Abstract: A lighting system for illuminating an environment, the lighting system comprising a plurality of lighting modules (111, 112, 113), the lighting modules comprising a light source (111a) for emitting light, illuminating an area, an acoustic sensor (111b) arranged for sensing noise in the area, a network interface configured to allow the lighting module to send noise data via a network, and a vehicle routing device (120) comprising: a first network interface (121) configured to receive noise data from the plurality of lighting modules via the network, a processor circuit arranged to calculate noise metrics for different regions (341-344) in the environment from the received noise data, compare the calculated noise metric with noise metric threshold values, dependent upon the calculated noise metric exceeding a noise metric threshold value for a particular region, generating a traffic rerouting signal, said traffic rerouting signal causing a traffic routing system to reroute traffic away from said particular regi

Abstract: A lighting system has at least one luminaire (1) for illuminating a thoroughfare (10). At least one sensor (11,12,13) detects that a fallen object (30) may be at least partially blocking said thoroughfare (10). A traffic flow monitor (11,12,13) monitors traffic flow along said thoroughfare (10). The light output by the luminaire (1) is controlled to be of a first pattern in accordance with a determination that a fallen object (30) is at least partially blocking said thoroughfare (10). The light output by the luminaire (1) is controlled to be of a second pattern in accordance with the traffic flow monitor (11,12,13) determining that traffic is flowing along said thoroughfare (10).

Abstract: A pollution estimation system (100) for estimating pollution level caused by exhaust gas of motor vehicles is provided. The system comprises an acoustic sensor interface (110) arranged to obtain use-data from an acoustic sensor comprising an audio sample of a motor vehicle sound and a trained exhaust gas model unit (120) arranged to receive as input the audio sample of the use-data and to apply a trained exhaust gas model to the received audio sample to produce an estimated pollution level associated with the received audio sample. The trained exhaust gas model has been obtained by training an exhaust gas model on multiple training items using a machine learning algorithm, the multiple training items comprising multiple audio samples of motor vehicle sounds obtained from one or more acoustic sensors and associated pollution levels.

Abstract: A lighting-system (100) for illuminating an environment, comprising a lighting module (111, 112, 113), a sensor (141, 142, 143) and a lighting-system control device (130). The lighting module (111, 112, 113) comprises a light source (121) for emitting light, and a programmable controller (122) configured to control an operation of the light source. The sensor is arranged to obtain sensing data from an area illuminated by the light source (121). The lighting-system control device (130) comprises a processor circuit (133) configured to apply an activity classifier to the sensing data to obtain an activity classification for the area, to determine lighting control data to change a light spectrum of the light source based on the activity classification, and to transmit the lighting the lighting control data.

Abstract: A global object detection system comprising a plurality of local object detection systems, each arranged to monitor a respective area and comprising: an image capture device arranged to capture image data from its respective area; an illumination device for emitting light into its respective area; a local object detector for detecting objects in that area; a data interface for transmitting data from the local object detector to a central, remote image processing system; wherein the local object detector is configured to: control the illumination source to emit light having an identifiable characteristic; apply local image processing to the captured image data to detect objects in that area, as an absence of the identifiable characteristic in a shadow region created by the object; in response to an object being detected, transmit a portion of the image data including the detected object to the remote image processing system for further processing.

Abstract: A lighting system has at least one luminaire (1) for illuminating a thoroughfare (10). At least one sensor (11,12,13) detects that a fallen object (30) may be at least partially blocking said thoroughfare (10). A traffic flow monitor (11,12,13) monitors traffic flow along said thoroughfare (10). The light output by the luminaire (1) is controlled to be of a first pattern in accordance with a determination that a fallen object (30) is at least partially blocking said thoroughfare (10). The light output by the luminaire (1) is controlled to be of a second pattern in accordance with the traffic flow monitor (11,12,13) determining that traffic is flowing along said thoroughfare (10).

Abstract: Some embodiments are directed to a microphone calibration system (100) for multiple microphones (110), said microphones being arranged in an area in which moving objects pass the microphones. The system computes a first and second sound profile from first and second sound measurements, said first and second sound profiles being indicative of a calibration of the first and second microphones, and determines a need to calibrate the first or second microphone.

Abstract: Some embodiments are directed to a microphone calibration system (100) for multiple microphones (110), said microphones being arranged in an area in which moving objects pass the microphones. The system computes a first and second sound profile from first and second sound measurements, said first and second sound profiles being indicative of a calibration of the first and second microphones, and determines a need to calibrate the first or second microphone.

Abstract: A surveillance system is presented that aims to improve image quality. The surveillance system comprises a plurality of lighting apparatuses comprising one or more lights; a surveillance imaging device arranged to capture image data of a monitored area illuminated by one or more of the lighting apparatuses; an image processor arranged to receive the image data from the surveillance imaging device, wherein the image data comprises a plurality of frames, and the image processor is arranged to analyse each frame of the image data to obtain an image quality parameter for each frame; and a controller arranged to determine a difference between a value of the image quality parameter for a current frame and a reference value of the image quality parameter, wherein if said difference is greater than a threshold value.

