Patent classifications
H04W4/33
System, method, and computer program for generating insights from home network router data
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.
System and method for matching using location information
In one embodiment, a system includes an interface and a communicatively coupled processor. The interface is configured to receive first future location information of a first user and receive second future location information of a second user. The processor is configured to determine that the first and second future location information each correspond to a future location and determine that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the processor is configured to cause information to be presented to the second user, the information to be presented to the second user comprising the future location and that the first user and the second user have the future location in common.
System and method for matching using location information
In one embodiment, a system includes an interface and a communicatively coupled processor. The interface is configured to receive first future location information of a first user and receive second future location information of a second user. The processor is configured to determine that the first and second future location information each correspond to a future location and determine that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the processor is configured to cause information to be presented to the second user, the information to be presented to the second user comprising the future location and that the first user and the second user have the future location in common.
METHODS AND SYSTEMS OF ESTIMATING LOCATION OF AN ASSET WITHIN MATERIAL HANDLING ENVIRONMENT
Various embodiments disclose a method for tracking assets. Method includes determining one or more locations of an asset within an indoor environment based on metadata associated an RF signal received from an RF tag associated with the asset. The method further includes identifying a first set of locations of the one or more locations. The method further includes identifying a second set of locations of the one or more locations, wherein the second set of locations corresponds to uncalibrated locations of the asset within indoor environment. Additionally, the method includes receiving a third set of locations of the asset. Furthermore, the method includes training a machine learning (ML) model based on the first set of locations, the second set of locations, and the third set of locations, and the metadata associated with the RF signal. The ML model predicts a fourth set of locations of another asset.
METHODS AND SYSTEMS OF ESTIMATING LOCATION OF AN ASSET WITHIN MATERIAL HANDLING ENVIRONMENT
Various embodiments disclose a method for tracking assets. Method includes determining one or more locations of an asset within an indoor environment based on metadata associated an RF signal received from an RF tag associated with the asset. The method further includes identifying a first set of locations of the one or more locations. The method further includes identifying a second set of locations of the one or more locations, wherein the second set of locations corresponds to uncalibrated locations of the asset within indoor environment. Additionally, the method includes receiving a third set of locations of the asset. Furthermore, the method includes training a machine learning (ML) model based on the first set of locations, the second set of locations, and the third set of locations, and the metadata associated with the RF signal. The ML model predicts a fourth set of locations of another asset.
Management system, management method, and location finding method
A management system, a management method, and a location finding method for managing a plurality of physical locations having multi-dimensional coordinates within a room are provided. The management system includes a plurality of terminal devices, at least one coordination device, and a management device. The management device stores a first and a second pairing table. The management device is configured to, in response to an external command, perform: obtaining an identification number of a first terminal device of the terminal devices from the first pairing table; determining, from the second pairing table, a first coordination device that is configured to manage the first terminal device; and transmitting a task command to the first coordination device such that the first coordination device assigns the first terminal device to complete the task command.
Management system, management method, and location finding method
A management system, a management method, and a location finding method for managing a plurality of physical locations having multi-dimensional coordinates within a room are provided. The management system includes a plurality of terminal devices, at least one coordination device, and a management device. The management device stores a first and a second pairing table. The management device is configured to, in response to an external command, perform: obtaining an identification number of a first terminal device of the terminal devices from the first pairing table; determining, from the second pairing table, a first coordination device that is configured to manage the first terminal device; and transmitting a task command to the first coordination device such that the first coordination device assigns the first terminal device to complete the task command.
LOCATION-BASED DYNAMIC GROUPING OF IOT DEVICES
A method, computer system, and a computer program product for dynamic internet of things (IoT) device grouping is provided. After an initial location of an IoT device is set, a current location of the IoT device is later determined. Thereafter, the determined current location is compared to the initial location. Responsive to determining that the current location does not match the initial location based on the comparing, a new IoT device group is assigned to the IoT device.
LOCATION-BASED DYNAMIC GROUPING OF IOT DEVICES
A method, computer system, and a computer program product for dynamic internet of things (IoT) device grouping is provided. After an initial location of an IoT device is set, a current location of the IoT device is later determined. Thereafter, the determined current location is compared to the initial location. Responsive to determining that the current location does not match the initial location based on the comparing, a new IoT device group is assigned to the IoT device.
PRECISE POSITIONING SYSTEM ENABLED PRODUCT LOCATION METHOD
A product location system comprises a plurality of nodes, each of which being enabled to receive and transmit signals from a user equipment device after a reading is made of a product identifier. The system also comprises a processor configured to determine a location of the user equipment device in a space containing at least one of the nodes, associate the location of the user equipment device in the space with a location of the product identifier, and build a map comprising the location of the product identifier.