The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 09, 2025

Filed:

May. 11, 2022
Applicant:

Verb Surgical Inc., Santa Clara, CA (US);

Inventors:

Yiming Xu, Sunnyvale, CA (US);

Bernhard Fuerst, Sunnyvale, CA (US);

Genevieve Foley, Santa Clara, CA (US);

Assignee:

Verb Surgical Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/762 (2022.01); G06T 7/20 (2017.01); G06T 7/50 (2017.01); G06T 7/60 (2017.01); G06T 7/70 (2017.01); G06T 7/80 (2017.01); G06V 20/52 (2022.01); G16H 40/20 (2018.01);
U.S. Cl.
CPC ...
G06V 10/762 (2022.01); G06T 7/20 (2013.01); G06T 7/50 (2017.01); G06T 7/60 (2013.01); G06T 7/70 (2017.01); G06T 7/80 (2017.01); G06V 20/52 (2022.01); G16H 40/20 (2018.01); G06T 2207/10028 (2013.01); G06T 2207/30232 (2013.01);
Abstract

Embodiments described herein provide systems and techniques for tracking workflow inside an operating room (OR) by identifying and tracking target objects, such as a patient bed or a surgical table in the OR. In one aspect, a process for identifying and tracking a target object in an OR begins by receiving a depth image among a sequence of depth images captured by a depth camera installed in the OR. The process then generates a three-dimensional (3D) point cloud based on the depth image. Next, the process identifies a set of potential target points in the 3D point cloud that potentially belongs to the target object based on one or more target object criteria. The process next extracts one or more object clusters of from the set of potential target points using a data-point clustering technique. The process subsequently identifies the target object from the extracted one or more object clusters.


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