Company Filing History:
Years Active: 2025-2026
Title: Thomas Oliver Cantrell: Innovator in Document Processing Technology
Introduction
Thomas Oliver Cantrell is an accomplished inventor based in Maidens, Virginia. He has made significant contributions to the field of document processing technology. His innovative approach has led to the development of a unique system that enhances the efficiency of remote deposit environments.
Latest Patents
Cantrell holds a patent for a "System for automatically processing documents." This invention is a computer-implemented method, system, and non-transitory computer-readable device designed for use in remote deposit environments. The system utilizes a plurality of differing neural networks, including customizable neural networks, which are selected based on the architecture and features of the data field. These networks extract data from specific data fields on a document. The customizable neural networks are trained using historical or synthetic data corresponding to the data fields. Upon receiving input from a neural network Optical Character Recognition (OCR) system, the selected trained customizable neural network models extract the data fields. This process is executed based on a series or parallel configuration of the customizable neural networks, with the extracted data communicated to a remote deposit process. Cantrell's innovative work has resulted in 1 patent.
Career Highlights
Cantrell is currently employed at Capital One Services, LLC, where he continues to develop and refine his innovative technologies. His work focuses on improving the efficiency and accuracy of document processing systems, which are essential in today's digital banking environment.
Collaborations
One of his notable coworkers is Joseph Ford, III. Their collaboration has contributed to the advancement of technologies within their organization.
Conclusion
Thomas Oliver Cantrell is a pioneering inventor whose work in document processing technology has the potential to transform remote deposit environments. His innovative solutions demonstrate the importance of integrating advanced neural networks into practical applications.