Philippe Levionnais

USPTO Granted Patents = 18 (Patent Applications = 2)

EPO Patents = 10 (Patent Applications = 16)

Average Co-Inventor Count = 1.7

ph-index = 4

Forward Citations = 135(Granted Patents)

Location History:

Caen, FR (1992 - 2021)
Chatillon, FR (2020 - 2022)

Company Filing History:

L'etat Francais Represente Par Le Ministre Des Postes, Des

patents

where one patent can have more than one assignee

Years Active: 1992-2025

Loading Chart...

18 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12250543 - Method and device for supplying a terminal of a first user with a biometric signature of a second user (2025-03-11),

2. 12224806 - Method and device for recognizing a user (2025-02-11),

3. 12141801 - Method and device for authenticating a user using the conductivity of the human body (2024-11-12),

4. 11509402 - Method and system for recognizing a user during a radio communication via the human body (2022-11-22),

5. 10990770 - Portable object and NFC antenna thereof (2021-04-27),

6. 10833777 - Method of personalizing a secure transaction during a radio communication (2020-11-10),

7. 10728728 - Method and a device for managing contactless applications (2020-07-28),

8. 10693526 - Device and method for wireless communcation (2020-06-23),

9. 9491273 - Shell for mobile telephone with NFC functionality (2016-11-08),

10. 9291703 - Method and a device for identifying the position of a transponder (2016-03-22),

11. 9088066 - Antenna for an NFC device (2015-07-21),

12. 8761667 - Mobile telephone and NFC communication (2014-06-24),

13. 8670801 - NFC for mobile telephone (2014-03-11),

14. 6807410 - Electronic payment process and system for implementing this process (2004-10-19),

15. 5818297 - Digital demodulator for a phase-modulated signal (1998-10-06),

Title: Innovations by Philippe Levionnais: Pioneering Biometric Technology

Introduction

Philippe Levionnais, based in Caen, France, is a distinguished inventor holding an impressive portfolio of 18 patents. His innovative work primarily focuses on biometric technology and methods for user recognition, significantly contributing to advancements in security and authentication protocols.

Latest Patents

Among his latest patents is the "Method and Device for Supplying a Terminal of a First User with a Biometric Signature of a Second User." This groundbreaking method involves the use of near-field communication technology, allowing a terminal to receive a biometric signature from a second user through electromagnetic wave conduction capabilities. The system utilizes interactions between users and a transmitter device, securely storing the biometric signature for future authentication.

Another notable invention is the "Method and Device for Recognizing a User." This method employs a transceiver device that transmits an electromagnetic pulse signal and obtains a re-transmitted signal from a user when they are in proximity. By comparing this signal to reference signals, the system can accurately recognize the user, enhancing the efficiency of biometric identification.

Career Highlights

Philippe has made significant contributions to leading companies in the telecommunications sector, including Orange and France Telecom. His experience within these organizations has equipped him with the knowledge and expertise necessary to pioneer innovative solutions in user authentication and biometric technologies.

Collaborations

During his career, Philippe has collaborated with notable professionals such as David Picquenot and Olivier Lepetit. These collaborations have likely influenced his inventive approach and contributed to the development of his various patents.

Conclusion

Philippe Levionnais stands out as an influential inventor in the realm of biometric technology. His patents not only highlight his innovative capabilities but also demonstrate his commitment to enhancing security and user recognition processes. With a strong background and valuable collaborations, Philippe continues to push the boundaries of technology in meaningful ways.

This text is generated by artificial intelligence and may not be accurate.