Company Filing History:
Years Active: 2011-2017
Title: The Innovations of Daniel A. Newcomer
Introduction
Daniel A. Newcomer is an accomplished inventor based in Cave Creek, AZ (US). He has made significant contributions to the field of data verification systems, holding a total of 4 patents. His work focuses on enhancing the accuracy and efficiency of data acquisition processes.
Latest Patents
One of Newcomer's latest patents is for a property record document data verification system and method. This innovative system is designed to verify machine-recognized data elements acquired during a machine-implemented data acquisition process. The system comprises a data verification workstation, an image server, and a data entry server. The data verification workstation is configured to obtain document images from the image server and present portions of these images to an operator. The operator can then provide input based on the text within the document images. The workstation also acquires machine-recognized data elements from the data entry server, which were obtained during the data acquisition process. Furthermore, the system compares the operator's input with the machine-recognized data elements and prompts the operator to re-input data as necessary based on this comparison.
Career Highlights
Throughout his career, Daniel A. Newcomer has worked with notable companies such as First American Financial Corporation and Data Trace Information Services, LLC. His experience in these organizations has contributed to his expertise in developing advanced data verification technologies.
Collaborations
Newcomer has collaborated with several professionals in his field, including Dennis Lee Branham and Paul Kosan. These partnerships have likely enriched his work and led to further innovations in data verification systems.
Conclusion
Daniel A. Newcomer is a prominent inventor whose work in data verification systems has made a significant impact on the industry. His innovative patents and career achievements reflect his dedication to improving data accuracy and efficiency.