Springboro, OH, United States of America

Steven M Wolff

This inventor holds 2 USPTO granted patents. Top assignee: General Electric Company. Active years: 1991.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 2

Forward Citations = 82(Granted Patents)


Company Filing History:


Years Active: 1991

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2 patents (USPTO):Explore Patents

Title: Innovations by Steven M Wolff

Introduction

Steven M Wolff is an accomplished inventor based in Springboro, OH (US). He holds 2 patents that showcase his expertise in machine vision systems. His work has significantly contributed to the automation of machine processes, particularly in the field of laser welding.

Latest Patents

One of his notable patents is a machine vision system designed for automating a machine process. This system incorporates a conventional CCD camera and a vision processor that automatically determines process parameters from a workpiece surface. It generates an image of the workpiece surface, transduces the image into electrical signals, and electronically determines the process parameters from these signals. When applied to a laser welding process, the vision system effectively locates workpiece edges, determines part centerline and thickness, and calculates essential process parameters such as weld location, the rate of delivery of weld powder, laser intensity, and the speed at which the weld is applied.

Career Highlights

Steven M Wolff is associated with General Electric Company, where he has made significant contributions to the field of machine vision. His innovative approach has led to advancements in automation technology, enhancing efficiency and precision in manufacturing processes.

Collaborations

He has collaborated with notable colleagues, including Rajendra P Rathi and David G Tashjian, who have also contributed to the advancements in their respective fields.

Conclusion

Steven M Wolff's contributions to machine vision systems exemplify the impact of innovation in automation technology. His patents reflect a commitment to improving manufacturing processes through advanced vision systems.

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