Abstract: A system and method for providing object recognition using artificial neural networks. The method includes capturing a plurality of reference images with a camera associated with an edge node on a communication network. The reference images are received by a centralized server on the communication network. The reference images are analyzed with a parent neural network of the centralized server to determine a subset of objects identified by the parent neural network in the reference images. One or more filters that are responsive to the subset of objects are selected from the parent neural network. A pruned neural network is created from only the one or more filters. The pruned neural network is deployed to the edge node. Real-time images are captured with the camera of the edge node and objects in the real-time images are identified with the pruned neural network.

Abstract: A method (400) for analyzing output of lighting units (10) in a lighting system (100) includes the steps of: (i) simulating (430), based on data from a photometric database (310), the output of a lighting unit; (ii) receiving and storing (420), from a database (330) of historical information, historical observed data about the output of the lighting unit; (iii) receiving (450) observed data (36) about the output of the lighting unit; (iv) generating (440) a model of the lighting system based at least in part on the simulated output of the lighting unit and the historical observed data about the output of the lighting unit, wherein the model comprises localization information for the lighting unit; and (v) comparing (470) the received observed data about the output of the lighting unit to the generated model, wherein a fault is detected if the observed data varies from the generated model by a predetermined amount.

Abstract: A system (100) for dynamic lighting including: a plurality of lighting units (10) each having a light source (12), a unique identifier, and a communications module (24a); and a gateway (20) having a communications module (24b) configured to communicate via a low-bandwidth wireless communication method with the lighting units, and having a controller (26) configured to: (i) receive instructions for a dynamic lighting pattern for a first time period for the plurality of lighting units; (ii) generate sequential command files each comprising information for a sequential subset of the first time period, each of the plurality of sequential command files further comprising instructions for timing and color for each of the plurality of lighting units and associated with an identifier for a respective lighting unit; (iii) compress each of the plurality of sequential command files; and (iv) sequentially transmit the plurality of sequential command files to the lighting units.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling a network of lights (120) according to whether people (122) who are observing the lights are visitors from a different location (108). Visitors can be identified by using network connection data (116, 208) that includes entries corresponding to personal devices of visitors to a city. The network connection data can be filtered to identify how many personal devices are associated with people visiting from a different city. If the number of visitors exceeds some threshold relative to non-visitors, a lighting arrangement in the city can be controlled to display features that would appeal to the visitors. The features can correspond to aspects of the city where the visitors are from and can therefore make the city more attractive.

Abstract: A method and system for collecting luminaire information is disclosed. A first data collection apparatus collects first data related a plurality of luminaires and a second data collection apparatus collects second data related the plurality of luminaires. Further, a processing device is configured to analyze the first and second data to determine at least one characteristic for each of the plurality of luminaires.

Abstract: A system and method for providing object recognition using artificial neural networks. The method includes capturing a plurality of reference images with a camera associated with an edge node on a communication network. The reference images are received by a centralized server on the communication network. The reference images are analyzed with a parent neural network of the centralized server to determine a subset of objects identified by the parent neural network in the reference images. One or more filters that are responsive to the subset of objects are selected from the parent neural network. A pruned neural network is created from only the one or more filters. The pruned neural network is deployed to the edge node. Real-time images are captured with the camera of the edge node and objects in the real-time images are identified with the pruned neural network.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling energy resources available to micro-grids of a city based on mobility patterns of people moving within the micro-grids. The mobility patterns can be identified using a network of sensors within each micro-grid for collecting data related to the movement of people within the micro-grids. The mobility patterns can be used to estimate energy demand for each micro-grid and prioritize the energy demands to determine the energy resources that would be suitable for supplying power to each micro-grid. This allows for micro-grids to dynamically and efficiently change their power sources according to predictions about the movement of people within the micro-grids.

Abstract: Techniques are described herein for to improving optical wireless communications based on mobility patterns. In various embodiments, one or more mobility patterns observed in an area over time may be determined (302). The area may be illuminated by one or more lighting units (102) configured to transmit information using optical wireless communications (“OWC”). An applicable mobility pattern may be selected (308) from the one or more mobility patterns. Based on the selected mobility pattern, usage in the area of a plurality of OWC-based mobile apps (230) may be predicted (310). One or more OWC resources of at least one of the one or more lighting units may be allocated (312) for transmission of data to one or more of the plurality of OWC-based mobile apps operating on one or more mobile devices operated within the area. In various embodiments, the allocating may be based at least in part on the predicted usage.

Abstract: The invention provides a light management information system for an outdoor lighting network system, having a plurality of outdoor light units each including at least one sensor type, where each of the light units communicates with at least one other light unit, at least one user input/output device in communication with at one or more of said outdoor light units, a central management system in communication with light units, said central management system sends control commands and/or information to one or more of said outdoor light units, in response to received outdoor light unit status/sensor information from one or more of said outdoor light units or received user information requests from said user input/output device, a resource server in communication with said central management system, wherein the central management system uses the light unit status/sensor information and resources from the resource server to provide information to the user input/output device and/or reconfigure one or more of the l

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling lights (130) in an area of a city (200) based on demographic data and/or mobility pattern data (120). Using the demographic data and/or the mobility pattern data, the lights can be arranged to attract people (214) to the area (210) where the lights are located. The mobility pattern data can be used to identify when people are typically moving towards the area, in order that the lights can be prepared to attract people in advance of their arrival. Furthermore, an output of the lights can be measured to measure certain characteristics about the lights so that the lights can be adjusted to better appeal to the demographic of people in the area.

