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US 2025/0062015 A1Published application
Utilizing one or more models to audit a process
AssigneeMynatek, Inc.
InventorsAlexander Raymond Richard Farren, Richard Samuel Kagan
Life of this patent
Estimating the term…
Abstract
Data associated with one or more workers performing a task is obtained by one or more sensors. One or more machine learning models trained to determine whether the one or more workers correctly performed the task based on the data associated with the one or more workers performing the task are utilized. A notification indicating whether the one or more workers correctly performed the task is outputted.
Claims23
A system, comprising:
- a plurality of sensors configured to obtain data associated with one or more workers performing a task, wherein a first sensor of the plurality of sensors is an image sensor and a second sensor of the plurality of sensors is a different type of sensor than the first sensor;
- and
- a processor coupled to the one or more sensors and configured to:
- process the data associated with the one or more workers, wherein computer vision is utilized to extract one or more features or patterns from image data obtained from the image sensor and to recognize gestures and/or actions performed by the one or more workers;
- generate a feature vector that includes one or more sensor values associated with the second sensor and corresponding values associated with the extracted features or the extracted patterns;
- input the feature vector to one or more models to determine whether the one or more workers correctly performed the task;
- and
- output a notification indicating whether the one or more workers correctly performed the task based on an output of the one or more models.
5 more elements
(canceled)
A method, comprising:
- obtaining data associated with one or more workers performing a task, wherein the data associated with the one or more workers performing the task is obtained from a plurality of sensors, wherein a first sensor of the plurality of sensors is an image sensor and a second sensor of the plurality of sensors is a different type of sensor than the first sensor;
- processing the data associated with the one or more workers, wherein computer vision is utilized to extract one or more features or patterns from image data obtained from the image sensor and to recognize gestures and/or actions performed by the one or more workers;
- generating a feature vector that includes one or more sensor values associated with the second sensor and corresponding values associated with the extracted features or the extracted patterns;
- inputting the feature vector to one or more models to determine whether the one or more workers correctly performed the task;
- and
- outputting a notification indicating whether the one or more workers correctly performed the task based on an output of the one or more models.
3 more elements
A computer program product embodied in a non-transitory computer readable medium and comprising computer instructions for:
- obtaining data associated with one or more workers performing a task, wherein the data associated with the one or more workers performing the task is obtained from a plurality of sensors, wherein a first sensor of the plurality of sensors is an image sensor and a second sensor of the plurality of sensors is a different type of sensor than the first sensor;
- processing the data associated with the one or more workers, wherein computer vision is utilized to extract one or more features or patterns from image data obtained from the image sensor and to recognize gestures and/or actions performed by the one or more workers;
- generating a feature vector that includes one or more sensor values associated with the second sensor and corresponding values associated with the extracted features or the extracted patterns;
- inputting the feature vector to one or more models to determine whether the one or more workers correctly performed the task based on the data associated with the one or more workers performing the task;
- and
- outputting a notification indicating whether the one or more workers correctly performed the task based on an output of the one or more models.
3 more elements
Dependencies are inferred from the claim text.