{"id":2810,"date":"2025-06-23T11:12:31","date_gmt":"2025-06-23T09:12:31","guid":{"rendered":"https:\/\/irtnanoelec.fr\/?post_type=programme&p=2810"},"modified":"2026-04-17T18:17:15","modified_gmt":"2026-04-17T16:17:15","slug":"smart-imager-capteurs-dimages-intelligents","status":"publish","type":"programme","link":"https:\/\/irtnanoelec.fr\/en\/programme\/smart-imager-capteurs-dimages-intelligents\/","title":{"rendered":"Advanced Smart Vision"},"content":{"rendered":"
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<\/span> Capteurs de vision intelligents<\/h2>

Dans le cadre du programme \u00ab Advanced Smart Vision \u00bb de l’IRT Nanoelec, l’objectif est de d\u00e9velopper des solutions et des technologies innovantes afin de mettre en place de nouveaux syst\u00e8mes de vision intelligente avanc\u00e9e reposant sur des capteurs CMOS innovants, de nouveaux radars d’imagerie RF et la mise en \u0153uvre de l’IA en p\u00e9riph\u00e9rie. Ce programme permettra de d\u00e9velopper \u00e0 la fois les technologies cl\u00e9s de silicium 3D indispensables aux architectures multicouches, \u00e0 l’int\u00e9gration h\u00e9t\u00e9rog\u00e8ne et \u00e0 la mise en \u0153uvre de l’IA en p\u00e9riph\u00e9rie, ainsi que les outils et m\u00e9thodologies de CAO associ\u00e9s n\u00e9cessaires \u00e0 la construction de ces architectures complexes. Il s’agit l\u00e0 d’une v\u00e9ritable avanc\u00e9e et d’un changement de mentalit\u00e9, car la construction et la combinaison de diverses solutions d’imagerie avanc\u00e9es enrichies par l’IA en p\u00e9riph\u00e9rie gr\u00e2ce \u00e0 l’int\u00e9gration h\u00e9t\u00e9rog\u00e8ne et au conditionnement avanc\u00e9 constituent un d\u00e9fi de taille. Tous ces d\u00e9veloppements ouvriront la voie \u00e0 de nouvelles applications et opportunit\u00e9s de march\u00e9 et contribueront \u00e0 renforcer la comp\u00e9titivit\u00e9 des partenaires industriels impliqu\u00e9s dans le projet.<\/p>\n

Le programma SVA int\u00e8gre la plateforme multispectrale Addvisia (voir ci dessous).<\/p>\n<\/div>

\n Rapport d’activit\u00e9 2025<\/a>En savoir plus sur les capteurs d’images intelligents<\/a> <\/div>\n <\/div>\n \n \n <\/div>\n <\/div>\n <\/section>\n
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<\/span>Addvisia : imagerie multispectrale<\/h2>

Les technologies d\u2019imagerie servent un nombre toujours croissant d\u2019applications dans une vari\u00e9t\u00e9 infinie de domaines. Cependant, choisir et tester des syst\u00e8mes adapt\u00e9s \u00e0 un contexte donn\u00e9 peut \u00eatre complexe et chronophage, notamment lorsqu\u2019il s\u2019agit de capteurs de nouvelle g\u00e9n\u00e9ration, ou lorsque votre organisation n\u2019est pas habitu\u00e9e aux usages des imageurs et \u00e0 leur int\u00e9gration. Le d\u00e9fi est encore plus grand lorsque plusieurs capteurs h\u00e9t\u00e9rog\u00e8nes doivent fonctionner en parall\u00e8le et que les donn\u00e9es doivent \u00eatre trait\u00e9es \u00e0 la vol\u00e9e et post-trait\u00e9es.<\/p>\n

Les fabricants de composants souhaitent \u00eatre au c\u0153ur des probl\u00e9matiques qui peuvent \u00e9merger du terrain. Leur ambition est d\u2019anticiper les usages futurs susceptibles d\u2019impacter les roadmaps de d\u00e9veloppement produits en fonction des besoins des utilisateurs finaux.<\/p>\n

