公开(公告)号：US20220067689A1

公开(公告)日：2022-03-03

申请号：US17463461

申请日：2021-08-31

Applicant: LG ELECTRONICS INC.

Inventor： Jung Ick GUACK ,  Baisub Lee ,  Bhooshan Supe ,  Shantanu Patel ,  Gaurav Saraf ,  Helder Silva ,  Julie Huynh ,  Jaigak Song ,  Amir Hossein Khalili

IPC: G06Q20/20 ,  H04N5/232 ,  G06K9/00 ,  G06K9/62 ,  G01G19/414

Abstract: Disclosed is a method of predicting shopping events. The method includes obtaining a first set of events from a sensor and a second set of events from a camera, wherein the camera captures one or more users in front of a shelf unit; determining whether a first timestamp from the obtained first set of events and a second timestamp from the obtained second set of events are within a same time interval; determining whether a first bin number matches a second bin number based on a determination that the first timestamp and the second timestamp are within the same time interval; and generating a shopping event for a user based on a determination that the first bin number matches the second bin number, wherein the user is associated with at least one of the obtained first set of events and the second set of events.

公开(公告)号：US20220067390A1

公开(公告)日：2022-03-03

申请号：US17463419

申请日：2021-08-31

Applicant: LG ELECTRONICS INC.

Inventor： Amir Hossein KHALILI ,  Bhooshan SUPE ,  Jung Ick GUACK ,  Shantanu PATEL ,  Gaurav SARAF ,  Baisub LEE ,  Helder SILVA ,  Julie HUYNH ,  Jaigak SONG

IPC: G06K9/00 ,  G06T7/246 ,  G06T7/73 ,  G06N3/02

Abstract: Disclosed is a method for identifying and monitoring a shopping behavior in a user. The method includes capturing images from a depth camera mounted on a shelf unit, identifying a user from the captured image, identifying joints of the identified user by performing a deep neural network (DNN) body joint detection on the captured images; detecting and tracking actions of the identified user over a first time period; tracking an object from the bins over a second time period by associating the object with one or more joints among the identified joints that have entered the bins within the shelf unit, and determining an action of the identified user based at least in part on the associated object with the one or more joints and results from the deep learning identification on the bounding box.