This inventor holds 1 USPTO granted patent. Top assignee: Cognex Corporation. Active years: 2019.
Company Filing History:
Years Active: 2019
Title: The Innovative Contributions of Benjamin D Klass
Introduction
Benjamin D Klass is an accomplished inventor based in Worcester, MA (US). He has made significant contributions to the field of technology, particularly in the area of reading and decoding ID codes on complex surfaces. His innovative approach has led to the development of a unique system that enhances the efficiency of identifying features on curved and sloped objects.
Latest Patents
Klass holds a patent for a "System and method for reading and decoding ID codes on a curved, sloped and/or annular object." This invention provides a comprehensive solution for reading and decoding ID features located on surfaces such as tires moving on a conveyor. The system utilizes a plurality of 3D sensors connected to a vision system processor, which generates a stitched-together 3D image of the field of view. The motion conveyance, such as a conveyor, facilitates relative motion between the object and the sensors, allowing for accurate identification of ID features.
Career Highlights
Klass is currently employed at Cognex Corporation, a leader in machine vision and industrial barcode reading technology. His work at Cognex has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in automated identification systems. His patent reflects his commitment to improving technology in the manufacturing and logistics sectors.
Collaborations
Klass has collaborated with notable colleagues, including Matthew R Reome and Ali Moghaddam Zadeh. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Benjamin D Klass is a notable inventor whose work has significantly impacted the field of ID code reading technology. His innovative patent demonstrates his expertise and dedication to advancing industrial applications. His contributions continue to shape the future of automated identification systems.