Radius Networks Inc.

Timothy Judkins

David Helms

Marc Wallace

Scott Yoder

Francis Nguyen

Christopher Sexton

Scott Newman

Kristoffer Zabala

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

Electronics housing

Prior arrangement information is automatically fetched in response to detection that a radio presence advertising mobile device of a user is disposed in a region of interest that is operatively adjacent to a transaction-processing location. The fetched information is used to automatically modify the transaction.

Associating prior arrangements with on-premise manual transactions and concomitant presence of actor's presence-advertising emitter in fine resolution region

A radio presence-advertising signal (PAS) a PAS emitter is simultaneously received at two or more co-located directional antennas that are coupled to respective radio receivers. The antennas have reception sensitivity lobes that overlap to define a region of interest at the overlap. Substantially cotemporaneous signal strength indications are obtained from the radio receivers. A difference signal representative of a difference between two of the obtained signal strength indications of the respective antennas is generated. An average signal representative of a running average of two or more of the obtained signal strength indications is generated and used to produce a normalized confidence indicator indicating a level of confidence that the PAS emitter is disposed inside (e.g., centered in) the region of interest or alternatively indicating a level of confidence that the PAS emitter is disposed outside the region of interest. Action is taken or avoided based on the confidence signal.

High confidence isolated presence detection in fine resolution region

Near field communication (NFC) to USB/bluetooth loyalty reader for mobile and NFC tags

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Vienna, VA, United States of America

Timothy Judkins