1) Using exclusive high-definition, high-speed, high-resolution cameras and intelligent visual image acquisition and data analysis, it deeply identifies fruits of different grades, discolored particles and impurities, and has excellent sorting;

2) Using multi-dimensional model coupling algorithm to intelligently analyze fruit shape, wrinkles, peeling, etc;

3) Using deep learning dynamic modeling, real-time restoration of samples, achieving classification and sorting of high-quality, common, and defective fruits.

1) Excellent industrial design, high space utilization, and multi line sharing to meet high output;

2) The system has a user-friendly control interface, convenient operation, simplified teaching, and is easy to learn and use;

3) Intelligent statistical analysis data system, combined with neural network algorithms, artificial intelligence brain learning, excellent fruit grading scheme.

1) The output can be customized and adjusted in real-time according to actual needs. The overall production capacity is excellent, with a fruit loss rate of less than 1%;

2) High end industrial control computers have stable performance, and their powerful processing capabilities provide reliable guarantees for rapid identification.