公开(公告)号：US11836968B1

公开(公告)日：2023-12-05

申请号：US18237866

申请日：2023-08-24

Applicant: SAS INSTITUTE INC.

Inventor： Robert Winston Blanchard ,  Neela Niranjani Vengateshwaran

IPC: G06V10/764 ,  G06T3/40 ,  G06T7/70 ,  G06T7/11

CPC classification number: G06V10/764 ,  G06T3/40 ,  G06T7/11 ,  G06T7/70 ,  G06V2201/07

Abstract: A system, method, and computer-program product includes detecting, via a localization machine learning model, a target object within a scene based on downsampled image data of the scene, identifying a likely position of the target object within original image data of the scene, extracting, from the original image data of the scene, a target sub-image containing the target object, classifying, via an object classification machine learning model, the target object to a probable object class of a plurality of distinct object classes, routing the target image resolution of the target sub-image to a target object-condition machine learning classification model of a plurality of distinct object-condition machine learning classification models, classifying, via the target object-condition machine learning classification model, the target object to a probable object-condition class, and displaying, via a graphical user interface, a representation of the target object in association with the probable object-condition class.

公开(公告)号：US20240193917A1

公开(公告)日：2024-06-13

申请号：US18528685

申请日：2023-12-04

Applicant: SAS INSTITUTE INC.

Inventor： Robert Winston Blanchard ,  Neela Niranjani Vengateshwaran

IPC: G06V10/764 ,  G06V10/94

CPC classification number: G06V10/764 ,  G06V10/94

Abstract: A system, method, and computer-program product includes detecting, via a localization machine learning model, a target object within target image data of a scene, classifying, via an object classification machine learning model, the target object to a probable object class of a plurality of distinct object classes, routing, via the one or more processors, the target image data of the scene to a target object-condition machine learning classification model of a plurality of distinct object-condition machine learning classification models based on a mapping between the plurality of distinct object classes and the plurality of distinct object-condition machine learning classification models, classifying, via the target object-condition machine learning classification model, the target object to a probable object-condition class of a plurality of distinct object-condition classes, and displaying, via a graphical user interface, a representation of the target object in association with the probable object-condition class.

公开(公告)号：US12002256B1

公开(公告)日：2024-06-04

申请号：US18528685

申请日：2023-12-04

Applicant: SAS INSTITUTE INC.

Inventor： Robert Winston Blanchard ,  Neela Niranjani Vengateshwaran

IPC: G06V10/764 ,  G06V10/94

CPC classification number: G06V10/764 ,  G06V10/94

Abstract: A system, method, and computer-program product includes detecting, via a localization machine learning model, a target object within target image data of a scene, classifying, via an object classification machine learning model, the target object to a probable object class of a plurality of distinct object classes, routing, via the one or more processors, the target image data of the scene to a target object-condition machine learning classification model of a plurality of distinct object-condition machine learning classification models based on a mapping between the plurality of distinct object classes and the plurality of distinct object-condition machine learning classification models, classifying, via the target object-condition machine learning classification model, the target object to a probable object-condition class of a plurality of distinct object-condition classes, and displaying, via a graphical user interface, a representation of the target object in association with the probable object-condition class.