Abstract: A lighting system for illuminating an environment, the lighting system comprising a plurality of lighting modules (111, 112, 113), the lighting modules comprising a light source (111a) for emitting light, illuminating an area, an acoustic sensor (111b) arranged for sensing noise in the area, a network interface configured to allow the lighting module to send noise data via a network, and a vehicle routing device (120) comprising: a first network interface (121) configured to receive noise data from the plurality of lighting modules via the network, a processor circuit arranged to calculate noise metrics for different regions (341-344) in the environment from the received noise data, compare the calculated noise metric with noise metric threshold values, dependent upon the calculated noise metric exceeding a noise metric threshold value for a particular region, generating a traffic rerouting signal, said traffic rerouting signal causing a traffic routing system to reroute traffic away from said particular regi

Abstract: A controller (160) for controlling a lighting system so as to guide a vehicle, comprising: an interface (166) arranged for communicating with at least one luminaire (116, 126, 136) for illuminating an environment in which at least one container (112, 122, 132) is located, the interface (166) further arranged to communicate with at least one sensor (114, 124, 134) for monitoring usage of the at least one container, the controller (160) arranged to receive and process information of the at least one container from the at least one sensor (114, 124, 134), so as to obtain status information of the at least one container (112, 122, 132); and the controller (160) arranged to receive positioning information from a vehicle (140) in the environment; the controller (160) arranged to use the status information of the at least one container and the positioning information of the vehicle (140) to cause the at least one luminaire (116, 126, 136) to be illuminated in a fashion that guides a driver of the vehicle relative to

Abstract: A lighting-system (100) for illuminating an environment, comprising a lighting module (111, 112, 113), a sensor (141, 142, 143) and a lighting-system control device (130). The lighting module (111, 112, 113) comprises a light source (121) for emitting light, and a programmable controller (122) configured to control an operation of the light source. The sensor is arranged to obtain sensing data from an area illuminated by the light source (121). The lighting-system control device (130) comprises a processor circuit (133) configured to apply an activity classifier to the sensing data to obtain an activity classification for the area, to determine lighting control data to change a light spectrum of the light source based on the activity classification, and to transmit the lighting the lighting control data.

Abstract: A surveillance system is presented that aims to improve image quality. The surveillance system comprises a plurality of lighting apparatuses comprising one or more lights; a surveillance imaging device arranged to capture image data of a monitored area illuminated by one or more of the lighting apparatuses; an image processor arranged to receive the image data from the surveillance imaging device, wherein the image data comprises a plurality of frames, and the image processor is arranged to analyse each frame of the image data to obtain an image quality parameter for each frame; and a controller arranged to determine a difference between a value of the image quality parameter for a current frame and a reference value of the image quality parameter, wherein if said difference is greater than a threshold value.

Abstract: A decision support unit for an outdoor lighting network (100) is disclosed. The outdoor lighting network includes a plurality of lighting units (LU1-LU8) grouped in a plurality of zones (30, 31). The decision support unit includes a controller (20) including safety monitor module (23) arranged to determine a safety factor for each of the plurality of zones (30, 31). The safety factor for each the plurality of zones 30, 31 is determined using at least one factor that represents an aspect that contributes to an assessment of each of the plurality of zones' safety. The decision support unit may also include a decision module (24) that determines a repair priority of a faulty lighting unit (LU1-LU8) using the safety factors determined by the safety monitor module (23).

Abstract: The invention provides A light management system for an outdoor lighting network system, comprising a plurality of outdoor light units wherein at least one light unit includes at least one sensor type, a central management system in communication with light units, said central management system sends control commands 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 and implement a lighting strategy relating to the lighting characteristics of the plurality of outdoor light units, wherein the central management system uses the light unit status/sensor information to form a user's behavior analyses, and determine or estimate or predict the user's motion trajectory and/or position and a change in a user-controlled light use and/or ambient light, and determine whether to modify the lighting strategy and/or reconfigure one or more of the lights units.

Abstract: A computing unit (10) and a method are provided. The method comprises obtaining data being indicative of operational statuses and geographic positions of a plurality of street devices (11), and obtaining region description data for a region in which the street devices are located. Further, the geographic positions and operational statuses of the street devices are correlated with the region description data.

Abstract: A control device (110) for controlling the environment in a region (102) within a structure (104) by means of controlling operation of a control system (120), which is adapted to adjust at least one property of the environment in the region (102), is disclosed. The control device comprises a user interface (112) adapted to selectively indicate to a user a range of available values representing at least one property of the environment in the region (102) that is adjustable by the control system (120) at least based on presence information of any persons being present within the region (102) such that the extent of control of the environment in the region (102) by means of the control device (120) that is thereby enabled the user is based at least partly on the presence information.

Abstract: Alighting system may include: at least one controller which may be configured to: obtain lighting logging data including feature information related to features of the lighting system and obtained from a plurality of feature spaces; determine lighting prediction data which predicts at least one component failure in the lighting system at a future time in accordance with the lighting logging data and include at least one complex feature; model predicted component failures which are predicted to occur at a future time in accordance with the lighting prediction data and maintenance cost; and/or store the predicted component failures model in a memory.

Abstract: A pollution estimation system (100) for estimating pollution level caused by exhaust gas of motor vehicles is provided. The system comprises an acoustic sensor interface (110) arranged to obtain use-data from an acoustic sensor comprising an audio sample of a motor vehicle sound and a trained exhaust gas model unit (120) arranged to receive as input the audio sample of the use-data and to apply a trained exhaust gas model to the received audio sample to produce an estimated pollution level associated with the received audio sample. The trained exhaust gas model has been obtained by training an exhaust gas model on multiple training items using a machine learning algorithm, the multiple training items comprising multiple audio samples of motor vehicle sounds obtained from one or more acoustic sensors and associated pollution levels.

Abstract: A lighting system which includes at least one controller which is configured to: obtain lighting logging information related to operation of a lighting system including a plurality of lamps from a lighting logging data portion; model lamp failures in the lighting system in accordance with the lighting logging information in the lighting system and maintenance cost, the model having a time range; predict failures in the lighting system at future times at least in part in accordance with the prediction model; form a graphical user interface (GUI) which includes a graphical depiction of the model; and render the GUI on a rendering device.