Ryan Cahill

Title: Ryan Cahill and Innovations in Identification Document Authentication.

Introduction

Ryan Cahill is an inventor based in Charlestown, Massachusetts. His patent work focuses on using machine learning and image recognition to classify and authenticate identification documents. He is associated with Meta Platforms, Inc., and has 2 patents.

Latest Patents

Cahill’s listed patents address automated document verification using image analysis and artificial intelligence.

“Classification and Authentication of Identification Documents Using a Convolutional Neural Network” describes a method for assessing whether a physical identification document is authentic. An authentication manager analyzes an image, extracts document characteristics, determines the document’s class, and applies a convolution kernel to generate a feature map. It then uses that map to calculate a score indicating the likelihood that the document is valid.

“System and Method for Classification and Authentication of Identification Documents Using a Machine Learning Based Convolutional Neural Network” describes systems that classify and authenticate identification documents using information visible on their faces. The technology can also extract data from documents and may be applied to other materials, including currency, stamps, and invoices.

Career Highlights

The patent descriptions highlight Cahill’s work in applying convolutional neural networks to document recognition and authentication. These approaches are designed to automate the analysis of document images and support decisions about document validity.

Collaborations

Cahill’s listed coworkers include Raphael A. Rodriguez and Xiaolu Xiong. The provided information does not specify their roles in the patents or the extent of their collaboration.

Conclusion

Ryan Cahill’s patent work centers on machine-learning systems for classifying, extracting information from, and authenticating documents, including identification cards and other printed materials.