Systems and methods of transforming image data to product storage facility location information

An image based retail location confirmation system, comprising:

• a machine learning model database storing a set of two or more machine learning models;
• a deblur system communicatively coupled over a distributed communication network with the machine learning model database, wherein the deblur system is configured to receive a portion of a first image comprising a first presumed location label and a second presumed location label captured by an image capture device configured to capture images within a product storage facility, and apply at least a deblurring machine learning framework to the portion of the first image and generate a first deblurred label image comprising the first presumed location label and the second presumed location label;
• a rectification system communicatively coupled over the distributed communication network with the machine learning model database, wherein the rectification system is configured to apply a rectification machine learning transform algorithm to justify the first deblurred label image according to a known shape of location labels to thereby generate a first rectified label image;
• an optical character recognition (OCR) system communicatively coupled over the distributed communication network with the machine learning model database, wherein the OCR system is configured to:
• apply a recognition machine learning model to the first rectified label image to estimate text of the first presumed location label and the second presumed location label;
• and
• verify that identified patterns of the first presumed location label and the second presumed location label conform with a known location label pattern for location labels;
• and
• a location estimation system configured to;
• select one of the first presumed location label and the second presumed location label as a selected presumed location label based on which one of the first presumed location label and the second presumed location label is assigned a higher prioritized value for determining location;
• and
• estimate a location within the product storage facility of the selected presumed location label as a function of the estimated text of the selected presumed location label relative to known text on known location labels positioned at respective different known locations within the product storage facility.