Method, device, and system for adaptive training of machine learning models via detected in-field contextual incident timeline entry and associated located and retrieved digital audio and/or video imaging

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United States of America Patent

PATENT NO 11417128
APP PUB NO 20190197369A1
SERIAL NO

15851760

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Abstract

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Receive first context information (FCI) including entered in-field incident timeline information values from an in-field incident timeline application and a time associated with an entry of the FCI values. Access a mapping that maps in-field incident timeline information values to events having a pre-determined threshold confidence of occurring and identify an event associated with the received FCI. Determine a location associated with the entry of the FCI and a time period associated with the entry of the FCI. Access a camera location database and identify cameras that have a field of view including the location during the time period. Retrieve audio and/or video streams captured by the cameras during the time period. And provide the audio and/or video streams to machine learning training modules corresponding to machine learning models for detecting the event in and/or video streams for further training of the machine learning models.

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Patent Owner(s)

Patent OwnerAddress
MOTOROLA SOLUTIONS INC500 W MONROE STREET CHICAGO IL 60661

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Law, Daniel A Glencoe, US 14 271
Wickramasuriya, Jehan St. Charles, US 36 633

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