Radius Networks Inc.

Christopher Sexton

Marc Wallace

David Helms

Scott Yoder

David Young

Aaron Kromer

Scott Newman

Michael Harper

Timothy Judkins

James Nebeker

Techniques for determining an estimated time of arrival associated with a pickup location are described herein. For example, a customer can order a good or service for pickup at a pickup location. In some examples, order data can include a pickup location intent, such as a drive-through location, a pickup window, or a parking location. A location of a user computing device can be determined and can be input to a machine-learning model trained to determine estimated times of arrival for a particular location. In some examples, the machine-learning model can be trained with ground truth data specific to the location for which the model is to determine estimated times of arrival. The machine-learning model can output the estimated time of arrival and can update the time at any regular or irregular intervals, which can be used to prioritize an order in an order queue.

Systems and methods for machine-learning optimization for estimated time of arrival analysis

GPS-based position reporting suffers from probabilistic error. The system and methods discussed herein reduce uncertainty by mapping a geometric figure that encompasses a GPS-based reported location and that bounds corresponding predetermined-as-more-probable true locations (MPTL's) among possible locations for the source of the reported location. The mapped figure is overlaid on a relatively accurate mapping of substantially adjacent polygonal areas. Areas of overlap are used for picking among the areas, the polygonal area most likely to be occupied by the source. In one embodiment, the polygonal areas are closely packed parking spots in a parking lot, garage or other like structure, the source is a customer's mobile phone and an attendant is tasked with quickly delivering ordered goods to the customer's parking spot.

GPS based location determination using accurately mapped polygonal areas

The disclosure relates to technology for determining locations of approaching recipients of online pre-requested or pre-ordered goods/services. Physical waiting queues and/or wait-lists are managed so that the goods/services will be provided without excessive wait times or unacceptably long wait lines or inferior quality in the provided goods/services. Resolution of location determination becomes finer and finer in one embodiment as the recipients get closer to the provisioning spot. If there is a change of plans, the recipients are notified ahead of time so as to avoid last minute surprises or disappointments.

Location sensitive queues management

Technology is disclosed for automatically building an expandable invoice for incurred charges based on recognition of charge-incurring activities by persons whose specific identities are not known via the activity recognition process. A separate process detects location of sourcing and time for a Patron-presence and Patron-identifying Advertising radio Signal (P/PAS) repeatedly broadcast by a P/PAS emitter possessed by each participating patron. Records from the two processes are matched and combined based on substantial proximity in time and space for the activity recognition and the presence detection. Payment on a pay-go-whenever-ready (PGWeR) basis is enabled with use of the built invoice. A patron can pay and leave whenever ready to do so without need for intervention by an on premise staff member.

Location-based automatic compilation of charges accrued for venue provided goods/services

The system and method of the present disclosure relates to a remotely configurable wireless broadcast device connected to a network. The device includes a network connected computer and a proxy that interfaces with one or more non-network connected broadcast devices. The wireless broadcast device monitors the non-network connected broadcast devices and periodically reports the status for each of the devices. A server, remotely located from the configurable wireless broadcast device, receives and processes the status reports. The status reports may also be monitored by a user via a common user interface connected to the server. After processing the status reports, the server sends configuration data, including updated or modified information, back to the wireless broadcast device instructing the device to configure the non-network connected devices.

Remotely configurable wireless broadcast device

The disclosure relates to technology for determining a location of a user in a physical venue without need for the user to carry extraneous devices. The method includes installing a background peripheral service (BPS) in a personal mobile device routinely carried by the user where the BPS outputs a temporary ID sequence (TID) when activated. The signal strength of the TID is measured at scanner locations each time the BPS is activated and the measured strengths are used to determine the location of the user. The TID is used to identify an order placed by the user for goods and/or services. This allows a human server to locate the user and deliver the goods and/or services to that user.

Local ephemeral location tracking of mobile device users

The system and method of the present disclosure relates to technology for monitoring a broadcast device that is non-network connected. A wireless device monitors for a broadcast message transmitted wirelessly by the broadcast device. Upon discovery of the broadcast message, the wireless device transmits information from the broadcast message to a remotely located sever via a network. The server stores the broadcast information and determines the status (e.g., online or offline) of the broadcast device. The status is determined based on the detection time (e.g., the last seen time of the broadcast device by the wireless device) and an offline threshold value (e.g., a predetermined time period) that is compared to the current time or time upon which the server received the broadcast information. As a result of the comparison, the server determines whether the broadcast device is online or offline.

Growing community of inventors

McLean, VA, United States of America

Christopher Sexton