公开(公告)号：US20220067688A1

公开(公告)日：2022-03-03

申请号：US17463450

申请日：2021-08-31

Applicant: LG ELECTRONICS INC.

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

IPC: G06Q20/20 ,  G06N20/00 ,  G06Q10/08

Abstract: Disclosed is a method for training a device using machine learning. The method includes obtaining a sensor weight data stream and an environment sensor data stream; determining a new weight value by multiplying a weight measurement among the obtained sensor weight data stream with an environment calibrating coefficient, wherein the environment calibrating coefficient is obtained from using an environment measurement and a pre-recorded calibration file; determining whether a detected change in weight from the device exceeds a predetermined value; and based on a determination that the detected change in weight exceeds the predetermined value, determining a difference in value using the determined new weight value, and identify an item based on inputting the determined difference in value into a machine learning model, wherein the machine learning model is trained to learn unit weights of a particular item to determine an identity of the particular item.

公开(公告)号：USD914736S1

公开(公告)日：2021-03-30

申请号：US35508708

申请日：2019-08-27

Applicant: LG ELECTRONICS INC.

Designer： Jaeyoung Jung ,  Rob Coburn ,  Helder Silva ,  Yeonjoo Joo ,  Xiaoli Hu ,  Kyungeun Hwang ,  Yongdeok Lee

公开(公告)号：US12039509B2

公开(公告)日：2024-07-16

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 ,  G01G19/414 ,  G06F18/25 ,  G06N3/02 ,  G06N20/00 ,  G06Q10/087 ,  G06T7/246 ,  G06T7/73 ,  G06V20/52 ,  G06V40/10 ,  G06V40/16 ,  G06V40/20 ,  H04N23/61

CPC classification number: G06Q20/208 ,  G01G19/4144 ,  G06F18/251 ,  G06N3/02 ,  G06N20/00 ,  G06Q10/087 ,  G06Q20/203 ,  G06T7/251 ,  G06T7/73 ,  G06V20/52 ,  G06V40/107 ,  G06V40/161 ,  G06V40/168 ,  G06V40/172 ,  G06V40/28 ,  H04N23/61 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201 ,  G06T2207/30232

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：USD931321S1

公开(公告)日：2021-09-21

申请号：US35508721

申请日：2019-08-27

Applicant: LG ELECTRONICS INC.

Designer： Purvee Jain ,  Rob Coburn ,  Helder Silva ,  Xiaoli Hu ,  Kyungeun Hwang ,  Yongdeok Lee

公开(公告)号：US11966901B2

公开(公告)日：2024-04-23

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: G06Q20/20 ,  G01G19/414 ,  G06F18/25 ,  G06N3/02 ,  G06N20/00 ,  G06Q10/087 ,  G06T7/246 ,  G06T7/73 ,  G06V20/52 ,  G06V40/10 ,  G06V40/16 ,  G06V40/20 ,  H04N23/61

CPC classification number: G06Q20/208 ,  G01G19/4144 ,  G06F18/251 ,  G06N3/02 ,  G06N20/00 ,  G06Q10/087 ,  G06Q20/203 ,  G06T7/251 ,  G06T7/73 ,  G06V20/52 ,  G06V40/107 ,  G06V40/161 ,  G06V40/168 ,  G06V40/172 ,  G06V40/28 ,  H04N23/61 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201 ,  G06T2207/30232

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.

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.