Norwich, NY, United States of America

Michael Hoffelder

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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3 patents (USPTO):Explore Patents

Title: Michael Hoffelder: Innovator in Medical Imaging and Machine Vision

Introduction

Michael Hoffelder is an accomplished inventor based in Norwich, NY (US). He holds a total of 3 patents that showcase his expertise in medical imaging and machine vision technologies. His innovative contributions have significantly impacted the fields in which he has worked.

Latest Patents

One of Hoffelder's latest patents is titled "Method for registering two or more patient images for change assessment over time." This invention involves a system, method, and computer program product designed to register multiple patient images to assess changes over time. The process includes obtaining new and reference images, performing pre-processing, coarse alignment, high-resolution estimates, and segmentation, ultimately displaying the analysis results on a validator.

Another notable patent is the "Operator assistance vision system." This vision system assists machine operators by capturing images of the machine's environment. It employs an object detection process to identify objects within the captured images, generating a three-dimensional (3D) view that enhances the operator's situational awareness.

Career Highlights

Throughout his career, Hoffelder has worked with prominent companies such as Caterpillar Inc. and Veytel, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Hoffelder has collaborated with talented individuals, including Lawrence Andrew Mianzo and Joe E Forcash. These partnerships have fostered a creative environment that has led to the development of groundbreaking inventions.

Conclusion

Michael Hoffelder's contributions to medical imaging and machine vision demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications, making him a valuable figure in his field.

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