公开(公告)号：US20220187923A1

公开(公告)日：2022-06-16

申请号：US17550213

申请日：2021-12-14

Applicant: THE BOEING COMPANY

Inventor： Amir AFRASIABI

IPC: G06F3/01 ,  G06V40/16

Abstract: A human machine interface (HMI), a method of interacting with an HMI and a corresponding computer program product facilitate user interaction with an HMI. In a method, a face of a person attempting to interact with the HMI is detected and a gesture made by the person relative to the HMI is also detected. The method analyzes information regarding the face of the person that has been detected to determine whether the person is wearing personal protection equipment. In an instance in which the person is determined to not be wearing personal protection equipment, the method suspends a response to the gesture made by the person. However, in an instance in which the person is determined to be wearing personal protection equipment, the method analyzes the gesture made by the person relative to the HMI and converts the gesture to a corresponding command to the system associated with the HMI.

公开(公告)号：US20230334671A1

公开(公告)日：2023-10-19

申请号：US17722060

申请日：2022-04-15

Applicant: THE BOEING COMPANY

Inventor： Amir AFRASIABI ,  Nick S. EVANS

IPC: G06T7/11 ,  G06T7/00 ,  G05B19/418

CPC classification number: G06T7/11 ,  G06T7/0004 ,  G05B19/41895 ,  G06T2210/12

Abstract: Certain aspects of the present disclosure provide techniques for autonomous image acquisition. This includes determining a plurality of two-dimensional image perspectives for a plurality of image capture devices, and comparing the plurality of two-dimensional image perspectives with a generated two-dimensional representation of a target object, where the two-dimensional representation is generated based on a three-dimensional model of the target object. This further includes automatically moving at least one of the plurality of image capture devices, based on the comparing, to increase a portion of the target object captured by the plurality of image capture devices.

公开(公告)号：US20240296225A1

公开(公告)日：2024-09-05

申请号：US18177707

申请日：2023-03-02

Applicant: THE BOEING COMPANY

Inventor： Amir AFRASIABI

IPC: G06F21/56 ,  G06V10/774 ,  G06V10/86

CPC classification number: G06F21/566 ,  G06V10/774 ,  G06V10/86 ,  G06F2221/034 ,  G06V2201/10

Abstract: Techniques for adversarial attack avoidance for machine learning (ML) are disclosed. These techniques include receiving one or more images at a trained ML model and receiving attack data at the ML model. The techniques further include predicting an object depicted in the one or more images using the ML model, based on the one or more images, metadata relating to the one or more images, and the attack data. The ML model uses the metadata to prevent the attack data from changing a result of the predicting.

公开(公告)号：US20220335679A1

公开(公告)日：2022-10-20

申请号：US17689156

申请日：2022-03-08

Applicant: THE BOEING COMPANY

Inventor： Amir AFRASIABI ,  Nick Shadbeth EVANS

IPC: G06T15/10 ,  G06T15/50 ,  G06N20/00 ,  G06K9/62

Abstract: A computing device, a method and a computer program product are provided to generate realistic synthetic image data that is utilized to train, test and/or deploy a computer vision model, such as to recognize an object from an image, to identify a visual anomaly in the object from an image of the object or the like. In the context of a method, a plurality of computer generated three-dimensional (3D) models of an object are generated. The method also generates realistic synthetic image data representative of each of the plurality of computer generated 3D models. The realistic synthetic image data is generated by utilizing a first machine learning model trained with pairs of computer generated synthetic image data and real image data of the object. The method further trains, tests or deploys the computer vision model to recognize the object from an image based upon the realistic synthetic image data.