For the Inventor, By the Inventor

Enter assignee name

Prophesee

Calculating rank

USPTO Granted Patents = 31

% Expired Patents = 3.2

EPO Patents = 17

Trademarks = 4

Forward Citations = 34

Loading Chart...

Loading Chart...

43 inventors (with patents filed for the assignee):

Christoph Posch (11 out of 18 patents)

Thomas Finateu (10 out of 13 patents)

Daniel Matolin (7 out of 12 patents)

4. Xavier Lagorce (7 out of 8 patents)

5. Daniele Perrone (4 out of 4 patents)

6. Amos Sironi (3 out of 3 patents)

7. Teresa Serrano Gotarredona (3 out of 5 patents)

8. Bernabé Linares Barranco (3 out of 5 patents)

9. Xavier Lagorce (3 out of 4 patents)

10. Marc Rousseau (2 out of 2 patents)

11. Stephane Valente (2 out of 18 patents)

12. Sylvain Brohan (2 out of 2 patents)

13. Artiom Tchouprina (2 out of 2 patents)

14. Manuele Brambilla (2 out of 2 patents)

15. Camilo Vejarano (1 out of 2 patents)

Core Competencies:

Event-Based Sensor

Motion Capture

Pupil Detection

Dynamic Vision Sensor

Asynchronous Imaging

Contrast Detection

Image Processing

Temporal Contrast

31 patents: Sort by Forward Citations

1. 12721517 - Pupil detection using an event-based sensor (2026-09-01),

2. 12700120 - System for determining the shape of particles in motion using an event-based camera (2026-08-04),

3. 12568193 - Method of pixel-by-pixel registration of an event camera to a frame camera (2026-03-03),

4. 12561977 - Compression method for events produced by an event-based camera (2026-02-24),

5. 12532086 - Global and cluster contrast detection in vision neuromorphic sensors (2026-01-20),

6. 12513421 - Monitoring an event queue in an event-based vision sensor to account for event bursts (2025-12-30),

7. 12513411 - Anti-flicker filter mitigation for an event-based sensor (2025-12-30),

8. 12470849 - Event sensor pixel with sensitivity and dynamic range optimization (2025-11-11),

9. 12462590 - Method for automatically adapting a pattern projection rate in an active perception system (2025-11-04),

10. 12313397 - Light source for structured light, structured light projection apparatus and system (2025-05-27),

11. 12250488 - Merged frame-based and event-bases image sensor pixel (2025-03-11),

12. 12219254 - Method, apparatus and system to combine frame image and event data (2025-02-04),

13. 12131544 - Method for capturing motion of an object and a motion capture system (2024-10-29),

14. 12063444 - Digital event encoding for operating an event-based image sensor (2024-08-13),

15. 12062217 - Method of tracking objects in a scene (2024-08-13),

Company Overview

Prophesee is a pioneering technology company based in Paris, specializing in event-based vision systems. The organization develops innovative neuromorphic vision sensors that mimic the human eye's processing capabilities, enabling real-time perception and analysis of dynamic environments. Its technology finds applications across various sectors, including automotive, robotics, and industrial automation, enhancing machine vision and enabling advanced functionalities such as object detection and tracking. Prophesee's solutions are designed to improve efficiency and responsiveness in complex visual tasks.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

31 Patents

#178 in Paris

#704 in France

#21,300 in the World

Prophesee

Forward Citations = 34

43 inventors:

Christoph Posch (11 out of 18 patents)

Thomas Finateu (10 out of 13 patents)

Daniel Matolin (7 out of 12 patents)

4. Xavier Lagorce (7 out of 8 patents)

5. Daniele Perrone (4 out of 4 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Prophesee. Retrieved from https://idiyas.com/company/prophesee

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

Loading…