Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

SAVE: Spectrum-Aided Visual Enhancement for AI-Based Skin Cancer Detection.

Diagnostics (Basel, Switzerland)·2026
Same author

Efficacy of Spectral-Aided Visual Enhancer in Classification of Esophageal Cancer.

Cancers·2026
Same author

Eco-Friendly Copper Oxide Nanoparticles Incorporated Polyvinylidene Difluoride Electrospun Nanofibers as Wearable Piezoelectric Nanogenerator.

Polymers·2026
Same author

Modeling the Influence of Large Particles on Optical Properties of Nuclear Cataracts: Insights from Enhanced LOCS III-Based Computational Analysis.

Diagnostics (Basel, Switzerland)·2026
Same author

Dementia Detection via Retinal Hyperspectral Imaging and Deep Learning: Clinical Dataset Analysis and Comparative Evaluation of Multiple Architectures.

Bioengineering (Basel, Switzerland)·2025
Same author

Artificial Intelligence-Assisted Dermatologic Screening: Epidemiology and Clinical Features of Basal Cell Carcinoma, Squamous Cell Carcinoma, Seborrheic Keratosis and Actinic Keratosis.

Bioengineering (Basel, Switzerland)·2025

Related Experiment Video

Updated: Aug 8, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.5K

Automatic Counterfeit Currency Detection Using a Novel Snapshot Hyperspectral Imaging Algorithm.

Arvind Mukundan1, Yu-Ming Tsao1, Wen-Min Cheng2,3

  • 1Department of Mechanical Engineering, Advanced Institute of Manufacturing with High Tech Innovations (AIM-HI) and Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan.

Sensors (Basel, Switzerland)
|February 28, 2023
PubMed
Summary
This summary is machine-generated.

This study developed a low-cost, portable hyperspectral imaging system using Raspberry Pi to differentiate Taiwanese currency. The system effectively distinguishes genuine from counterfeit 100 NTD notes using specific wavelength analysis.

Keywords:
Raspberry Pifake currencyhyperspectral imagingmean gray valueregion of interest

More Related Videos

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
07:34

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.1K
Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

14.7K

Related Experiment Videos

Last Updated: Aug 8, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.5K
Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
07:34

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.1K
Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

14.7K

Area of Science:

  • Spectroscopy and Imaging Technologies
  • Applied Physics and Engineering
  • Forensic Science and Authentication

Background:

  • Counterfeit currency poses a significant economic challenge, necessitating advanced detection methods.
  • Existing authentication techniques may lack portability, affordability, or comprehensive spectral analysis capabilities.
  • Hyperspectral imaging (HSI) offers a powerful, non-destructive approach for material characterization and authentication.

Purpose of the Study:

  • To design and implement a cost-effective, snapshot-based hyperspectral imaging algorithm for currency authentication.
  • To develop a user-friendly software application for controlling the HSI system and processing image data.
  • To evaluate the efficacy of the developed HSI system in differentiating genuine and counterfeit 100 NTD Taiwanese currency notes.

Main Methods:

  • A Raspberry Pi-based hyperspectral imaging system was engineered, converting RGB images into HSI data.
  • A Windows Python application was created to manage the Raspberry Pi camera and image processing.
  • Mean gray values (MGVs) from specific regions of interest (ROIs) in genuine and counterfeit 100 NTD notes were analyzed across different wavelengths.

Main Results:

  • Genuine and counterfeit 100 NTD notes were reliably differentiated using MGV analysis in shorter wavelengths (400-500 nm).
  • Spectral similarities were observed between genuine and counterfeit notes at longer wavelengths.
  • The classification accuracy significantly improved when analyzing ROIs containing security features.

Conclusions:

  • The developed Raspberry Pi-based HSI system provides an efficient, portable, and low-cost solution for currency authentication.
  • Spectral analysis within the 400-500 nm range is crucial for distinguishing Taiwanese 100 NTD notes.
  • The system's effectiveness is enhanced by focusing on security features within the analyzed regions of interest.