This inventor holds 3 USPTO granted patents and 3 published patent applications. Top assignee: Neology, Inc.. Active years: 2022-2025.
Company Filing History:
Years Active: 2022-2025
Title: Innovations by Peter Istenes in Vehicle Identification Technology
Introduction
Peter Istenes is a notable inventor based in Budapest, Hungary. He has made significant contributions to the field of vehicle identification technology. With a total of 3 patents to his name, Istenes is recognized for his innovative approaches to automatic license plate recognition and vehicle identification systems.
Latest Patents
One of Peter Istenes' latest patents focuses on Automatic License Plate Recognition (ALPR) and vehicle identification profile methods and systems. This invention provides various systems and methods for the automated classification of vehicle reads to build a vehicle identification profile. The method involves capturing an image frame of a vehicle using a camera, identifying key elements such as the license plate number and vehicle descriptors through image processing, and determining the probability that the read includes the vehicle. If the probability exceeds a certain threshold, the system identifies a vehicle identification profile in a database and updates it with the captured read.
Career Highlights
Peter Istenes is currently employed at Neology, Inc., where he continues to develop innovative solutions in vehicle identification technology. His work has contributed to advancements in automated vehicle identification systems, enhancing security and efficiency in various applications.
Collaborations
Peter collaborates with talented professionals in his field, including Dave Bynum and Israel Padilla. Their combined expertise fosters a creative environment that drives innovation in vehicle identification technologies.
Conclusion
Peter Istenes is a pioneering inventor whose work in automatic license plate recognition and vehicle identification systems has made a significant impact in the industry. His contributions continue to shape the future of vehicle identification technology.