Aifi Inc.

Joao Falcao

Steve Gu

Ying Zheng

Tyler Crain

Shuang Liu

Brian L Bates

Juan Ramon Terven-Salinas

Carlos E Ruiz

Juan Terven

Long Chen

Will Hendry

Marek Drozdowski

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for anonymous checkout in a store. One of the methods includes receiving, by a computer system of the store, information associated with a payment account of a person; sending, by the computer system to a server associated with a payment system, the received information associated with the payment account of the person; receiving, by the computer system from the server associated with the payment system, a token associated with the payment account of the person; receiving, by the computer system from a plurality of sensors, data associated with the person; extracting, by the computer system based on the received data associated with the person, a plurality of features of the person; and storing, by the computer system, the received token in correspondence with information associated with the extracted features of the person.

Method and system for anonymous checkout in a store

This application relates to systems, methods, devices, and other techniques for a hybrid autonomous store that can be utilized within a retail environment. This system with doors, cameras, and sensors is designed to have many functions within a store with identification system and sometimes can be utilized in a store with or without human cashier.

Hybrid autonomous store

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking objects in a store. One of the methods includes receiving, by one or more first computing devices, data captured by one or more sensors in the store; identifying, by the one or more first computing devices, a plurality of objects based on the received data, wherein the identified objects comprise one or more persons and one or more product items; extracting, by the one or more first computing devices, a plurality of features associated with each of the identified objects; generating, by the one or more first computing devices, a digest comprising information of the extracted features associated with the identified objects; and sending, by the one or more first computing devices, the digest to one or more second computing devices for processing.

Method and system for tracking objects in an automated-checkout store based on distributed computing

This application relates to systems, methods, devices, and other techniques that can be utilized to generate models for a camera system simulation in a retail environment and perform simulation to perfect these models.

Method to generate models for testing and training in a retail environment for a camera simulation system

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking a product item in an automated-checkout store. One of the methods includes receiving, from a plurality of sensors, data collected by the sensors, identifying an account associated with a person who enters the store, receiving data on movement of the product item collected by one or more of the sensors, determining an interaction between the person and the product item based on the data collected by one or more of the sensors, storing information associating the product item with the person; and deducting a payment amount from the identified account, wherein the payment amount is based on a price of the product item associated with the person.

Tracking product items in an automated-checkout store

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring shopping activities using weight data in a store. One of the methods includes receiving, from one or more image sensors and one or more weight sensors, data collected by the one or more image sensors and data collected by the one or more weight sensors; identifying, based at least on the data collected by the one or more image sensors, one or more product items removed by a person from the store; calculating an expected total weight of the one or more product items based on information associated with the one or more product items stored by the computer system; determining, based on the data collected by the one or more weight sensors, an actual total weight of the one or more product items removed by the person; and verifying the actual total weight is consistent with the expected total weight.

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San Jose, CA, United States of America

Joao Falcao