Invention Grant
- Patent Title: Device manufacturing cycle time reduction using machine learning techniques
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Application No.: US16669667Application Date: 2019-10-31
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Publication No.: US11216911B2Publication Date: 2022-01-04
- Inventor: Hung T. Dinh , Rajesh Krishnan , Vijaya P. Sekhar , Sabu K. Syed , Geetha Venkatesan , Sethukarasi Sockalingam , Pradeepta Ranjan Choudhury , Abhijit Mishra , Kannappan Ramu , Jatin Kamlesh Thakkar
- Applicant: Dell Products L.P.
- Applicant Address: US TX Round Rock
- Assignee: Dell Products L.P.
- Current Assignee: Dell Products L.P.
- Current Assignee Address: US TX Round Rock
- Agency: Ryan, Mason & Lewis, LLP
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06N3/08 ; G06K9/00 ; G06T7/13

Abstract:
Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.
Public/Granted literature
- US20210133930A1 Device Manufacturing Cycle Time Reduction Using Machine Learning Techniques Public/Granted day:2021-05-06
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