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: 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 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 present invention relates to a mental balance or imbalance estimation system (100) and method for estimating a level of mental balance or imbalance of a user (1). The system comprises a skin conductance sensor (20) for sensing the skin conductance of the user (1), the skin conductance over time forming a skin conductance trace (22). The system further comprises a processing unit (10) for receiving and processing the skin conductance trace (22), the processing unit configured to determine at least one stimulus response (24) in the skin conductance trace (22), to determine an estimated cortisol level trace (28) of the user (1) based on the determined at least one stimulus response (24), and to determine the estimated level of mental balance or imbalance of the user (1) based on the estimated cortisol level trace (28).

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 comprising light sources for illuminating an area and a control unit adapted to control the light sources. The control unit has a user interface allowing a user to select a light scene. The user interface has a screen for displaying information to the user. The control unit is adapted to control the user interface to display selected content on the screen, which content is selected such that light emitted from the screen during display of the content contributes to the selected light scene. When the screen is used in this way, i.e. as a part of the light scene created by the lighting system, the screen enhances the light scene and the risk of the screen interfering with the light scene is reduced, resulting in an improved user experience.

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 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: A lighting system comprising light sources for illuminating an area and a control unit adapted to control the light sources. The control unit has a user interface allowing a user to select a light scene. The user interface has a screen for displaying information to the user. The control unit is adapted to control the user interface to display selected content on the screen, which content is selected such that light emitted from the screen during display of the content contributes to the selected light scene. When the screen is used in this way, i.e. as a part of the light scene created by the lighting system, the screen enhances the light scene and the risk of the screen interfering with the light scene is reduced, resulting in an improved user experience.

Abstract: The present invention relates to a mental balance or imbalance estimation system (100) and method for estimating a level of mental balance or imbalance of a user (1). The system comprises a skin conductance sensor (20) for sensing the skin conductance of the user (1), the skin conductance over time forming a skin conductance trace (22). The system further comprises a processing unit (10) for receiving and processing the skin conductance trace (22), the processing unit configured to determine at least one stimulus response (24) in the skin conductance trace (22), to determine an estimated cortisol level trace (28) of the user (1) based on the determined at least one stimulus response (24), and to determine the estimated level of mental balance or imbalance of the user (1) based on the estimated cortisol level trace (28).

Abstract: Appliance comprising a housing, wherein a part of said housing is optically transmissive, said optically transmissive part having an exterior surface through which light travelling through the optically transparent part is transmitted, so as to cause the transmitted light to be visible upon viewing the exterior surface. The appliance further comprises a controllable light source assembly, capable of producing light in a variety of colors, and configured to couple produced light into the optically transmissive part of the housing. The appliance also includes a control unit, and a color vision system, configured to optically observe an environment of the appliance, and to output data relating to colors of the observed environment to the control unit. The control unit is configured to control a housing color to be produced by the light source assembly, whereby said housing color is determined in dependence of the data received from the color vision system.