Automatic item identification during assisted checkout based on visual features

A system for automatically identifying a plurality of items positioned at a point of sale (POS) system based on a plurality of item parameters associated with each item as provided by a plurality of images captured by a plurality of cameras positioned at the POS system, comprising:

• at least one processor;
• a memory coupled with the at least one processor, the memory including instructions that, when executed by the at least one processor cause the at least one processor to:
• extract the plurality of item parameters associated with each item positioned at the POS system from the plurality of images of each item captured by the plurality of cameras positioned at the POS system to map the plurality of item parameters into a corresponding feature vector for each item, wherein the item parameters associated with each item when combined and mapped into the corresponding feature vector for each item are indicative as to an identification of each corresponding item thereby enabling the identification of each corresponding item,
• identify each corresponding item positioned at the POS system when each feature vector associated with each item matches a corresponding stored feature vector as stored in an item parameter identification database and fail to identify each corresponding item when each feature vector associated with each item fails to match a corresponding stored feature vector, and
• stream each feature vector associated with each item positioned at the POS system that fails to match a corresponding stored feature vector stored in the item parameter identification database thereby enabling the identification of each failed item when each feature vector of each failed item are subsequently identified when positioned at the POS system after the failed match.