Machine Vision with a CMOS-Based Hyperspectral Imaging Sensor Enables Sensing Meat Freshness

Imaging spectral information of materials and analysis of its properties have become an intriguing tool for consumer electronics used for food inspection, beauty care, etc. Those sensory physical quantities are difficult to quantify. Hyperspectral imaging cameras, which capture the figure and spectr...

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Bibliographic Details
Main Author:	Suyeon Lee (7314479) (author)
Other Authors:	Hyochul Kim (2103967) (author), Seokin Kim (20475116) (author), Hyungbin Son (1619236) (author), Jeong Su Han (20475119) (author), Un Jeong Kim (1423705) (author)
Published:	2024
Subjects:	Medicine Physiology Biotechnology Inorganic Chemistry Science Policy Space Science Environmental Sciences not elsewhere classified Astronomical and Space Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified spectral information simultaneously sensory physical quantities quadratic component analyses nondestructive remote sensing measurable physical quantity employing linear discriminant hyperspectral imaging system hyperspectral imaging cameras unknown freshness state consumer electronics used advanced machine vision consumer electronics machine vision hyperspectral data meat freshness machine learning freshness index strong correlation meat fluorescence intriguing tool including refrigerators human life good candidate food inspection e ., decision boundary beauty care bacterial density artificial eye
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Machine Vision with a CMOS-Based Hyperspectral Imaging Sensor Enables Sensing Meat Freshness

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