Austin, TX, United States of America

Peter Crary

This inventor holds 3 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignee: Neology, Inc.. Active years: 2022-2025.

USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Peter Crary in Vehicle Identification Technology

Introduction

Peter Crary is an accomplished inventor based in Austin, TX (US). He has made significant contributions to the field of vehicle identification technology. With a total of 3 patents to his name, Crary is recognized for his innovative approaches to automatic license plate recognition.

Latest Patents

One of Peter Crary's 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 a probability value that the read includes the vehicle. When this 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 Crary is currently employed at Neology, Inc., where he continues to develop innovative solutions in vehicle identification technology. His work has been instrumental in advancing the capabilities of ALPR systems.

Collaborations

Some of his notable coworkers include Peter Istenes and Israel Padilla, who contribute to the collaborative environment at Neology, Inc.

Conclusion

Peter Crary's work in vehicle identification technology exemplifies the impact of innovation in enhancing automated systems. His contributions continue to shape the future of vehicle recognition and identification.

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