BUILD YOUR OWN VISION

 

From giving sight back to the blind to touching cells or tracking space debris,

 

Since 2014, a network of researchers, start-ups and companies have shown incredible imagination and innovation using Prophesee’s neuromorphic vision technologies.

This has created an Event-Based Vision ecosystem of inventors sharing their work and ideas. Their creativity with Prophesee’s technologies inspires us.

We are gathering them here to inspire future inventors in turn, in the hope that, like the projects here, they create something new together and reveal the invisible.

 

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INVENTORS AROUND THE WORLD

April 2022

PUBLIC PROJECTS

 

CAMBRIDGE CONSULTANTS

CAMBRIDGE CONSULTANTS
29 Cambridge Science Park Milton Rd, Milton, Cambridge CB4 0DW, Royaume-Uni
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UNIVERSITÉ SORBONNE

UNIVERSITÉ SORBONNE
4 Place Jussieu, 75005 Paris, France
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GENSIGHT

GENSIGHT
74 Rue du Faubourg Saint-Antoine, 75012 Paris, France
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UNIVERSITY OF SINGAPORE

UNIVERSITY OF SINGAPORE
21 Lower Kent Ridge Rd, University Hall, Singapour 119077
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WESTERN SYDNEY UNIVERSITY

WESTERN SYDNEY UNIVERSITY
161-169 Macquarie St, Parramatta NSW 2150, Australie
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UNIVERSITY OF GLASGOW

UNIVERSITY OF GLASGOW
Glasgow G12 8QQ, Royaume-Uni
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XPERI

XPERI
5220 Las Virgenes Rd, Calabasas, CA 91302, États-Unis
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TERRANET

TERRANET
Mobilvägen 10, 223, 223 62 Lund, Sweden
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SYNSENSE

SYNSENSE
District de Pudong, Shanghai, Chine
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LANTERN LLC

October 20, 2021 Lantern successfully completed a research study for Iowa Department of Transportation in cooperation with Iowa State University. The purpose of the study was to find the latest technologies available from the #autonomousvehicles industry that could be used in highway work zones to protect workers from traffic incursions, specifically paint striping operations.

Technologies evaluated included:
1) Advanced Lidar / Camera fusion technology from AEye, Inc.
2) Radar / Camera fusion from smartmicro supplied by AutonomouStuff with computer vision algorithms developed by Lantern
3) Event cameras and their ability to augment the performance of the above from PROPHESEE

Many thanks to all the participants and to Iowa for supporting such an important project which will one day save countless lives.

LANTERN LLC
21525 Ridgetop Cir Suite 180, Sterling, VA 20166, États-Unis

October 20, 2021 Lantern successfully completed a research study for Iowa Department of Transportation in cooperation with Iowa State University. The purpose of the study was to find the latest technologies available from the #autonomousvehicles industry that could be used in highway work zones to protect workers from traffic incursions, specifically paint striping operations.

Technologies evaluated included:
1) Advanced Lidar / Camera fusion technology from AEye, Inc.
2) Radar / Camera fusion from smartmicro supplied by AutonomouStuff with computer vision algorithms developed by Lantern
3) Event cameras and their ability to augment the performance of the above from PROPHESEE

Many thanks to all the participants and to Iowa for supporting such an important project which will one day save countless lives.

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ISTITUTO ITALIANO DI TECNOLOGIA

ISTITUTO ITALIANO DI TECNOLOGIA
Via Morego, 30, 16163 Genova GE, Italie
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INDIAN INSTITUTE OF SCIENCE

INDIAN INSTITUTE OF SCIENCE
CV Raman Rd, Bengaluru, Karnataka 560012, Inde
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UNIVERSITÉ CÔTE D'AZUR

UNIVERSITÉ CÔTE D'AZUR
Campus Valrose, 28 avenue Valrose, 06108 Nice, France
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SHANGHAITECH UNIVERSITY

SHANGHAITECH UNIVERSITY
393 Huaxia Middle Rd, Pudong Xinqu, Chine, 201210
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JOHN HOPKINS UNIVERSITY

