Company Filing History:
Years Active: 1992
Title: Victor Ren: Innovating Radar Display Technology
Introduction: Victor Ren is an accomplished inventor located in Fremont, CA, known for his significant contribution to radar data visualization. With one patent to his name, Ren's innovative methods have the potential to enhance the interpretation of radar signals, making complex data more accessible and understandable.
Latest Patents: Victor Ren holds a patent for a "Method and Apparatus for Displaying Radar Data." This invention introduces a novel approach to displaying radar data on a monitor divided into octants. The technology focuses on defining the data through a pie-shaped slice, utilizing parameters such as a defined center point, radius, starting angle, and radial displacement data. The innovations in this patent allow for a visually informative display, correlating displacement data into pixel colors for an intuitive viewer experience.
Career Highlights: Ren currently works at Ramtek Corporation, where he applies his expertise and innovative thinking to advance technology in radar data processing. His passion for engineering and dedication to finding solutions have made him a valued member of his team. His career is marked by a commitment to enhancing the accuracy and efficiency of radar systems through continuous innovation.
Collaborations: At Ramtek Corporation, Victor collaborates closely with his coworker, Jim Nocar. Together, they explore new ideas and approaches in radar technology, fostering an environment of creativity and innovation within the organization. Their collaborative efforts aim to push the boundaries of what’s possible in radar data visualization.
Conclusion: Victor Ren's contributions to the field of radar data display showcase his innovative spirit and commitment to enhancing technological applications. With one patent under his belt and a promising career at Ramtek Corporation, Ren continues to play an essential role in advancing radar technology, making significant strides that benefit various industries reliant on this crucial data interpretation method.