Brighton, MA, United States of America

Leonid Taycher


Average Co-Inventor Count = 2.0

ph-index = 4

Forward Citations = 111(Granted Patents)


Location History:

  • Brighton, MA (US) (2001 - 2003)
  • Newtonville, MA (US) (2002 - 2004)

Company Filing History:


Years Active: 2001-2004

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6 patents (USPTO):Explore Patents

Title: Leonid Taycher: Innovator in Machine Vision Technologies

Introduction

Leonid Taycher is a prominent inventor based in Brighton, MA (US), known for his contributions to machine vision technologies. With a total of 6 patents, Taycher has made significant advancements in the field, particularly in methods and systems for boundary feature comparison of patterns and images.

Latest Patents

One of his latest patents, titled "Machine vision methods and systems for boundary feature comparison of patterns and images," provides innovative boundary-based machine vision methods. This invention involves steps such as finding points on a boundary in an image, identifying boundary features, and determining relationships between these features and corresponding patterns. Another notable patent is "Automatic training of inspection sites for paste inspection," which describes a method for training systems to identify inspection sites on circuit boards. This method utilizes a priori information to create regions associated with nominal pad locations, enhancing the accuracy of pad candidate selection.

Career Highlights

Throughout his career, Taycher has worked with notable companies, including Cognex Corporation and Cognex Technology and Investment Corporation. His work has significantly impacted the development of machine vision systems, making them more efficient and reliable.

Collaborations

Taycher has collaborated with talented individuals in the field, including Arman M Garakani and Juha Tapio Koljonen. These collaborations have contributed to the advancement of machine vision technologies and the successful development of innovative solutions.

Conclusion

Leonid Taycher's contributions to machine vision technologies through his patents and collaborations highlight his role as a key innovator in the field. His work continues to influence advancements in machine vision systems, showcasing the importance of innovation in technology.

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