JOHN HOPKINS UNIVERSITY
Baltimore, Maryland 21218, États-Unis
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UNIVERSITY OF MARYLAND

UNIVERSITY OF MARYLAND
College Park, Maryland 20742, États-Unis
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ICATCH

ICATCH
4, No. 19-1, Chuangxin 1st Rd, Baoshan, Hsinchu County, Taïwan 308
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DMP

DMP
4-chōme-10-2 Nakano, Nakano City, Tokyo 164-0001, Japon
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RESTAR

RESTAR
2-chōme-32-3 Kitashinagawa, Shinagawa City, Tokyo 140-0001, Japon
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SUMMER ROBOTICS

SUMMER ROBOTICS
Campbell, Californie, États-Unis
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CENTURY ARKS

CENTURY ARKS
1 Chome Nishiazabu, Minato City, Tokyo 106-0031, Japon
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SONY SEMICONDUCTOR SOLUTIONS

SONY SEMICONDUCTOR SOLUTIONS
4-chōme-14-1 Asahichō, Atsugi, Kanagawa 243-0014, Japon
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DLR

DLR
Linder Höhe, 51147 Köln, Allemagne
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ETH ZÜRICH

ETH ZÜRICH
ETH Zürich Hauptgebäude, Rämistrasse 101, 8092 Zürich, Suisse
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UNIVERSITÉ TECHNOLOGIE COMPIÈGNE

UNIVERSITÉ TECHNOLOGIE COMPIÈGNE
Rue Roger Couttolenc, 60200 Compiègne, France
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AUSTRALIAN NATIONAL UNIVERSITY

AUSTRALIAN NATIONAL UNIVERSITY
Canberra Territoire de la capitale australienne 2601, Australie
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UNIVERSITÉ PARIS SACLAY

UNIVERSITÉ PARIS SACLAY
3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette, France
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UNIVERSITY OF DAYTON

UNIVERSITY OF DAYTON
300 College Park, Dayton, OH 45469, États-Unis
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UNIVERSITY OF PITTSBURGH

UNIVERSITY OF PITTSBURGH
4200 Fifth Ave, Pittsburgh, PA 15213, États-Unis
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SEOUL NATIONAL UNIVERSITY

SEOUL NATIONAL UNIVERSITY
1 Gwanak-ro, Gwanak-gu, Seoul, Corée du Sud
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LUCID

LUCID
13200 Delf Pl, Richmond, BC V6V 2A2, Canada
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IMAGO

IMAGO
Straßheimer Str. 45, 61169 Friedberg (Hessen), Allemagne
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UNIVERSITY OF FLORENCE

UNIVERSITY OF FLORENCE
Usf centro servizi informatici dell'ateneo fiorentino, P.za di San Marco, 4, 50121 Firenze FI, Italie
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TECHNISCHE UNIVERSITÄT BERLIN

TECHNISCHE UNIVERSITÄT BERLIN
Str. des 17. Juni 135, 10623 Berlin, Allemagne
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AUSTRIAN INSTITUTE OF TECHNOLOGY

AUSTRIAN INSTITUTE OF TECHNOLOGY
2444 Seibersdorf, Autriche
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GRAYSCALE AI

Grayscale AI is building neuromorphic software for ADAS applications.

As part of the Zenzic CAM Scale-Up programme, we tested our neuromorphic-based solution in ADAS scenarios on state-of-the-art automotive testbeds.

The goal was to improve automotive safety for vulnerable road users such as pedestrians or cyclists.

More about the project: https://zenzic.io/cam-scale-up/grayscale-ai/

 

GRAYSCALE AI
483 Green Lanes, London N13 4BS, UK

Grayscale AI is building neuromorphic software for ADAS applications.

As part of the Zenzic CAM Scale-Up programme, we tested our neuromorphic-based solution in ADAS scenarios on state-of-the-art automotive testbeds.

The goal was to improve automotive safety for vulnerable road users such as pedestrians or cyclists.

More about the project: https://zenzic.io/cam-scale-up/grayscale-ai/

 

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