David Thor

Title: Innovations by David Thor in Document Authentication

Introduction

David Thor is an accomplished inventor based in Boston, MA (US). He has made significant contributions to the field of document authentication, holding 2 patents that leverage advanced technologies such as convolutional neural networks and machine learning.

Latest Patents

David's latest patents focus on the classification and authentication of identification documents. The first patent describes a method to determine the authenticity of a physical identification document. An authentication manager receives an image of the document and extracts a set of characteristics from it. The manager then determines the class of the document and applies a convolution kernel to generate a feature map. Based on this feature map, a score is calculated to identify the likelihood that the document is valid. The authentication manager provides an indication of authenticity based on this score.

The second patent outlines a system and method for classifying and authenticating ID documents using machine learning techniques. This system can automatically classify, authenticate, and extract data from documents using artificial intelligence (AI) for image recognition. It can also determine the authenticity of various documents, including currency, stamps, and invoices.

Career Highlights

David Thor is currently employed at Meta Platforms, Inc., where he continues to innovate in the field of document authentication. His work is pivotal in enhancing security measures for identification documents.

Collaborations

David collaborates with talented individuals such as Raphael A Rodriguez and Ryan Cahill, contributing to the advancement of technology in his field.

Conclusion

David Thor's innovative work in document authentication showcases the potential of machine learning and convolutional neural networks in enhancing security. His contributions are significant in the ongoing evolution of identification verification technologies.