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:
Aug. 25, 2026

Filed:

Jun. 29, 2022
Applicant:

Bentley Systems, Incorporated, Exton, PA (US);

Inventors:

Marc-André Gardner, Quebec City, CA;

Israël Akobi, Quebec City, CA;

Cheikhou BA, Quebec City, CA;

Rania Benrhaiem, Quebec City, CA;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/25 (2022.01); G06V 20/58 (2022.01); G06V 20/62 (2022.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/582 (2022.01); G06V 10/25 (2022.01); G06V 20/63 (2022.01); G06V 30/10 (2022.01);
Abstract

In example embodiments, a software application may implement techniques for detection and identification of physical objects such as signs in images. The techniques may a) decouple detection of the physical objects (e.g., signs) and their meta-classes from identification of information about the physical objects such as their specific technical name, b) use weakly supervised training to train a ML detection model to detect the physical objects (e.g., signs) and their meta-classes using image-wise meta-class labeled training images and/or c) use a combination of textual clues from OCR and visual clues from keypoint matching of image descriptors to identify the information (e.g., specific technical name) of each physical objects (e.g., sign) once it has been assigned a meta-class.


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