLC

Advanced Optical Technologies, Inc.

Science Applications International Corporation

Other

Renaissance Lighting, Inc.

Abl IP Holdling LLC

Jack C Rains, Jr

David P Ramer

Januk Swarup Aggarwal

Jason Rogers

Matthew Frank Brown

Sean P White

Daniel M Megginson

Niels G Eegholm

Youssef F Baker

Donald F May

Don F May

An Mao

Jenish S Kastee

Hampton Boone Maher

Stephen Haight Lydecker

Nathaniel W Hixon

Richard S Bagwell

Mark G Schmitt

Bobby L Epling

Michael P Ritter

Harold E Watson

Christopher Bates

Ravi Kumar Komanduri

Forrest Starnes McCanless

Rashmi Kumar Raj

Chad N Sanders

J Michael Phipps

George David Crowley, Iii

Albert Green

E Alan Phillips

John F Reim

Mark A Black

Richard W Sutton

Gregg Irvin

Min-Hao Michael Lu

Guan-Bo Lin

Yenpao Albert Lu

Jonathan Lloyd Goodman

Matthew H Aldrich

Kathryn Margaret Pendo

James Benton French

Vernon J Nagel

Alan W Geishecker

Examples of lighting equipment provide services to and on behalf of a biomechatronically enhanced organism and/or a biomechatronic component of the organism. Such services include charging, communications, location-related services, control, optimization, client-server functions and distributed processing functionality. The biomechatronically enhanced organism anchor biomechatronic component utilize such services provided by and/or via the lighting equipment to enable, enhance or otherwise influence operation of the organism.

Lighting for biomechatronically enhanced organism

Examples of lighting equipment provide services to and on behalf of a biomechatronically enhanced organism and/or a biomechatronic component of the organism. Such services include charging, communications, location-related services, control, optimization, client-server functions and distributed processing functionality. The biomechatronically enhanced organism and/or biomechatronic component utilize such services provided by and/or via the lighting equipment to enable, enhance or otherwise influence operation of the organism.

An exemplary lighting system utilizes intelligent system elements, such as lighting devices, user interfaces for lighting control or the like and possibly sensors, and utilizes network communication amongst such intelligent system elements. Some processing functions performed within the system are implemented on a distributed processing basis, by two or more of the intelligent elements of the lighting system. Distributed processing, for example, may enable use of available processor and/or memory resources of a number of intelligent system elements to process a particular job. Another distributed processing approach might entail programming to configure two or more of the intelligent system elements to implement multiple instances of a server functionality with respect to client functionalities implemented on intelligent system elements.

Distributed processing using resources of intelligent lighting elements of a lighting system

A lighting system utilizes intelligent system elements, such as lighting devices, user interfaces for lighting control or the like and possibly sensors. The system also has a data communication network. Some number of the intelligent lighting system elements, including at least two of the lighting devices, also support wireless communication with non-lighting-system devices at the premises. Each such element has a communication interface system configured to provide a short range, low power wireless data communication link for use by non-lighting-system devices at the premises in proximity to the respective intelligent system element. Also, in such an element, the processor is configured to control communications via the communication interface system so as to provide access to the data network and through the data network to the wide area network outside the premises for non-lighting related communications of the non-lighting-system devices.

Lighting element-centric network of networks

A system including a controllable device configured to provide a premises related service in an area of a premises. The system includes an electroencephalography (EEG) device configured to be positioned with respect to a head of a user and process signals detected in real-time. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor. A data is stored in the memory that associates each of a plurality of predetermined sets of signals from the brain detected via the EEG device with at least one control instruction. The execution of the instructions configures the processor to using the stored data, analyze the real-time detected signals to determine that the real-time detected signals correspond to one of the plurality of predetermined set of signals associated with the one control instruction and generate a control data signal based on the one control instruction.

Electroencephalography control of controllable device

Disclosed are examples of optical/electrical devices including a variable TIR lens assembly having a transducer, an optical lens and an electrowetting cell coupled to an exterior wall of the lens. The electrowetting cell contains two immiscible liquids having different optical and electrical properties. One liquid has a high index of refraction, and the other liquid has a low index of refraction. At least one liquid is electrically conductive. A signal causes the high index of refraction and the low index of refraction liquids to assume various positions within the electrowetting cell along the exterior wall. The properties of the optical lens, e.g. its total internal reflectivity, change depending upon the position of the respective liquids along the exterior wall. The light detection characteristics of the assembly change to receive an input light beam over a range of inputs or over a range of fields of view.

