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

A method at an electronic computing device 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, the method comprising:

• receiving, at the electronic computing device, first context information including one or more entered in-field incident timeline information values from an in-field incident timeline application and a time associated with an entry of the including one or more first context information values at the in-field incident timeline application;
• accessing, by the electronic computing device, an incident timeline information to detectable event mapping that maps in-field incident timeline information values to events having a pre-determined threshold confidence of occurring;
• identifying, by the electronic computing device, via the incident timeline information to detectable event mapping using the first context information, a particular event associated with the received first context information;
• determining, by the electronic computing device, a geographic location associated with the entry of the first context information and a time period relative to the time associated with the entry of the first context information;
• accessing, by the electronic computing device, an imaging camera location database and identifying, via the imaging camera location database, one or more particular imaging cameras that has or had a field of view including the determined geographic location during the determined time period;
• retrieving, by the electronic computing device, one or more audio and/or video streams captured by the one or more particular imaging cameras during the determined time period;
• identifying, by the electronic computing device, one or more machine learning training modules corresponding to one or more machine learning models for detecting the particular event in and/or video streams;
• and
• providing, by the electronic computing device, the one or more audio and/or video streams to the identified one or more machine learning training modules for further training of corresponding machine learning models.