AI Apparatus for Machine Operator Performance Feedback Correlation
Summary
The USPTO published patent application US20260099769A1 by inventors Bradford Everman and Brian Bradke, assigned to GMECI LLC, covering an AI apparatus for machine operator feedback correlation. The apparatus includes a processor and memory configured to receive performance data from sensing devices, classify performance data into categories, calculate performance determinations, and generate feedback correlations through a machine learning model. The system employs neural network architectures (CPC: G06N 20/00, G06N 3/0442) for correlating operator feedback with performance metrics.
What changed
The USPTO published a patent application for an AI apparatus designed to correlate machine operator performance data with feedback. The system uses machine learning models to receive operator performance data through sensing devices, classify performance into categories, calculate performance determinations, and generate feedback correlations displayed to users.
For manufacturers and technology companies, this patent represents potential prior art in AI-based operator performance monitoring systems. Parties developing similar machine learning applications for industrial or operational performance correlation should evaluate whether their systems may fall within the scope of these pending claims. Patent applications do not create immediate compliance obligations but may influence future product development and IP strategy.
What to do next
- Monitor for patent prosecution updates
- Review pending claims for potential licensing implications
Archived snapshot
Apr 13, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
APPARATUS FOR MACHINE OPERATORMACHINE OPERATOR FEEDBACK CORRELATION
Application US20260099769A1 Kind: A1 Apr 09, 2026
Assignee
GMECI, LLC
Inventors
Bradford Everman, Brian Bradke
Abstract
In an aspect, an apparatus for machine operator feedback correlation is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. A memory contains instructions configuring at least a processor to receive, through a sensing device, performance data of at least a machine operator. At least a processor is configured to classify performance data to a performance category through a performance classifier. At least a processor is configured to calculate a performance determination. At least a processor is configured to generate a feedback correlation through a machine operator feedback correlation machine learning model. At least a processor is configured to provide a feedback correlation to a user through a display device.
CPC Classifications
G06N 20/00 G06N 3/0442 G06N 3/08 G06N 5/022
Filing Date
2025-06-26
Application No.
19250612
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