Bad chili powder, non-destructive and non-contact identification

게시됨 2025년 10월 28일

Tridge 요약

[Hankuk Nong-eom Sinmun, Reporter Seo Sang-hyeon] A technology utilizing AI (artificial intelligence) and imaging technology has been developed to detect defective red pepper powder in a non-destructive, non-contact manner. The World Kimchi Research Institute (Director Jang Hae-chun) announced on October 27 that it has developed a technology that combines hyperspectral imaging technology and AI technology to determine the presence of defective ingredients in red pepper powder. According to the announcement, existing methods for inspecting defective red pepper powder can achieve high accuracy but destroy the sample and take more than 1-2 days for analysis, which limits real-time field inspections and mass sample testing. To address this, the World Kimchi Research Institute has developed a technology in the short-wave infrared region of hyperspectral imaging.

원본 콘텐츠

A technology utilizing AI and imaging technology has been developed to determine defective red pepper powder in a non-destructive, non-contact manner. On October 27, the World Kimchi Research Institute (Director Jang Hae-chun) announced the development of a technology that combines hyperspectral (ultra-spectral) imaging technology and artificial intelligence technology to determine the presence of defective ingredients in red pepper powder. According to this, the existing method of inspecting defective red pepper powder can achieve high accuracy but destroys the sample and takes more than 1-2 days for analysis, which limits on-site real-time inspection and mass sample testing. To address this, the World Kimchi Research Institute has built an AI-based analysis model that can precisely predict the presence of defective ingredients using only the surface reflection spectrum of red pepper powder through hyperspectral imaging technology in the short-wave infrared region. By analyzing ...
출처: Agrinet

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