A system and method for identifying a person's location at a school, hotel, office, business, restaurant or other venue and tracking the movements of that person during their visit to the venue. One or more wireless virtual beacons communicate with the person's electronic device. The virtual beacons provide the system with real-time data about the person's whereabouts, allowing for the confirmation and tracking of the person at the location. A first non-limiting example of use, include a company that provides food and beverage allowing the person to place an order for food and beverages on their electronic device and having the order delivered to the person at their current location as determined by the system. Another non-limiting example includes a company performing analytics on the time and movement of it's employees and customers.

An event verification application for accurately assessing geolocation data for users of the application to establish, record, and report attendance at those events for compliance, personal, or other use.

An information processing apparatus includes: a processor configured to acquire position information of a communication device; and a storage configured to store first map information and second map information. The processor is further configured to, in a case in which the processor acquires position information a predetermined number of times of at least two or more, in a first partial area of plurality of first partial areas, determine that the communication device exists in the first partial area. The processor is further configured to, in a case in which the processor acquires position information a predetermined number of times of at least two or more, in a second partial area of plurality of second partial areas, determine that the communication device exists in the second partial area.

A method and a communication device for estimating a geographical position of a point of interest is suggested, where the method comprise: acquiring estimates of a first relative distance between, and a direction from a first communication device to the point of interest, wherein said estimate is based on data provided from the first communication device; acquiring complementary data, suitable for estimating a second relative distance between, and a second direction from at least one second communication device to the point of interest, wherein the at least one second communication device has been determined based on the estimated first relative distance and direction, and acquiring an estimate of a geographical position of the point of interest, wherein said estimate is based on the estimates of the first relative distance and direction and the acquired complementary data.

An artificial intelligence (AI)-based method, apparatus, and system are provided for positioning an electronic device, a server. The method includes: a server obtains a prediction request, determines historical data of an electronic device based on a device identifier, and generates query prediction information. The server further outputs the query prediction information. According to this application, when a positioning query request sent by a terminal device is received, the query prediction information corresponding to the positioning query request can be generated based on the historical data of the to-be-queried electronic device, and the query prediction information is output to the terminal device, so that a user can learn, based on the query prediction information, prediction information such as time consumed for query or a positioning success rate.

Methods and apparatus for improving the provision of a procedure based upon automated determination of a location of agents and equipment during a procedure and quantifying conditions in an environment via automated sensors. The present invention provides apparatus and methods for wireless designation of a position of health care providers and equipment relative to each other based upon wireless communications amongst multiple wireless transceivers combined with ongoing monitoring of conditions present in a facility. The transceivers may be portions of nodes and nodes may form self-verifying arrays. A user interface may provide a augmented reality view of positions of all or some the providers and equipment and condition quantifying sensors.

A safety sensing system implements a method for a person in an industrial environment comprises providing a personnel locator device (10) for location on a person and a reference system comprising a plurality of nodes (20) located at predetermined locations in the industrial environment (100). Radio ranging signals are transmitted between the nodes (20) and the personnel locator device (10) and measurements of times of flight of the radio ranging signals are derived. The location of the personnel locator device (10) is calculated based on the measurements of the times of flight of the radio ranging signals and reference information representing the predetermined locations of the nodes (10). It is determined if the calculated location of the personnel locator device (10) is within one or more danger zones in the industrial environment (100) and a warning signal is output in response thereto.

Methods and apparatus for interacting with a tag in a radio target area. More specifically, the present invention relates to methods and systems for monitoring temperature and other environmental conditions in a storage area and displaying environmental conditions as digital content in a user interactive interface based upon energy levels received from a radio target area and content from a sensor generating digital content.

The present invention relates to systems and methods for measuring signal strength emitted by a wireless portable device to determine the location of the wireless portable device. The wireless portable device may be located within a designated geographical location, premise or facility. The measurement involves two levels of transmissions. A first level involves a user's wireless portable device receiving signals from a plurality of beacons in the vicinity. The second level involves transmission of repeater signals from a mesh network. The payload of these signals, which may include a duress signal, includes the strength of the received beacon signals, so that when the duress signal is received by a controller, the signal strengths of both levels/types of transmissions can be determined. This two-level collection of signals is then processed by a neural network which have been previously trained to classify the signal collections into precise locations.

The proposed solution in particular relates to a computer-implemented method to identify user computing device locations based on location data and beacon signal strength in which a user computing device receives a beacon signal comprising a beacon device identifier from a beacon device via a wireless network scan and determines that a second location of the user computing device is within a geofence boundary and is less than a predefined distance from a location of the beacon device based on a beacon signal strength of the beacon device. The beacon signal strength is based on at least one of the received beacon signal and further signals received from the beacon device via the wireless network scan. In response to determining that the second location is less than the predefined distance from the location of the beacon device, the user computing device transmits a next in line status message indicating the location of the user computer device and a user identifier associated with the user computing device to a computing device associated with the beacon device.