Systems and methods for reducing false identifications of products

A system comprising:

• an autonomous robot configured to migrate throughout a product storage facility;
• and
• at least one image capture device incorporated into the autonomous robot, the at least one image capture device configured to capture an image of a product stored at the product storage facility as the autonomous robot migrates throughout the product storage facility;
• a trained machine learning model, wherein a training dataset of the trained machine learning model includes known product templates associated with known universal product codes (UPCs);
• a control circuit configured to perform the following operations:
• detecting an object in the image;
• cropping a portion of the image depicting a UPC associated with the detected object, wherein the UPC associated with the detected object is excluded from the known UPCs in the training dataset;
• determining, via the trained machine learning model, a feature associated with a cluster of the known UPCs is greater than a feature threshold;
• and
• automatically updating, via metric learning, the training dataset to include a representative image of the detected object and the UPC associated with the detected object based at least on the feature associated with the cluster of known UPCs being greater than the feature threshold.