Variable total internal reflection electrowetting lens assembly for a detector

Disclosed are examples of luminaires that provide light for general illumination and treat air via a biofilter. In the examples, a luminaire may include a light source configured to illuminate a space, a biofilter configured to treat air, and an air circulation system. The light source may be configured to illuminate a space in which the luminaire is located with general illumination light. The biofilter may include an air permeable membrane, a substrate, and a microorganism that treats air that comes in contact with the microorganism. The air circulation system is configured to draw air into contact with the biofilter and output air treated by contact with the biofilter into at least a portion of the space illuminated by the light source.

Luminaire with biofilter

An example of a building automation system utilizes intelligent system elements, some of which are lighting devices having light sources, and some of which are utility building control and automation elements. Some utility building control and automation elements include a controllable mechanism for use in control of some aspect of the building other than lighting. Another intelligent system element may include either a user interface component and be configured as a building controller, or include a detector and be configured as a sensor. Each intelligent system element includes a network communication interface, processor, memory and programming to configure the intelligent system element as a lighting device, utility building control and automation element, controller or sensor. At least one of the intelligent lighting devices is configured as a building control and automation system server. Several examples, however, implement the overall control using distributed processing.

Distributed building control system

A spectrometer-equipped lighting device detects substances in an environment around the device. A fiber detector is optically coupled to receive light from a light source. The fiber detector has a bare area from which emanates an evanescent wave of light surrounding an exterior of the fiber detector to interact with the environment in which the fiber detector is exposed. The spectrometer, optically coupled to an opposite end of the fiber detector, detects the light output and in response, generates signals representative of the spectral power distribution of the light of the evanescent wave that has interacted with the surrounding environment. A controller analyzes the spectrometer generated signals and initiates action based on the analysis of the generated signals or outputs a report indicating an environmental condition detected by the spectrometer-equipped device.

Reconfigurable optical fiber spectrometer in a lighting device

A lighting system utilizes intelligent system elements, such as lighting devices, user interfaces for lighting control or the like and possibly sensors. The system also has a data communication network. Some number of the intelligent lighting system elements, including at least two of the lighting devices, also support wireless communication with other non-lighting-system devices at the premises. Each such element has a communication interface system configured to provide a relatively short range, low power wireless data communication link for use by other non-lighting-system devices at the premises in proximity to the respective intelligent system element. Also, in such an element, the processor is configured to control communications via the communication interface system so as to provide access to the data network and through the data network to the wide area network outside the premises for non-lighting related communications of the other non-lighting-system devices.

An example of a lighting system includes intelligent lighting devices, each of which includes a light source, a communication interface and a processor coupled to control the light source. In such a system, at least one of the lighting devices includes a user input sensor to detect user activity related to user inputs without requiring physical contact of the user; and at least one of the lighting devices includes an output component to provide information output to the user. One or more of the processors in the intelligent lighting devices are further configured to process user inputs detected by the user input sensor, control lighting and control output to a user via the output component so as to implement an interactive user interface for the system, for example, to facilitate user control of lighting operations of the system and/or to act as a user interface portal for other services.

Interactive user interface functionality for lighting devices or system

A system including an electroencephalography (EEG) device configured to be positioned on a head of a user and process detected EEG signals. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor to generate, based on a control instruction, a control data signal, for control of an operation of a controllable device configured to provide a premises related service in an area of a premises. In the training phase, execution of the instructions configures the processor to determine whether or not that the control operation of the control data signal is consistent with the detected EEG signals based on a trusted input from the user, and upon determination that the control operation is consistent with the detected EEG signals, store, in the memory, recognition data characterizing the detected EEG signals as a predetermined set of signals in association with the control instruction.

Training of an electroencephalography based control system

A system including an electroencephalography (EEG) device configured to be positioned on a head of a user. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor to, in configuration phase, for each respective location among a plurality of locations at a respective time among a plurality of times, obtain an identification (ID) associated with the respective premises at the respective time, determine a control instruction associated with the EEG signals detected from among a plurality of control instructions; store the determined control instruction in association with the obtained premises ID, as a user preference data relative to the respective location; and at a later time, during an operational phase at the respective location, utilize the stored user preference data to communicate a control data signal corresponding to the determined control instruction to a controllable device at the respective premises.

User preference and user hierarchy in an electroencephalography based control system

Disclosed are examples of hyperspectral imager-equipped lighting devices that provide general illumination supplied by artificial or natural light, and that also detect environmental conditions in the environment around the lighting device. The hyperspectral imager detects light within a contiguous spectral band from the environment in the vicinity of the lighting device. In response, the hyperspectral imager generates image data representative of the spectral intensity of one or more subsets of a continuous spectrum of wavelengths of the detected light. A controller may analyze the image data generated by the hyperspectral imager and may initiate action to control operation of the light source or building management products based on an environmental condition detected by the analysis of the generated image data.

Lighting device incorporating a hyperspectral imager as a reconfigurable sensing element

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Herndon, VA, United States of America

Jack C Rains, Jr