Abstract: The invention provides a light management information system for an outdoor lighting network system, having a plurality of outdoor light units each including at least one sensor type, where each of the light units communicates with at least one other light unit, at least one user input/output device in communication with at one or more of said outdoor light units, a central management system in communication with light units, said central management system sends control commands and/or information to one or more of said outdoor light units, in response to received outdoor light unit status/sensor information from one or more of said outdoor light units or received user information requests from said user input/output device, a resource server in communication with said central management system, wherein the central management system uses the light unit status/sensor information and resources from the resource server to provide information to the user input/output device and/or reconfigure one or more of the l

Abstract: Methods and systems for providing enhanced augmented reality features and enhancements are disclosed such as an AR support system (100) using lighting units (LU1) in a lighting system (100) to improve performance of augmented reality devices (20). The lighting system (100) may also take advantage of features of the augmented reality devices (20) to improve the safety and performance of the lighting system (100). The lighting units (LU1) include sensors and communication capabilities that detect situations as to when the augmented device would need to be assisted by the lighting network. Finally a method to provide assistance information to the augmented reality device while optimizing energy savings is also described.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling a network of lights (120) according to whether people (122) who are observing the lights are visitors from a different location (108). Visitors can be identified by using network connection data (116, 208) that includes entries corresponding to personal devices of visitors to a city. The network connection data can be filtered to identify how many personal devices are associated with people visiting from a different city. If the number of visitors exceeds some threshold relative to non-visitors, a lighting arrangement in the city can be controlled to display features that would appeal to the visitors. The features can correspond to aspects of the city where the visitors are from and can therefore make the city more attractive.

Abstract: An autonomous vehicle support system, including a lighting network (100) having, a plurality of light units (106-1, . . . , 106-N) wherein at least one light unit includes at least one sensor type (110-1, . . . , 110-N), and a centralized or distributed controller (102, 105-1, . . . , 105-N), wherein a first light unit (106-1, . . . , 106-N) receives sensor data from its sensor type (110-1, . . . , 110-N), wherein the controller (105-1, . . . , 105-1) forms a local environmental perception of an area local to the first light unit (106-1, . . . , 106-N), using the received sensor data from light unit, and receives sensor measurement data from an autonomous vehicle relating to at least a portion of the area, and cross-validates the local environmental perception of the area and the sensor measurement data from the autonomous vehicle.

Abstract: Techniques are described herein for to improving optical wireless communications based on mobility patterns. In various embodiments, one or more mobility patterns observed in an area over time may be determined (302). The area may be illuminated by one or more lighting units (102) configured to transmit information using optical wireless communications (“OWC”). An applicable mobility pattern may be selected (308) from the one or more mobility patterns. Based on the selected mobility pattern, usage in the area of a plurality of OWC-based mobile apps (230) may be predicted (310). One or more OWC resources of at least one of the one or more lighting units may be allocated (312) for transmission of data to one or more of the plurality of OWC-based mobile apps operating on one or more mobile devices operated within the area. In various embodiments, the allocating may be based at least in part on the predicted usage.

Abstract: A lighting-system (100) for illuminating an environment, the lighting system comprising a plurality of lighting modules (111, 112, 113) and a lighting-system control device (130). The lighting modules comprise: —a light source (121) for emitting light, —a programmable controller (122) configured to control an operation of the light source, and —a network interface (123) configured to allow the lighting module to communicate via a network. The lighting-system control device (130) comprises: —a processor circuit (133) configured to determine lighting control data to change the light spectrum of the light source based on the mobility data of the at least one user, and to transmit the lighting control data to at least one lighting module of the plurality of lighting modules to program said lighting module according to the lighting control data.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling energy resources available to micro-grids of a city based on mobility patterns of people moving within the micro-grids. The mobility patterns can be identified using a network of sensors within each micro-grid for collecting data related to the movement of people within the micro-grids. The mobility patterns can be used to estimate energy demand for each micro-grid and prioritize the energy demands to determine the energy resources that would be suitable for supplying power to each micro-grid. This allows for micro-grids to dynamically and efficiently change their power sources according to predictions about the movement of people within the micro-grids.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling lights (130) in an area of a city (200) based on demographic data and/or mobility pattern data (120). Using the demographic data and/Gall or the mobility pattern data, the lights can be arranged to attract people (214) to the area (210) where the lights are located. The mobility pattern data can be used to identify when people are typically moving towards the area, in order that the lights can be prepared to attract people in advance of their arrival. Furthermore, an output of the lights can be measured to measure certain characteristics about the lights so that the lights can be adjusted to better appeal to the demographic of people in the area.

Abstract: The invention provides a light management information system for an outdoor lighting network system, having a plurality of outdoor light units each including at least one sensor type, where each of the light units communicates with at least one other light unit, at least one user input/output device in communication with at one or more of said outdoor light units, a central management system in communication with light units, said central management system sends control commands and/or information to one or more of said outdoor light units, in response to received outdoor light unit status/sensor information from one or more of said outdoor light units or received user information requests from said user input/output device, a resource server in communication with said central management system, wherein the central management system uses the light unit status/sensor information and resources from the resource server to provide information to the user input/output device and/or reconfigure one or more of the l

Abstract: Inventive methods and apparatus for management of outdoor lighting networks. In particular, methods and apparatus are provided that enable the operation and management of outdoor lighting infrastructure leveraging an ITS infrastructure and connected devices, as well provided parking and payment services to users.