On the 30th, it was learned from Westlake University that Westlake Intelligent Vision Technology (Hangzhou) Co., Ltd., incubated by the university, has recently developed the first domestic hyperspectral imaging camera using single exposure compressed spectral imaging technology. This camera has achieved innovation in intelligent imaging systems through breakthroughs in underlying optical hardware and algorithms, forming a new generation of machine vision perception systems based on artificial intelligence computing imaging. Compared to previous image acquisition methods, a major breakthrough in hyperspectral imaging technology is' seeing clearer ', like equipping cameras with' sharp eyes'. ”Yuan Xin, founder of the company and head of the Perception and Computational Imaging Laboratory at the School of Engineering, Xihu University, said. Hyperspectral imaging cameras can divide light into over 100 different spectral bands, covering visible to near-infrared wavelengths from 400-1000 nanometers. Single frame acquisition can obtain 100 continuous spectral channel information, with an image resolution of no less than 1024 × 1024 pixels and very clear details. ”Yuan Xin said that this hyperspectral imaging camera can uncover the truth of substances that are invisible to the naked eye by analyzing their spectral characteristics. Specifically, this hyperspectral imaging camera can identify early features of pests and diseases on leaves; Distinguishable signs of algae proliferation, traces of heavy metal pollution, and signs of chemical substance dissolution in water bodies; It can also quickly screen for crop diseases in the field and locate areas of pesticide enrichment, replacing traditional time-consuming and labor-intensive sampling and testing. At present, the camera has been applied in fields such as smart agriculture, environmental monitoring, and power inspection, and continues to expand towards industrial quality inspection, medical research, and other directions. (New Society)
Edit:XunTing Responsible editor:LiuKaiEn
Source:Science and Technology Daily
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