Image Processing and Automatic Learning on Low Complexity Edge Apparatus and Methods of Operation

A system of image processing and automatic learning comprises:

• an image capturing and change detection unit for capturing of an image of a site, and configured to process the image to identify any change in scene of the site, and enable one of
• an inference unit;
• and
• a validation training unit based change detection;
• the inference unit, connected to change detection module, for identification of an event, and generating the notification when the change detection unit identifies change in the scene of the site;
• the validation training unit, connected to the change detection unit, to perform validation and training when the change detection unit doesn’t identify any change in scene of the site;
• and
• a storage unit, connected to the inference unit and the validation training unit, for storing the data received from the inference unit and the validation training unit.

A method of image processing and automatic learning comprises:

• capturing an image by an image capturing unit;
• processing an image by a change detection unit to identify change in a scene of a site;
• activating an inference unit by the change detection unit in an event change is detected by the change detection module;
• activating a validation and training unit in an event no activity is detected by the change detection unit;
• processing of the image by the inference unit to identify the activity in the captured image;
• validating and training by the validation and training unit to train the inference unit;
• and
• storing the data in the storage unit received by the inference unit and the validation training unit.