Fruit grading machine 6GFDCZSP series

sorting

Chain Fruit Classifier Grading Machine Cloud recognition sorting technologyArtificial intelligence sorting technologyInfrared recognition of dark damage technologyOmni directional multi perspective visual technologyNon destructive air drying and conveying technology for fruits Internal quality inspection 1) Adopting advanced and mature imported sensors, it has multiple advantages such as high sensitivity, high signal-to-noise ratio, high speed, and high stability; 2) The sample model established using full penetration detection technology and a new dynamic modeling method is more realistic and effective. At the same time, multi-dimensional model coupling algorithm and neural network algorithm are used, and big data and deep learning methods are innovatively used to continuously optimize the model; 3) It can be used to detect internal physiological indicators such as sugar content, mold heart disease, and water heart disease. Appearance quality inspection 1) Using multiple high-resolution industrial camera lenses and a specially designed LED light source system for all-round data acquisition; 2) Using Gaussian Laplace mixture model algorithm to solve object detection in high-speed dynamic backgrounds. Using UV, H chromatography, and grayscale segmentation techniques for color recognition; 3) It can be used to detect external quality indicators such as fruit shape, color, and defects of fruits.