Donneloye, Switzerland

Ruben Fontes

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovations by Ruben Fontes

Introduction

Ruben Fontes is an accomplished inventor based in Donneloye, Switzerland. He has made significant contributions to the field of sensor technology, particularly in noise reduction systems. His innovative approach has led to the development of a unique patent that addresses critical challenges in sensor systems.

Latest Patents

Ruben Fontes holds a patent for a "System and method for reducing noise in a sensor system." This invention involves a sensor system with an acquisition unit that includes an analog to digital converter. The converter generates a series of digital sensor signals, which are then evaluated by a first evaluation unit. This unit produces output signals corresponding to sensor events. Additionally, a second evaluation unit, independent of the first, processes at least two series of digital sensor signals to generate a control signal. This control signal is designed to select a sampling frequency that controls the analog-to-digital converter, allowing for improved performance by sampling the signals at different frequencies. Ruben Fontes has 1 patent to his name.

Career Highlights

Ruben Fontes is currently employed at Microchip Technology Inc., where he continues to innovate and develop advanced technologies. His work focuses on enhancing sensor systems, making them more efficient and reliable. His expertise in this area has positioned him as a valuable asset to his company.

Collaborations

Ruben collaborates with Lionel Nicolas Portmann, a fellow innovator in the field. Together, they work on projects that aim to push the boundaries of sensor technology and improve the functionality of various systems.

Conclusion

Ruben Fontes is a notable inventor whose work in sensor technology has led to significant advancements in noise reduction systems. His contributions are shaping the future of sensor applications, making them more effective and reliable.

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