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:
Nov. 14, 2023

Filed:

Aug. 02, 2021
Applicant:

Hcl Technologies Limited, New Delhi, IN;

Inventors:

Dhiraj Suvarna, Bengaluru, IN;

Christine Zuzart, Pune, IN;

Assignee:

HCL Technologies Limited, New Delhi, IN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 13/02 (2006.01); G06N 3/045 (2023.01); G05B 19/4097 (2006.01);
U.S. Cl.
CPC ...
G05B 19/4097 (2013.01); G05B 13/027 (2013.01); G06N 3/045 (2023.01); G05B 2219/32335 (2013.01); G05B 2219/35134 (2013.01);
Abstract

The invention relates to method and system for automatic identification of a primary manufacturing process (PMP) from a three-dimensional (3D) model of a product. The method includes generating a plurality of images corresponding to a plurality of views of the product based on the 3D model of the product; determining a plurality of confidence score vectors, based on the plurality of images, using a first Artificial Neural Network (ANN) model; determining an aggregate confidence score vector, representing a pre-defined PMP category with maximum frequency, based on the plurality of confidence score vectors; extracting a set of manufacturing parameters associated with the product, based on the 3D model of the product; and identifying the PMP based on the aggregate confidence score vector and the set of manufacturing parameters, using a second ANN model.


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