Real-time hyperspectral video understanding via universal metasurface encoders

Maksim Makarenko; Arturo Burguete-Lopez; Qizhou Wang; Fedor Getman; Silvio Giancola; Bernard Ghanem; Andrea Fratalocchi

Real-time hyperspectral video understanding via universal metasurface encoders

Maksim Makarenko^*, Arturo Burguete-Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We here present Hyplex™, an artificial intelligent hardware and software optoelectronic platform for acquiring and processing high-resolution hyperspectral videos at 30 frames per second. We will illustrate the implementation and various applications in the field.

Original language	English (US)
Title of host publication	2023 Conference on Lasers and Electro-Optics, CLEO 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781957171258
State	Published - 2023
Event	2023 Conference on Lasers and Electro-Optics, CLEO 2023 - San Jose, United States Duration: May 7 2023 → May 12 2023

Publication series

Name	2023 Conference on Lasers and Electro-Optics, CLEO 2023

Conference

Conference	2023 Conference on Lasers and Electro-Optics, CLEO 2023
Country/Territory	United States
City	San Jose
Period	05/7/23 → 05/12/23

Bibliographical note

Publisher Copyright:
© Optica Publishing Group 2023 © 2023 The Author(s)

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Electronic, Optical and Magnetic Materials
Instrumentation
Atomic and Molecular Physics, and Optics

Cite this

Makarenko, M., Burguete-Lopez, A., Wang, Q., Getman, F., Giancola, S., Ghanem, B., & Fratalocchi, A. (2023). Real-time hyperspectral video understanding via universal metasurface encoders. In 2023 Conference on Lasers and Electro-Optics, CLEO 2023 Article AW3K.3 (2023 Conference on Lasers and Electro-Optics, CLEO 2023). Institute of Electrical and Electronics Engineers Inc..

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title = "Real-time hyperspectral video understanding via universal metasurface encoders",

abstract = "We here present Hyplex{\texttrademark}, an artificial intelligent hardware and software optoelectronic platform for acquiring and processing high-resolution hyperspectral videos at 30 frames per second. We will illustrate the implementation and various applications in the field.",

author = "Maksim Makarenko and Arturo Burguete-Lopez and Qizhou Wang and Fedor Getman and Silvio Giancola and Bernard Ghanem and Andrea Fratalocchi",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023 {\textcopyright} 2023 The Author(s); 2023 Conference on Lasers and Electro-Optics, CLEO 2023 ; Conference date: 07-05-2023 Through 12-05-2023",

year = "2023",

language = "English (US)",

series = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",

address = "United States",

}

Makarenko, M, Burguete-Lopez, A , Wang, Q, Getman, F, Giancola, S, Ghanem, B & Fratalocchi, A 2023, Real-time hyperspectral video understanding via universal metasurface encoders. in 2023 Conference on Lasers and Electro-Optics, CLEO 2023., AW3K.3, 2023 Conference on Lasers and Electro-Optics, CLEO 2023, Institute of Electrical and Electronics Engineers Inc., 2023 Conference on Lasers and Electro-Optics, CLEO 2023, San Jose, United States, 05/7/23.

Real-time hyperspectral video understanding via universal metasurface encoders. / Makarenko, Maksim; Burguete-Lopez, Arturo ; Wang, Qizhou et al.
2023 Conference on Lasers and Electro-Optics, CLEO 2023. Institute of Electrical and Electronics Engineers Inc., 2023. AW3K.3 (2023 Conference on Lasers and Electro-Optics, CLEO 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-time hyperspectral video understanding via universal metasurface encoders

AU - Makarenko, Maksim

AU - Burguete-Lopez, Arturo

AU - Wang, Qizhou

AU - Getman, Fedor

AU - Giancola, Silvio

AU - Ghanem, Bernard

AU - Fratalocchi, Andrea

PY - 2023

Y1 - 2023

N2 - We here present Hyplex™, an artificial intelligent hardware and software optoelectronic platform for acquiring and processing high-resolution hyperspectral videos at 30 frames per second. We will illustrate the implementation and various applications in the field.

AB - We here present Hyplex™, an artificial intelligent hardware and software optoelectronic platform for acquiring and processing high-resolution hyperspectral videos at 30 frames per second. We will illustrate the implementation and various applications in the field.

UR - http://www.scopus.com/inward/record.url?scp=85176308402&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85176308402

T3 - 2023 Conference on Lasers and Electro-Optics, CLEO 2023

BT - 2023 Conference on Lasers and Electro-Optics, CLEO 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 Conference on Lasers and Electro-Optics, CLEO 2023

Y2 - 7 May 2023 through 12 May 2023

ER -

Real-time hyperspectral video understanding via universal metasurface encoders

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this