This inventor holds 1 USPTO granted patent. Top assignee: Other. Active years: 1993.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1993
Title: Azriel Rosenfeld: Innovator in Automatic Shape Detection
Introduction
Azriel Rosenfeld is a notable inventor based in Silver Spring, MD (US). He has made significant contributions to the field of image processing, particularly in the automatic detection of elliptical shapes. His innovative approach has the potential to enhance the efficiency of robotic assembly processes in various industrial applications.
Latest Patents
Rosenfeld holds a patent for a method titled "Automatic detection of elliptical shapes." This invention describes a technique for the rapid and reliable detection of industrial parts that exhibit circular or elliptical outlines. The method utilizes electronic scanning through a video camera to identify edges in an image by detecting changes in light intensity. For objects shaped like conic sections, such as ellipses, the technique effectively identifies midpoints between edges, which align on a straight line detectable by Hough's method. This advancement is crucial for improving the identification of parts in robotic assembly.
Career Highlights
Throughout his career, Azriel Rosenfeld has focused on developing methods that streamline industrial processes. His work in image processing has garnered attention for its practical applications in manufacturing and automation. With a patent count of 1 patent, he continues to contribute to the field through innovative solutions.
Collaborations
Rosenfeld has collaborated with Isaac Weiss, working together to advance their research and development efforts in the realm of image processing and automation.
Conclusion
Azriel Rosenfeld's contributions to the field of automatic shape detection exemplify the impact of innovation in industrial applications. His work not only enhances the efficiency of robotic assembly but also sets a foundation for future advancements in image processing technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile