Smartphone-based spectral barcode and its application

Un Jeong Kim; Suyeon Lee; Hyochul Kim; Young-Geun Roh; Hojung Kim; Hyuck Choo; Yeonsang Park

doi:10.1117/12.2632900

3 October 2022 Smartphone-based spectral barcode and its application

Un Jeong Kim, Suyeon Lee, Hyochul Kim, Young-Geun Roh, Hojung Kim, Hyuck Choo, Yeonsang Park

Proceedings Volume PC12197, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XX; PC121971E (2022) https://doi.org/10.1117/12.2632900
Event: SPIE Nanoscience + Engineering, 2022, San Diego, California, United States

Abstract

Miniaturization of optical spectrometers has recently drawn a lot of attention due to the increasing needs of portable characterization systems for scientific, industrial, and consumer applications. At the same time, smartphones have technically evolved to become an everyday, ubiquitous device that provides numerous useful applications to consumers. Combining optical spectrometer and smartphone could lead to an explosion of new applications, especially in healthcare, biometrics, and food inspections, and change our daily life, making it more convenient, independent, and hyper-personalized. In this work, we have developed a smartphone spectrometer in the visible and near infrared (NIR) ranges by directly integrating a 2 dimensional periodic array of band-pass filters on top of the smartphone’s image sensor. Each band pass filter is a silicon resonator consisting of a pair of Si/SiO₂ distributed Bragg reflectors (DBR), where each resonator’s transmitting wavelength is set by adjusting the thickness of the center Si layer. The DBR contains alternating, vertically-stacked TiO2 and SiN films with variable thicknesses while the top and bottom of the DBR were made of Al and Cu or Al reflectors for the visible and NIR ranges, respectively. The fabrication process was completely CMOS-compatible. Using this smartphone spectrometer, we have proposed the concept of artificial-intelligence-powered spectral barcode for material identification and successfully demonstrated its use in drug identification. The accuracy of correctly identifying the type of drugs was ~99%. In addition, the smartphone spectrometer has also proven to correctly distinguish beef into three different classes according to the freshness.

Conference Presentation

Citation Download Citation

Un Jeong Kim, Suyeon Lee, Hyochul Kim, Young-Geun Roh, Hojung Kim, Hyuck Choo, and Yeonsang Park "Smartphone-based spectral barcode and its application", Proc. SPIE PC12197, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XX, PC121971E (3 October 2022); https://doi.org/10.1117/12.2632900

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Sensing systems

Spectrometers

Bandpass filters

Food inspection

Image sensors

Luminescence

Medicine

Show All Keywords

Keywords/Phrases

Search In:

Publication Years