Changguang Chenspectrum spectral analysis technology to help industrial sorting to solve the technical blockage

Multi-spectral image acquires the spatial dimension information of the object as well as its spectral information, and compared with the traditional RGB image, multi-spectral image can provide richer image information and better reflect the various optical features of the image, which has a broader application prospect.

The main application direction for all kinds of sorting industry, plastics, tobacco, garbage is currently the focus of the direction, potentially skin testing, medical testing, tea, peanuts and so on.

Plastic sorting applications -

It can be applied in industrial scenarios such as plastic sorting, and has great application prospects in the field of fluorescent anti-counterfeiting.

Plastic Sorting

Tobacco type, impurity discrimination sorting application -

Detection of biochemical composition of tobacco, discrimination of tobacco types, identification of tobacco impurities.

Tobacco biochemical composition, tobacco type identification, impurity identification

Fruit and vegetable sorting applications -

Applied to fruit black and white spots, bruise damage, fruit ripeness identification and sugar level detection.

Quickly identify areas of fruit damage

Sorting for other applications -

Not only in the above areas, but also in waste separation, mixed waste paper separation, waste derived fuel purification, e-waste, etc.