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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Related Experiment Video

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Exploring Fast Fingerprint Construction Algorithm for Unmodulated Visible Light Indoor Localization.

Chenqi Shi1, Xinyv Niu1, Tao Li1

  • 1School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.

Sensors (Basel, Switzerland)
|December 22, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel algorithm for visible light indoor positioning, simplifying database construction and enabling repeated use across environments. The method achieves high accuracy, with 95% of cases under 10 cm, addressing deployment challenges.

Keywords:
fingerprint locationimage processvisible light indoor position

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Robotics

Background:

  • Visible light indoor positioning systems are gaining attention but face challenges with deployment difficulty and high costs.
  • Existing methods often require complex setup and infrastructure, limiting widespread adoption.

Purpose of the Study:

  • To propose a new fingerprint construction algorithm to simplify visible light indoor positioning.
  • To demonstrate the rapid construction and repeated usability of a visible light fingerprint database in diverse environments.
  • To achieve high-precision indoor localization with reduced deployment complexity.

Main Methods:

  • Developed a novel fingerprint construction algorithm for visible light indoor positioning.
  • Conducted theoretical derivations to prove the method's feasibility.
  • Performed extensive experiments in two real indoor environments to validate the approach.

Main Results:

  • Successfully demonstrated reverse fingerprinting capabilities.
  • Achieved positioning accuracy of less than 10 cm in 95% of experimental cases.
  • Validated the rapid construction and repeated use of the fingerprint database across different environments.

Conclusions:

  • The proposed algorithm significantly simplifies visible light indoor positioning system deployment.
  • The method offers a cost-effective and efficient solution for high-accuracy indoor localization.
  • The fingerprint database's reusability enhances the practicality and scalability of visible light positioning.