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:
Feb. 21, 2023

Filed:

May. 06, 2020
Applicant:

The Joan and Irwin Jacobs Technion—cornell Institute, New York, NY (US);

Inventor:

Ali Khaloo, New York, NY (US);

Assignees:

THE JOAN AND IRWIN JACOBS, New York, NY (US);

TECHNION-CORNELL INSTITUTE, New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06T 2210/56 (2013.01); G06T 2219/004 (2013.01); G06T 2219/2012 (2013.01);
Abstract

Techniques for context-aware identification of anomalies in civil infrastructure. A method includes applying an anomaly identification model to features extracted from visual content showing civil infrastructure in order to determine at least one anomalous portion shown in the visual multimedia content, a type of each anomalous portion, and a quantification of each anomalous portion; wherein the anomaly identification model is selected based on a type of material of the civil infrastructure; and generating a semantically labeled three-dimensional (3D) model based on the at least one anomalous portion and the type of each anomalous portion, wherein the semantically labeled 3D model includes anomalous points; wherein each anomalous point represents one of the at least one anomalous portion; wherein the anomalous points collectively define a pattern of the at least one anomalous portion; wherein each anomalous point is visually distinguished to indicate the quantification of the respective anomalous portion.


Find Patent Forward Citations

Quick Actions:

Khaloo, Ali. (2023). Systems and methods for detection of anomalies in civil infrastructure using context aware semantic computer vision techniques (U.S. Patent No. 11587299). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11587299

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Loading…