Jeffrey Scott Sperling

US Patent:

20230099239, Mar 30, 2023

Filed:

Sep 24, 2021

Appl. No.:

17/484364

Inventors:

- Mayfield Heights OH, US
John J. Hagerbaumer - Mequon WI, US
Troy W. Mahr - Pleasant Prairie WI, US
Jeffrey S. Sperling - Downingtown PA, US
Thomas K. Jacobsen - Wake Forest NC, US
Giancarlo Scaturchio - Pisa, IT

International Classification:

G05B 13/02
G06T 7/00

Abstract:

Various embodiments of the present technology generally relate to integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises a screen capture component configured to capture images of a human-machine interface in an industrial automation environment, wherein the one or more images include at least one visual depiction of data collected from an industrial device. The system further comprises an input component configured to provide the images to a machine learning model configured to analyze an operating condition of the industrial device. The system also comprises a determination component configured to, based on an output of the machine learning model, identify a current operating condition of the industrial device.