公开(公告)号：US20230052351A1

公开(公告)日：2023-02-16

申请号：US17978712

申请日：2022-11-01

Applicant: Snap Inc.

Inventor： Anup Prabhakar Dhalwani ,  Walton Lin ,  Andrew Lin ,  Amer Shahnawaz ,  Leonid Gorkin ,  Amber Taylor ,  Lillian Zheng ,  Eric Wood

IPC: G06N7/00 ,  G06V20/00 ,  G06N20/00 ,  G06V10/40 ,  G06K9/62 ,  G01W1/02

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

公开(公告)号：US20200342341A1

公开(公告)日：2020-10-29

申请号：US16928959

申请日：2020-07-14

Applicant: Snap Inc.

Inventor： Anup Prabhakar Dhalwani ,  Walton Lin ,  Andrew Lin ,  Amer Shahnawaz ,  Leonid Gorkin ,  Amber Taylor ,  Lillian Zheng ,  Eric Wood

IPC: G06N7/00 ,  G06K9/62 ,  G01W1/02 ,  G06K9/00 ,  G06K9/46 ,  G06N20/00

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

公开(公告)号：US11574225B2

公开(公告)日：2023-02-07

申请号：US16928959

申请日：2020-07-14

Applicant: Snap Inc.

Inventor： Anup Prabhakar Dhalwani ,  Walton Lin ,  Andrew Lin ,  Amer Shahnawaz ,  Leonid Gorkin ,  Amber Taylor ,  Lillian Zheng ,  Eric Wood

IPC: G06K9/62 ,  G06V10/40 ,  G06V20/00 ,  G06N7/00 ,  G01W1/02 ,  G06N20/00

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

公开(公告)号：US11789179B2

公开(公告)日：2023-10-17

申请号：US17978712

申请日：2022-11-01

Applicant: Snap Inc.

Inventor： Anup Prabhakar Dhalwani ,  Walton Lin ,  Andrew Lin ,  Amer Shahnawaz ,  Leonid Gorkin ,  Amber Taylor ,  Lillian Zheng ,  Eric Wood

IPC: G06V20/00 ,  G06F18/214 ,  G06V10/774 ,  G06V10/40 ,  G01W1/02 ,  G06N20/00 ,  G06N7/01

CPC classification number: G01W1/02 ,  G06F18/2148 ,  G06N7/01 ,  G06N20/00 ,  G06V10/40 ,  G06V10/7747 ,  G06V20/35 ,  G06V20/36 ,  G06V20/38

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

公开(公告)号：US10769542B1

公开(公告)日：2020-09-08

申请号：US15989967

申请日：2018-05-25

Applicant: Snap Inc.

Inventor： Anup Prabhakar Dhalwani ,  Walton Lin ,  Andrew Lin ,  Amer Shahnawaz ,  Leonid Gorkin ,  Amber Taylor ,  Lillian Zheng ,  Eric Wood

IPC: G06N7/00 ,  G06K9/46 ,  G01W1/02 ,  G06K9/00 ,  G06K9/62 ,  G06N20/00

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.