Changguang Chenspu’s spectral analysis technology helps overcome technical bottlenecks in industrial sorting.
Multispectral images not only capture spatial information about objects but also provide their spectral information. Compared with traditional RGB images, multispectral images offer richer image data and better reflect various optical characteristics of the image, holding great potential for a wide range of applications.
The primary application areas are various sorting industries. Currently, plastics, tobacco leaves, and waste are the key focus areas, with potential applications also including skin detection, medical diagnostics, tea, and peanuts.
Plastic Sorting Applications—
It can be applied in industrial scenarios such as plastic sorting and also holds great potential for applications in the field of fluorescent anti-counterfeiting.
Plastic sorting
Application of Tobacco Leaf Variety and Impurity Identification and Sorting——
Detection of biochemical components in tobacco, identification of tobacco varieties, and recognition of impurities in tobacco.
Tobacco leaf biochemical composition, identification of tobacco leaf types, and impurity detection
Fruit and Vegetable Sorting Applications—
Applied to the identification of black and white spots on fruits, bruise damage, fruit ripeness assessment, and sugar content detection.
Quickly identify damaged areas of fruit
Sorting in other application areas—
Not only in the areas mentioned above, but also including waste sorting, mixed waste paper sorting, purification of refuse-derived fuels, and electronic waste, among others.
