公开(公告)号：US11832962B2

公开(公告)日：2023-12-05

申请号：US17883635

申请日：2022-08-09

Applicant: INHANDPLUS INC.

Inventor： Hwiwon Lee ,  Sang Pil Yoo

IPC: G06K9/00 ,  A61B5/00 ,  G06T7/20 ,  H04W76/10 ,  G08C17/02 ,  G06T7/246 ,  G16H50/20 ,  G16H20/10 ,  G06N20/00 ,  G06V20/40 ,  G06V10/94 ,  G06V40/20 ,  H04N5/765 ,  G16H40/63 ,  G06F18/214

CPC classification number: A61B5/4833 ,  G06F18/2148 ,  G06N20/00 ,  G06T7/20 ,  G06T7/251 ,  G06V10/95 ,  G06V20/41 ,  G06V40/20 ,  G08C17/02 ,  G16H20/10 ,  G16H40/63 ,  G16H50/20 ,  H04N5/765 ,  H04W76/10 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/30196 ,  G06V2201/03

Abstract: Provided is a server for determining whether medication has been administered, the server including: a transceiver receiving a video recorded by a wearable device; a memory storing a detection model and a confirmation model, wherein the detection model is trained to output whether each of preset targets appears in an image, and the confirmation model is trained to output whether medication has been administered, wherein the preset targets include an object related to a medicine or a medicine container and a posture related to medication administration; and one or more processors configured to detect the preset targets by inputting image frames of the video to the detection model and to determine whether medication has been administered by inputting confirmation model input data to the confirmation model, the confirmation model input data generated based on a detection result of the detection model.

公开(公告)号：US11457862B2

公开(公告)日：2022-10-04

申请号：US17356528

申请日：2021-06-24

Applicant: INHANDPLUS INC.

Inventor： Hwiwon Lee ,  Sang Pil Yoo

IPC: G06K9/00 ,  A61B5/00 ,  G06T7/20 ,  H04W76/10 ,  G08C17/02 ,  G06T7/246 ,  G16H50/20 ,  G16H20/10 ,  G06N20/00 ,  G06V20/40 ,  G06V10/94 ,  G06V40/20 ,  G06K9/62 ,  H04N5/765

Abstract: Provided is a server for determining whether medication has been administered, the server including: a transceiver receiving a video recorded by a wearable device; a memory storing a detection model and a confirmation model, wherein the detection model is trained to output whether each of preset targets appears in an image, and the confirmation model is trained to output whether medication has been administered, wherein the preset targets include an object related to a medicine or a medicine container and a posture related to medication administration; and one or more processors configured to detect the preset targets by inputting image frames of the video to the detection model and to determine whether medication has been administered by inputting confirmation model input data to the confirmation model, the confirmation model input data generated based on a detection result of the detection model.