公开(公告)号：US12217474B2

公开(公告)日：2025-02-04

申请号：US18485266

申请日：2023-10-11

Applicant: Apple Inc.

Inventor： Hessam Bagherinezhad ,  Carlo Eduardo Cabanero Del Mundo ,  Anish Jnyaneshwar Prabhu ,  Peter Zatloukal ,  Lawrence Frederick Arnstein

IPC: G06V10/44 ,  G06F18/214 ,  G06N20/00 ,  G06T7/00 ,  G06T7/20 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52 ,  G06V40/20 ,  G06V20/40

Abstract: In one embodiment, a method includes receiving an input video comprising a plurality of image frames including an object of interest. Based on the plurality of image frames, a motion associated with the object of interest is determined, and the plurality of image frames are classified using a machine-learning model to identify one of the plurality of image frames that indicates a moment of perception of the determined motion.

公开(公告)号：US11893486B2

公开(公告)日：2024-02-06

申请号：US17353679

申请日：2021-06-21

Applicant: Apple Inc.

Inventor： Peter Zatloukal

IPC: G06F21/16 ,  G06N3/08 ,  G06N20/00 ,  G06N5/04 ,  G06F18/24 ,  G06N3/045 ,  G06V10/764 ,  G06V10/776

CPC classification number: G06N3/08 ,  G06F18/24 ,  G06F21/16 ,  G06N3/045 ,  G06N5/04 ,  G06N20/00 ,  G06V10/764 ,  G06V10/776

Abstract: In one embodiment, a method includes by a computing device, detecting a sensory input, identifying, using a machine-learning model, one or more attributes associated with the machine-learning model, wherein the attributes are identified based on the sensory input in accordance with the model's training, and presenting the attributes as output. The identifying may be performed at least in part by an inference engine that interacts with the model. The sensory input may include an input image received from a camera, and the model may identify the attributes based on an input object in the input image in accordance with the model's training. The model may include a convolutional neural network trained using training data that associates training sensory input with the attributes. The training sensory input may include a training image of a training object, and the input object may be classified in the same class as the training object.

公开(公告)号：US11657124B2

公开(公告)日：2023-05-23

申请号：US16215540

申请日：2018-12-10

Applicant: Apple Inc.

Inventor： Peter Zatloukal ,  Matthew Weaver ,  Alexander Kirchhoff ,  Dmitry Belenko ,  Ali Farhadi ,  Mohammad Rastegari ,  Andrew Luke Chronister ,  Keith Patrick Wyss ,  Chenfan Sun

IPC: G06F21/10 ,  G06N3/08 ,  G06N3/10 ,  H04L9/30 ,  H04L9/08 ,  G06F21/12

CPC classification number: G06F21/105 ,  G06F21/12 ,  G06N3/08 ,  G06N3/10 ,  H04L9/0891 ,  H04L9/30 ,  G06F2221/0755

Abstract: In one embodiment, a method includes receiving a user request from a client device associated with a user, accessing an instructional file comprising one or more binary inference engines and one or more encrypted model data corresponding to the one or more binary inference engines, respectively, selecting a binary inference engine from the one or more binary inference engines in the accessed instructional file based on the user request, sending a validation request for a permission to execute the binary inference engine to a licensing server, receiving the permission from the licensing server, decrypting the encrypted model data corresponding to the binary inference engine by a decryption key, executing the binary inference engine based on the user request and the decrypted model data, and sending one or more execution results responsive to the execution of the binary inference engine to the client device.