公开(公告)号：US20240314190A1

公开(公告)日：2024-09-19

申请号：US18577109

申请日：2022-07-20

Applicant: AMGEN INC.

Inventor： Tyler Bellenfant ,  Jeremy S. Conner ,  Sarah Whetstone ,  Thomas Clark Pearson

IPC: H04L65/80 ,  H04N21/236 ,  H04N21/472 ,  H04N23/62 ,  H04N23/661

CPC classification number: H04L65/80 ,  H04N21/236 ,  H04N21/472 ,  H04N23/62 ,  H04N23/661

Abstract: A telepresence system may include at least one telepresence device including a digital camera having camera control inputs and a video feed output. The system may also include at least one remote device having a web browser. The camera control inputs may be communicated from the remote device to the at least one telepresence device via an embedded webserver. The video feed output may be communicated to the remote device via a video server configured to transmit real-time video data from the digital camera, over a secure socket connection, to the remote device.

公开(公告)号：US20250104729A1

公开(公告)日：2025-03-27

申请号：US18846798

申请日：2023-04-25

Applicant: AMGEN INC.

Inventor： Grant Hosinski ,  Tyler Bellenfant ,  Thomas Clark Pearson

IPC: G10L25/51 ,  G05B23/02 ,  G06N3/0464 ,  G06N3/09

Abstract: Systems and methods of using machine learning for identifying glass breakage events can include (a) accessing or obtaining the machine learning mode, (b) obtaining audio data, (c) determining, by processing the audio data using the machine learning mode, whether a glass breakage event has occurred, and (d) when determined that the glass breakage event has occurred, indicating the glass breakage event has occurred. Methods and instructions for training a machine learning model for identifying a glass breakage event can include (a) obtaining training audio data, (b) classifying the training audio data into a plurality of subsets, and (c) generating the machine learning model for identifying glass breakage events using the classified subsets.