- Patent Title: Defect detection for multi-function devices using machine learning
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Application No.: US17129791Application Date: 2020-12-21
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Publication No.: US11240385B1Publication Date: 2022-02-01
- Inventor: Eliud Robles Flores , Paul Roberts Conlon , David C. Craig , Lee C. Moore
- Applicant: Xerox Corporation
- Applicant Address: US CT Norwalk
- Assignee: Xerox Corporation
- Current Assignee: Xerox Corporation
- Current Assignee Address: US CT Norwalk
- Main IPC: H04N1/00
- IPC: H04N1/00 ; H04N1/19

Abstract:
A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes executing a defect learning routine to identify defects, cataloging the defects based on a job function, a type of paper, and a machine state, receiving a job request, determining a known defect that has been catalogued based on the job function, the type of paper, and the machine state, and presenting a visualization of the known defect on a display of a user interface before executing the job request.
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