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.

Patent No.:

US 10970796 B1

PDF
Full Text
Expired
Date of Patent:
Apr. 06, 2021

Filed:

Feb. 15, 2019
Applicants:

Michael Sasson, Petah Tikva, IL;

Ron Zass, Kiryat Tivon, IL;

Shalom Bellaish, Tel Mond, IL;

Moshe Nachman, Tel-Aviv, IL;

Inventors:

Michael Sasson, Petah Tikva, IL;

Ron Zass, Kiryat Tivon, IL;

Shalom Bellaish, Tel Mond, IL;

Moshe Nachman, Tel-Aviv, IL;

Assignee:

CONSTRU LTD, Tel Aviv, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06F 16/23 (2019.01); G06F 16/583 (2019.01); G06Q 50/08 (2012.01); G06N 20/00 (2019.01); G06K 9/00 (2006.01); G06T 7/70 (2017.01); G06K 9/78 (2006.01); G06Q 10/06 (2012.01); G06Q 40/00 (2012.01); G06Q 40/02 (2012.01); G06Q 40/08 (2012.01);
U.S. Cl.
CPC ...
G06Q 50/08 (2013.01); G06F 16/2379 (2019.01); G06F 16/583 (2019.01); G06K 9/00624 (2013.01); G06K 9/00637 (2013.01); G06K 9/00671 (2013.01); G06K 9/623 (2013.01); G06K 9/6215 (2013.01); G06K 9/6256 (2013.01); G06K 9/78 (2013.01); G06N 20/00 (2019.01); G06Q 10/06311 (2013.01); G06Q 40/025 (2013.01); G06Q 40/08 (2013.01); G06Q 40/12 (2013.12); G06T 7/001 (2013.01); G06T 7/0004 (2013.01); G06T 7/70 (2017.01); G06T 2200/24 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30132 (2013.01); G06T 2207/30242 (2013.01);
Abstract

Systems and methods for hybrid processing of construction site images are provided. For example, image data captured from a construction site using at least one image sensor may be obtained. The image data may be analyzed to attempt to recognize an object depicted in the image data. In response to a failure to successfully recognize the object, at least part of the image data may be presented to a user, and a feedback related to the object may be received from the user. For example, the attempt to recognize an object may be based on a construction plan associated with the construction site, and the failure to successfully recognize the object may be identified based on a mismatch between the suggested object type from the attempt to recognize the object and types of objects selected from the construction plan based on the location of the object in the image data.


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