Fruit grading machine TPS

rollersorting

Disk Fruit Classifier Grading Machine Cloud recognition sorting technologyArtificial intelligence sorting technologyInfrared recognition of dark damage technologyOmni directional multi perspective visual technology Internal quality inspection 1) Using infrared light sources to illuminate fruits; 2) Receive transmitted light carrying information about the fruit for analysis; 3) By establishing a model of fruit information, the system conducts deep learning on the model data to improve the accuracy of sorting; 4) It can be used to detect internal physiological indicators such as sugar content and mold heart disease. Appearance quality inspection 1) Adopting omnidirectional diffuse reflection LED for uniform illumination, with no dead corners; 5 million pixel industrial camera with a resolution of 0.1 square millimeters; 2) Using multiple technologies such as CMOS image processing and pattern recognition, and using high-performance Advantech industrial control computers for image data processing; 3) It can accurately sort the surface color and shape of fruits. Weight and density testing 1) By using imported high-speed and high-precision sensors, individual sensors, and specially designed fruit cups, fast and accurate weight readings are ensured, avoiding measurement errors; 2) Unique dynamic calibration and temperature compensation functions to avoid measurement errors caused by environmental differences;