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

• Main Authors: LAW, Daniel A, WICKRAMASURIYA, Jehan
• Format: Patent
• Language: English
• Published: 03.09.2020
• Subjects: ALARM SYSTEMS; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; ORDER TELEGRAPHS; PHYSICS; PICTORIAL COMMUNICATION, e.g. TELEVISION; SIGNALLING; SIGNALLING OR CALLING SYSTEMS

Receive first context information including sensor information values from in-field sensors and a time associated with a capture of the first context information. Access a context to detectable event mapping that maps sets of sensor information values to events and identify a particular event associated with the received first context information. Determine a geographic location associated with the in-field sensors and access an imaging camera location database and identify particular imaging cameras that have a field of view including the determined geographic location during the time associated with the capture of the first context information. Retrieve audio and/or video streams captured by the particular imaging cameras, identify machine learning training modules corresponding to machine learning models for detecting the particular event in audio and/or video streams, and provide the audio and/or video streams to the machine learning training modules for further training of the corresponding machine learning models.