Systems and methods of product recognition through multi-model image processing

A system to recognize products in a physical facility, comprising:

• an imaging system;
• a control circuit configured to control the imaging system to capture a series of frames;
• at least one tangible memory storing a product database comprising sets of product imaging data, wherein each set of product imaging data corresponds to one of multiple different products;
• and
• a decision control circuit communicatively coupled with the memory and configured to:
• process at least one frame of the series of frames, captured by the imaging system, by at least a first modeling technique relative to a first image attribute and obtain a corresponding first product identification probability that an item, captured within the at least one frame of the series of frames, is estimated to be a first product;
• process one or more frames of the series of frames by a second modeling technique relative to a second image attribute that is different than the first image attribute, and obtain a corresponding second product identification probability that the item, captured within the one or more frames of the series of frames, is estimated to be the first product;
• collectively evaluate the first product identification probability and the second product identification probability;
• and
• identify, based on the collective evaluation, there is a threshold consistency relative to at least the first product identification probability and the second product identification probability and confirm an identification of the item as the first product based on the identification of the threshold consistency.