公开(公告)号：US20250104550A1

公开(公告)日：2025-03-27

申请号：US18371033

申请日：2023-09-21

Applicant: ROKU, INC.

Inventor： SUNIL RAMESH ,  Michael Cutter ,  Robert C. Curtis ,  Patrick A. Brouillette ,  Gregory M. Garner

IPC: G08B25/00 ,  G06F40/20 ,  G16Y40/10

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof for providing a monitoring and alerting service for a premises comprising a set of Internet of Things (IoT) devices. An example embodiment operates by analyzing one or more of user input provided to the monitoring and alerting service or sensor data collected from at least the set of IoT devices, defining, based at least on the analyzing, an event whose occurrence can be monitored for using at least one or more IoT devices in the set of IoT devices, monitoring for an occurrence of the event using at least the one or more devices in the set of IoT devices, detecting the occurrence of the event based on the monitoring and, in response to detecting the occurrence of the event, generating an alert.

公开(公告)号：US20250069360A1

公开(公告)日：2025-02-27

申请号：US18455758

申请日：2023-08-25

Applicant: ROKU, INC.

Inventor： Gregory GARNER ,  SOREN RIISE ,  PATRICK BROUILLETTE ,  SUNIL RAMESH ,  DAVID STERN ,  CARL SASSENRATH ,  MICHAEL CUTTER

IPC: G06V10/44 ,  G06V10/764 ,  G06V20/52 ,  G06V30/262 ,  H04N23/63

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for loading one or more machine learning models into a camera system to detect features of a video stream. An example embodiment operates by downloading a machine learning model from an application exchange service. The machine learning model may be pre-trained prior to loading and/or be trained to identify particular features. The camera system may install and/or retrain loaded machine learning models using captured images and/or user inputs. The camera system may also detect an unknown feature and obtain a classification label from an external system. Upon detecting a feature and/or an unknown feature, the camera system may transmit a camera detection notification to a user device and/or allow the user device to view the video stream.

公开(公告)号：US20250111768A1

公开(公告)日：2025-04-03

申请号：US18374463

申请日：2023-09-28

Applicant: ROKU, INC.

Inventor： SUNIL RAMESH ,  MICHAEL CUTTER ,  ROBERT C. CURTIS ,  PATRICK A. BROUILLETTE ,  GREGORY M. GARNER

IPC: G08B25/01 ,  G16Y40/10 ,  G16Y40/35

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof for providing a multi-alert-level monitoring and alerting service for a premises comprising a set of Internet of Things (IoT) devices. An example embodiment operates by detecting that a first event has occurred based at least on first sensor data collected from a first subset of the set of IoT devices, modifying an alert level associated with the premises from a first level to a second level in response to at least the detecting, and, in response to the modification of the alert level, modifying a set of conditions used to detect whether a second event has occurred based at least on second sensor data collected from a second subset of the set of IoT devices and/or modifying a manner in which the second sensor data is generated by or collected from the second subset.

公开(公告)号：US20240404285A1

公开(公告)日：2024-12-05

申请号：US18205802

申请日：2023-06-05

Applicant: ROKU, INC.

Inventor： MICHAEL CUTTER ,  ROHIT NYAYAPATI ,  SUNIL RAMESH

IPC: G06V20/40 ,  G06V10/74 ,  G06V10/75 ,  G06V20/62

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for cue point discovery for content. For example, system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof are provided for using unsupervised machine learning to automatically classify cue points for episodic content. The cue points can be associates with an opening credits section, an end credits section, a recap section, or a behind-the-scenes section.