Motorola Solutions, Inc.

Mariusz Jochymczyk

Pawel Wilkosz

Krzysztof Jasinski

Piotr Matejanka

Janusz Szuba

A device, system, and method for implementing role-based machine learning models is provided. A implements a supervisory machine learning model that detects a first role associated with a first object in images received from a camera. The device, from machine learning models, selects and implements a first machine learning model associated with the first role to perform analysis on the images, that is reported to one or more communication devices. After implementing the first machine learning model, the device uses the supervisory machine learning model to determine a second role associated with a second object in the images that is different from the first role, and selects, from the machine learning models, a second machine learning model associated with the second role. The device implements the second machine learning model to perform analysis on the images to change the analysis reported to the one or more communication device.

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Cracow, Poland

Mariusz Jochymczyk