Company Filing History:
Years Active: 2023-2024
Title: Innovations by Jose Fernandez-Dorado
Introduction
Jose Fernandez-Dorado is an accomplished inventor based in Munich, Germany. He has made significant contributions to the field of machine vision technology. With a total of two patents to his name, his work focuses on enhancing the capabilities of vision systems.
Latest Patents
Jose's latest patents include a "Machine vision system and method with on-axis aimer and distance measurement assembly." This invention features an on-axis aimer and distance measurement apparatus that utilizes a light source to generate a first light beam along a specific axis. The first light beam projects an aimer pattern on an object, while a receiver captures reflected light to determine the distance between the lens of the vision system and the object. This distance information allows for the control of various parameters within the vision system.
Another notable patent is the "Machine vision system and method with multi-aperture optics assembly." This apparatus is designed to control the depth of field for a reader in a vision system. It includes a dual aperture assembly with an inner and outer region. By utilizing two different light sources, the depth of field can be adjusted based on the selected light source, which illuminates the object for image acquisition.
Career Highlights
Jose Fernandez-Dorado is currently employed at Cognex Corporation, a leading company in machine vision technology. His work at Cognex has allowed him to develop innovative solutions that enhance the performance of vision systems. His expertise in this field has positioned him as a valuable asset to the company.
Collaborations
Jose collaborates with talented coworkers, including Laurens Nunnink and Pablo Garcia-Campos. Their combined efforts contribute to the advancement of machine vision technologies and the successful development of innovative products.
Conclusion
Jose Fernandez-Dorado is a prominent inventor whose work in machine vision technology has led to significant advancements in the field. His patents reflect his commitment to innovation and his ability to solve complex challenges in vision systems. His contributions continue to shape the future of machine vision applications.