Author: Scanway
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Hyperspectral imaging technology is a relatively new method that provides detailed images of objects and surroundings. This type of solution makes it possible to obtain information about the illumination, color and texture of each surface, which provides a more accurate analysis and understanding of the objects under study.

Spectrum of light, typical cameras see only three colors (RGB: Red, Green, Blue) while a hyperspectral camera captures the entire spectrum.
Hyperspectral imaging technology produces high-resolution images with a variety of wavelengths. Unlike traditional imaging, in which only three colors (red, green and blue) are recorded, hyperspectral imaging captures the entire electromagnetic spectrum, from ultraviolet to infrared. This provides information on various surface properties of the objects under study, such as chemical composition, humidity, temperature or density.
Where is hypertextile technology being used?
Hyperspectral imaging technology is used in many fields, such as medicine, earth sciences, agriculture, industry, military and others. In medicine, hyperspectral imaging can be used to diagnose skin diseases, cancers and other diseases. In agriculture, hyperspectral imaging can analyze crops to detect diseases, pests and other crop problems. In industry, hyperspectral imaging is used to verify product quality, as well as for quality control and analysis in production processes.
Although hyperspectral imaging has many advantages, it requires specialized knowledge and equipment to process the data. Because of the large amount of data, analyzing it can be time-consuming and require a lot of computing power. Therefore, artificial intelligence algorithms such as machine learning are often used to help analyze multispectral images and extract the desired information from them.

Testing the fat content of bacon using a hyperspectral camera.
Scanway offers innovative hyperspectral imaging and data analysis solutions that find applications in both industry and space.
Scanway also offers hyperspectral data analysis software to extract information about chemical composition, humidity, temperature and other surface properties from hyperspectral images. The software uses artificial intelligence algorithms, such as machine learning, to help analyze large data sets and extract the desired information from them.
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