Port\u00e9 par une \u00e9quipe du CEA et issu d\u2019une initiative de l\u2019IRT Nanoelec, le hub de diffusion technologique Addvisia anime une communaut\u00e9 d\u2019int\u00e9r\u00eat sur le th\u00e8me de l\u2019imagerie multimodale et multispectrale afin d\u2019explorer tout le potentiel des imageurs combin\u00e9s et identifier de nouvelles applications.<\/p>\n

Au c\u0153ur du hub, une plateforme de test multi-imageurs facile d\u2019acc\u00e8s et en \u00e9volution continue. Cette plateforme modulaire r\u00e9unit fournisseurs de technologies, int\u00e9grateurs et utilisateurs autour d\u2019objectifs communs : mieux comprendre pourquoi et comment les imageurs peuvent \u00eatre combin\u00e9s pour de nouveaux usages, dans un environnement d\u2019exp\u00e9rimentation agile.<\/p>\n<\/div>

\n D\u00e9couvrez Addvisia<\/a> <\/div>\n <\/div>\n \n \n <\/div>\n <\/div>\n <\/section>\n
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Vision<\/p>\n<\/td>

Le passage des imageurs aux capteurs de vision g\u00e9n\u00e8re de nouvelles opportunit\u00e9s de march\u00e9 \u2013 Lire\u00a0ici<\/a>.<\/p>\n<\/td><\/tr>

Ambition<\/p>\n<\/td>

Fournir des blocs de construction mat\u00e9riels et logiciels cl\u00e9s, pour les valider \u00e0 travers des d\u00e9monstrations allant des v\u00e9hicules d\u2019essai et des preuves de concept au prototypage d\u2019un imageur intelligent multicouche<\/p>\n

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Mission<\/p>\n<\/td>

\u2022 Technologies d\u2019empilements 3D Intelligence artificielle et gestion de donn\u00e9es embarqu\u00e9es
\n\u2022 Nouvelles architecture \u00e9lectroniques<\/p>\n<\/td><\/tr>

Partenaires<\/p>\n<\/td>

CEA, Grenoble INP-UGA, Lynred, Prophesee, Siemens EDA, STMicroelectronics<\/p>\n<\/td><\/tr><\/tbody> <\/table>\n <\/div>\n <\/div>

Vision<\/p>\n<\/div>

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Le passage des imageurs aux capteurs de vision g\u00e9n\u00e8re de nouvelles opportunit\u00e9s de march\u00e9 \u2013 Lire\u00a0ici<\/a>.<\/p>\n<\/div><\/div><\/div>

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Ambition<\/p>\n<\/div>

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Fournir des blocs de construction mat\u00e9riels et logiciels cl\u00e9s, pour les valider \u00e0 travers des d\u00e9monstrations allant des v\u00e9hicules d\u2019essai et des preuves de concept au prototypage d\u2019un imageur intelligent multicouche<\/p>\n

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Mission<\/p>\n<\/div>

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\u2022 Technologies d\u2019empilements 3D Intelligence artificielle et gestion de donn\u00e9es embarqu\u00e9es
\n\u2022 Nouvelles architecture \u00e9lectroniques<\/p>\n<\/div><\/div><\/div>

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Partenaires<\/p>\n<\/div>

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CEA, Grenoble INP-UGA, Lynred, Prophesee, Siemens EDA, STMicroelectronics<\/p>\n<\/div><\/div><\/div>

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Eric Ollier, Directeur du programme Nanoelec\/Smart Imager (c) P. Jayet\/CEA<\/div> <\/div>\n
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<\/span>Vos contacts pour ASV<\/h2>

Le programme Nanoelec\/Advanced Smart Vision est dirig\u00e9 par Eric Ollier (c) P.Jayet\/CEA<\/p>\n<\/div>

\n Eric Ollier<\/a> <\/div>\n <\/div>\n \n \n <\/div>\n <\/div>\n <\/section>\n\n
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\n \"\" <\/div>\n <\/a>\n Le programme Nanoelec\/Advanced Smart Vision est dirig\u00e9 par Eric Ollier (c) P.Jayet\/CEA \n \n
\n Eric Ollier<\/a> <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/section>\n\n


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