Ryan L Perry

US Patent:

20230084639, Mar 16, 2023

Filed:

Sep 8, 2022

Appl. No.:

17/940445

Inventors:

- Dover DE, US
Pradeep Kanth - Chennai, IN
Amitabh Mukherjee - Kennett Square PA, US
K.T.N. Varma - Andhra Pradesh, IN
K. Shanmugam Sundaram - Chennai, IN
Anish Mukherjee - Jharkhand, IN
Soundar Rajan - Chennai, IN
S. Naga Reddy - Bangalore, IN
Ryan Perry - Midland MI, US
Akhil Menon - Kochi Kerala, IN
Raj Ramesh - Mississauga, CA

Assignee:

Vectra Automation, Inc. - Dover DE

International Classification:

G06F 30/12
G06N 5/02

Abstract:

The present invention is a system and method for 3D engineering drawing extrapolation and automation incorporating Machine Learning (ML). The instant innovation receives a 3D computer model of a part to be manufactured, and automatically breaks the model into labelled surfaces capable of being attributed, assigned and represented by 2D drawings. One or more sub-processes receives data defining attributes of the 2D drawings and performs calculations to pre-determine drill-hole locations on a machine-ready part. The system then determines if there are unintended gaps, interferences, or other irregularities resident thereupon. The system creates a list of any irregularities and returns a punch list to a human user for correction. The system utilizes Amazon Web Services (AWS) to both perform data extracting and flattening of the 3D model and to select optimally-sized machine stock and optimize its orientation in relation to the manufacturing machine head.