Vision Application of LabVIEW: IGUI for Face and Pattern Detection in Real Time

Fawwaz, Faris; Dunggio, Burhanudin; Wulandari, Putri; Rahyadi, Irmawan; Astharini, Dwi

doi:10.1109/icimtech50083.2020.9211282

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…LabVIEW is a software tool designed for the development of applications intended for monitoring, control, and design using graphical programming (Korgin et al, 2019); its distinctive feature lies in providing a user-friendly environment, by adopting a graphical approach, Lab-VIEW simplifies the creation of complex applications by replacing extensive lines of code with an intuitive visual environment (Sivaranjani et al, 2021). LabVIEW as a virtual instrument mimicking instrument simulation software can display real-time object detectors with IGUI design (Fawwaz et al, 2020). LabVIEW has modules developed for AV, among these modules are Vision Acquisition and Vision Assistant (NI, 2023); in addition, it has great compatibility with other programs, cameras, and vision systems.…”

Section: Ecological Engineering and Environmental Technologymentioning

confidence: 99%

Characterization of Metallic Gold Nanoparticles in a Colloidal State by Artificial Vision

Carbajal Morán,

Galván Maldonado,

Márquez Camarena

2024

Ecol. Eng. Environ. Technol.

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Gold nanoparticles in their colloidal state have different colors, and the equipment for their characterization, such as UV-Vis spectrophotometers, scanning electron microscopy (SEM), and transmission electron microscopy (TEM), has high costs. The research aimed to characterize metallic gold nanoparticles by artificial vision based on the color of the samples in the colloidal state. The sensor used for the sampling was a 50 MP triple-lens camera with the optical image stabilization (OIS) of a smartphone. The Vision Acquisition and Vision Assistant blocks in the NI LabVIEW platform were used to implement an artificial vision device. The camera interface was used to identify the color of each of the 10 samples of colloidal gold nanoparticles produced by the YAG laser and chemical reduction in 15 ml of deionized water. The characterization consisted of the determination of the size and concentration of the gold nanoparticles based on their color, which ranged from pink to red wine. As a result, the artificial vision device adequately identified the color of the metallic gold nanoparticles in a colloidal state with a certainty of more than 95%, allowing the nanoparticles to be adequately characterized. Therefore, it is concluded that artificial vision adequately characterized gold nanoparticles' wavelength, absorbance, diameter, and concentration.

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Section: Ecological Engineering and Environmental Technologymentioning

confidence: 99%