公开(公告)号：US11680712B2

公开(公告)日：2023-06-20

申请号：US17201953

申请日：2021-03-15

Applicant: June Life, Inc.

Inventor： Nikhil Bhogal ,  Nishit Kumar ,  Robert Cottrell ,  Jithendra Paruchuri ,  Ryan Perry ,  Matthew Van Horn ,  Christopher Russell Clark ,  Eugenia Kuo

IPC: F24C7/08 ,  G06V10/764 ,  G06V10/82 ,  G06V10/98 ,  G06V20/68

CPC classification number: F24C7/085 ,  G06V10/764 ,  G06V10/82 ,  G06V10/993 ,  G06V20/68

Abstract: The method for dirty camera detection including: detecting a first predetermined state change event; sampling a set of cavity measurements; optionally determining a set of features of the set of cavity measurements; determining a class label based on the cavity measurements; optionally verifying the classification; and facilitating use of the appliance based on the classification.

公开(公告)号：US20220015572A1

公开(公告)日：2022-01-20

申请号：US17376535

申请日：2021-07-15

Applicant: June Life, Inc.

Inventor： Robert Cottrell ,  Jithendra Paruchuri ,  Nikhil Bhogal ,  Nishit Kumar ,  Wiley Wang

IPC: A47J36/32 ,  G06K9/62 ,  G06K9/00 ,  H04N13/204 ,  G06T7/20 ,  F24C15/04 ,  A47J37/06 ,  A23L5/10 ,  G05B13/02

Abstract: A method for foodstuff identification can include: detecting a trigger event; sampling a measurement set; optionally determining candidate measurements for subsequent analysis based on the measurement set; optionally determining a set of food parameter values from the measurements; optionally selecting a food parameter value for use; determining a cooking instruction based on the food parameter value; automatically operating the appliance based on the cooking instructions; optionally determining a foodstuff trajectory relative to the cook cavity; optionally training one or more modules; and/or any other suitable elements.

公开(公告)号：US20210303929A1

公开(公告)日：2021-09-30

申请号：US17216036

申请日：2021-03-29

Applicant: June Life, Inc.

Inventor： Nikhil Bhogal ,  Nishit Kumar ,  Jithendra Paruchuri

IPC: G06K9/62 ,  G06K9/00

Abstract: The method for classifying ambiguous objects, including: determining initial labels for an image set; determining N training sets from the initially-labelled image set; training M annotation models using the N training sets; determining secondary labels for each image of the image set using the M trained annotation models; and determining final labels for the image set based on the secondary labels. The method can optionally include training a runtime model using images from the image set labeled with the final labels; and optionally using the runtime model.

公开(公告)号：US20230272919A1

公开(公告)日：2023-08-31

申请号：US18144010

申请日：2023-05-05

Applicant: June Life, Inc.

Inventor： Nikhil Bhogal ,  Nishit Kumar ,  Robert Cottrell ,  Jithendra Paruchuri ,  Ryan Perry ,  Matthew Van Horn ,  Christopher Russell Clark ,  Eugenia Kuo

IPC: F24C7/08 ,  G06V10/764 ,  G06V10/82 ,  G06V10/98

CPC classification number: F24C7/085 ,  G06V10/764 ,  G06V10/82 ,  G06V10/993 ,  G06V20/68

Abstract: The method for dirty camera detection including: detecting a first predetermined state change event; sampling a set of cavity measurements; optionally determining a set of features of the set of cavity measurements; determining a class label based on the cavity measurements; optionally verifying the classification; and facilitating use of the appliance based on the classification.

公开(公告)号：US11748669B2

公开(公告)日：2023-09-05

申请号：US18074187

申请日：2022-12-02

Applicant: June Life, Inc.

Inventor： Nikhil Bhogal ,  Nishit Kumar ,  Jithendra Paruchuri

IPC: G06K9/00 ,  G06N20/20 ,  G06F18/214 ,  G06F18/24 ,  G06F18/21 ,  G06V10/774 ,  G06V10/776 ,  G06V20/00 ,  G06N3/08 ,  G06V20/68

CPC classification number: G06N20/20 ,  G06F18/2148 ,  G06F18/2163 ,  G06F18/24 ,  G06V10/774 ,  G06V10/776 ,  G06V20/00 ,  G06N3/08 ,  G06V20/68

Abstract: The method for classifying ambiguous objects, including: determining initial labels for an image set; determining N training sets from the initially-labelled image set; training M annotation models using the N training sets; determining secondary labels for each image of the image set using the M trained annotation models; and determining final labels for the image set based on the secondary labels. The method can optionally include training a runtime model using images from the image set labeled with the final labels; and optionally using the runtime model.

公开(公告)号：US20230091769A1

公开(公告)日：2023-03-23

申请号：US18074187

申请日：2022-12-02

Applicant: June Life, Inc.

Inventor： Nikhil Bhogal ,  Nishit Kumar ,  Jithendra Paruchuri

IPC: G06K9/62 ,  G06V20/00

Abstract: The method for classifying ambiguous objects, including: determining initial labels for an image set; determining N training sets from the initially-labelled image set; training M annotation models using the N training sets; determining secondary labels for each image of the image set using the M trained annotation models; and determining final labels for the image set based on the secondary labels. The method can optionally include training a runtime model using images from the image set labeled with the final labels; and optionally using the runtime model.

公开(公告)号：US11593717B2

公开(公告)日：2023-02-28

申请号：US17216036

申请日：2021-03-29

Applicant: June Life, Inc.

Inventor： Nikhil Bhogal ,  Nishit Kumar ,  Jithendra Paruchuri

IPC: G06N20/20 ,  G06F18/214 ,  G06F18/24 ,  G06F18/21 ,  G06V10/774 ,  G06V10/776 ,  G06N3/08 ,  G06V20/68

Abstract: The method for classifying ambiguous objects, including: determining initial labels for an image set; determining N training sets from the initially-labelled image set; training M annotation models using the N training sets; determining secondary labels for each image of the image set using the M trained annotation models; and determining final labels for the image set based on the secondary labels. The method can optionally include training a runtime model using images from the image set labeled with the final labels; and optionally using the runtime model.

公开(公告)号：US20210285653A1

公开(公告)日：2021-09-16

申请号：US17201953

申请日：2021-03-15

Applicant: June Life, Inc.

Inventor： Nikhil Bhogal ,  Nishit Kumar ,  Robert Cottrell ,  Jithendra Paruchuri ,  Ryan Perry ,  Matthew Van Horn ,  Christopher Russell Clark ,  Eugenia Kuo

IPC: F24C7/08

Abstract: The method for dirty camera detection including: detecting a first predetermined state change event; sampling a set of cavity measurements; optionally determining a set of features of the set of cavity measurements; determining a class label based on the cavity measurements; optionally verifying the classification; and facilitating use of the appliance based on the classification.