Delray Beach, FL, United States of America

Don Tran


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 49(Granted Patents)


Company Filing History:


Years Active: 2005

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1 patent (USPTO):Explore Patents

Title: Don Tran - Innovator in Machine Vision Technology

Introduction

Don Tran is a notable inventor based in Delray Beach, Florida. He has made significant contributions to the field of machine vision technology. His innovative work focuses on improving the detection and verification of multiple object conditions in various applications.

Latest Patents

Don Tran holds a patent for a "Machine vision-based singulation verification system and method." This system is designed to detect multiple object conditions, such as side-by-side and overlapped objects, particularly packages on a conveyor. The invention includes a machine vision system that comprises at least one machine vision camera, an illumination subsystem, and a machine vision computer. The illumination subsystem is configured to illuminate multiple objects as they are conveyed past a field of view at an inspection station along a conveyor belt. The machine vision camera captures images of the objects, while the machine vision computer processes these images to detect the presence of multiple object conditions by counting the number of edges in the captured images. If the number of edges exceeds four, it indicates the presence of more than a single package condition.

Career Highlights

Don Tran is currently employed at Robotic Vision Systems, Inc., where he continues to develop and refine his innovative technologies. His work has been instrumental in advancing the capabilities of machine vision systems in various industries.

Collaborations

One of his notable coworkers is George W. Schurr, with whom he collaborates on various projects related to machine vision technology.

Conclusion

Don Tran's contributions to machine vision technology exemplify the innovative spirit of modern inventors. His patented system enhances the efficiency and accuracy of object detection in industrial applications.

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