Machine learning method and systems for estimating a location of a target wireless device in an environment are disclosed. A machine learning method comprises: receiving a plurality of training received signal indictor data sets for discrete locations in the environment, each training received signal data set comprising received signal indicator values and corresponding wireless transmitter identifiers for wireless signals received by a test wireless device at a respective discrete location; generating feature vectors from the received signal indicator data sets; training a machine learning model using the feature vectors to obtain a trained machine learning model; receiving a target received signal data set from the target wireless device, the target received signal data set comprising signal indicator values and corresponding wireless transmitter identifiers for wireless signals received by the target wireless device; generating a target feature vector from the target received signal data set; and estimating a location of the target wireless device as a discrete location output by the trained machine learning model in response to the target feature vector.

Machine learning method and systems for estimating a location of a target wireless device in an environment are disclosed. A machine learning method comprises: receiving a plurality of training received signal indictor data sets for discrete locations in the environment, each training received signal data set comprising received signal indicator values and corresponding wireless transmitter identifiers for wireless signals received by a test wireless device at a respective discrete location; generating feature vectors from the received signal indicator data sets; training a machine learning model using the feature vectors to obtain a trained machine learning model; receiving a target received signal data set from the target wireless device, the target received signal data set comprising signal indicator values and corresponding wireless transmitter identifiers for wireless signals received by the target wireless device; generating a target feature vector from the target received signal data set; and estimating a location of the target wireless device as a discrete location output by the trained machine learning model in response to the target feature vector.

The apparatus of wireless communication is a UE. The UE out of coverage of any base station may operate in a VLP mode and set a signal transmission power to a first power level. The UE may detect and connect to a base station, switch the power mode of UE based on a power mode of the base station connected by the UE, and switch the signal transmission power from the first power level to the second power level greater than the first power level. When the UE detects equal to or more than two base stations, the UE may select the base station from the equal to or more than two base stations detected based on a condition and connect to the base station selected from the two detected base stations.

The apparatus of wireless communication is a UE. The UE out of coverage of any base station may operate in a VLP mode and set a signal transmission power to a first power level. The UE may detect and connect to a base station, switch the power mode of UE based on a power mode of the base station connected by the UE, and switch the signal transmission power from the first power level to the second power level greater than the first power level. When the UE detects equal to or more than two base stations, the UE may select the base station from the equal to or more than two base stations detected based on a condition and connect to the base station selected from the two detected base stations.

A method of wireless communication locator station to be disposed at specific location includes: detecting rotation angle information of client-based portable device, carried or worn by user, according to specific wireless communication standard between wireless communication locator station and client-based portable device when client-based portable device is within signal range of wireless communication locator station; generating head pose direction estimation according to calculated rotation angle information; and when head pose direction estimation indicates that a user turns face towards wireless communication locator station, sending packet signal from wireless communication locator station to server-based portable device, successfully paired with and security-connected with client-based portable device, so that server-based portable device can transfer packet signal to client-based portable device after receiving packet signal.

A positioning unit of an access control and user tracking system includes an antenna, which is embedded in the substrate of a ceiling tile of a drop ceiling system. The antenna can be observable (embedded in the substrate of an exposed surface of the ceiling tile), or, alternately, not observable (concealed within the substrate of the ceiling tile). A pinhole camera for capturing video information is inserted through the substrate of the ceiling tile and protrudes from the exposed surface of the tile. A ground plane covers the unexposed surface of the ceiling tile. A control module, comprising a controller, a network interface, an antenna controller, a power supply, an omni directional antenna and/or memory for the positioning unit, is positioned on the unexposed surface of the tile.

A positioning unit of an access control and user tracking system includes an antenna, which is embedded in the substrate of a ceiling tile of a drop ceiling system. The antenna can be observable (embedded in the substrate of an exposed surface of the ceiling tile), or, alternately, not observable (concealed within the substrate of the ceiling tile). A pinhole camera for capturing video information is inserted through the substrate of the ceiling tile and protrudes from the exposed surface of the tile. A ground plane covers the unexposed surface of the ceiling tile. A control module, comprising a controller, a network interface, an antenna controller, a power supply, an omni directional antenna and/or memory for the positioning unit, is positioned on the unexposed surface of the tile.

A computing device equipped with a camera may be used to assist a person in planning and traversing exit routes for a premises. For example, a user may be able to interact with one or more user interfaces generated by the computing device to determine an exit route for the premises. The user may be able to identify various objects, such as stairs or doors, along the exit route. The user may be able to identify graphical or textual information that can be displayed at certain points along the exit route. After determining the exit route, a data structure for the exit route may be shared with other users and/or be used to assist a user in traversing the exit route. For example, the data structure may be used as a basis for overlaying graphics and/or text on a real-time video display as the user traverses the exit route.

A computing device equipped with a camera may be used to assist a person in planning and traversing exit routes for a premises. For example, a user may be able to interact with one or more user interfaces generated by the computing device to determine an exit route for the premises. The user may be able to identify various objects, such as stairs or doors, along the exit route. The user may be able to identify graphical or textual information that can be displayed at certain points along the exit route. After determining the exit route, a data structure for the exit route may be shared with other users and/or be used to assist a user in traversing the exit route. For example, the data structure may be used as a basis for overlaying graphics and/or text on a real-time video display as the user traverses the exit route.

As described herein, a system, method, and computer program are provided for generating insights from home network router data. In use, network usage/connection data is collected from a home network router operating in a residential space. Additionally, the network usage/connection data is processed to generate insights for the network usage/connection data. Further, the insights are output for display to one or more users.