La Ciotat, France

Franck Marrot

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Airbus Helicopters. Active years: 2016.


 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Franck Marrot: Innovator in Noise Treatment Technology

Introduction

Franck Marrot is a notable inventor based in La Ciotat, France. He has made significant contributions to the field of noise treatment technology, particularly in the context of vehicles. His innovative approach aims to enhance the comfort of passengers by effectively managing noise levels.

Latest Patents

Marrot holds a patent for a method and an active device designed to treat noise on board a vehicle. This device comprises at least one local noise sound sensor and a sound system that includes a support and sound actuators. Additionally, it features a position sensor to determine the position of a person's head. The treatment unit connected to the local noise sound sensor processes the noise signal and generates control signals for the sound actuators. These control signals are tailored based on the local noise signal and specific transfer functions per ear, ensuring effective noise cancellation.

Career Highlights

Franck Marrot is currently employed at Airbus Helicopters, where he applies his expertise in developing advanced noise treatment solutions. His work focuses on enhancing the auditory experience within helicopters and other vehicles, contributing to improved passenger comfort and safety.

Collaborations

Marrot collaborates with Julien Caillet, a fellow innovator, to further advance their research and development efforts in noise treatment technologies.

Conclusion

Franck Marrot's innovative contributions to noise treatment technology demonstrate his commitment to improving passenger experiences in vehicles. His patent reflects a significant advancement in the field, showcasing the potential for enhanced comfort through effective noise management.

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