Carlos Carratalá

Title: Carlos Carratalá: Innovator in Digital Inkjet Technology

Introduction

Carlos Carratalá is a notable inventor based in Vila-Real, Spain. He has made significant contributions to the field of digital inkjet technology, particularly in the application of three-dimensional relief on ceramic tiles. With a total of 3 patents, Carratalá's work showcases the intersection of machine learning and innovative printing techniques.

Latest Patents

One of Carratalá's latest patents is titled "Machine learning-implemented inkjet processing for generation of three-dimensional relief on tiles." This technique involves applying three-dimensional relief to substrates such as ceramic tiles using digital inkjet technology. A computer system processes information defining a relief pattern, from which a feature vector is extracted. A machine learning model generates control commands to configure the digital inkjet printer, allowing for the application of binder ink to create a protective layer over the substrate.

Another significant patent is "Inkjet process for three-dimensional relief on tiles." This technique also utilizes digital inkjet technology to apply binder ink to a portion of the substrate's surface. The binder ink forms a barrier layer, protecting certain areas while a brushing process removes unprotected portions, resulting in the desired 3D relief.

Career Highlights

Carlos Carratalá is currently employed at Electronics for Imaging GmbH, where he continues to develop innovative solutions in the field of digital printing. His expertise in machine learning and inkjet technology has positioned him as a key player in advancing the capabilities of ceramic tile production.

Collaborations

Throughout his career, Carratalá has collaborated with talented individuals such as Mark Zavada and Alexander Meranto. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Carlos Carratalá's contributions to digital inkjet technology and his innovative patents highlight his role as a leading inventor in the field. His work not only enhances the production of ceramic tiles but also demonstrates the potential of integrating machine learning with traditional manufacturing processes.