Patent ID: 11954903
Assignee: UNITED STATES POSTAL SERVICES
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for automatically recognizing geographical area information provided on an item, the system comprising:
an optical scanner configured to capture geographical area information provided on an item, the geographical area information comprising a plurality of geographical area components, wherein the geographical area components comprise at least a state, a city, a street, and a street number;
a memory configured to store a plurality of machine learning or deep learning models, wherein the plurality of machine learning or deep learning models comprises:
a state machine learning or deep learning model trained to recognize the state from the captured geographical area information,
a city machine learning or deep learning model trained to recognize the city from all constituent cities of the recognized state,
a street machine learning or deep learning model trained to recognize the street from all constituent streets of the recognized city, and
a street number machine learning or deep learning model trained to recognize the street number from all constituent street numbers of the recognized street; and

a controller in data communication with the optical scanner and configured to recognize the captured geographical area information by running the plurality of machine learning or deep learning models separately and sequentially on the plurality of geographical area components of the captured geographical area information.