It can be widely used for fruit and vegetable sorting in farmers, food processing plants, large fruit and vegetable supermarkets, and other industries. Mainly sorting weight, size, shape, pattern, color, defects, etc. Non destructive testing of the internal quality of fruits and vegetables, in addition to sugar content, can also detect internal browning, sugar content, etc; The fruit and vegetable sorting machines all adopt a personalized customization mode, and each device is customized based on the customer's factory area, daily processing capacity, required functions, business mode, and other comprehensive conditions.
项目 |
性能指标 |
Technical features |
Using AOI machine vision and near-infrared spectroscopy technology for detection and sorting |
The fruit sorting system based on machine vision and AI deep learning technology has the advantages of non-destructive, good stability, high reliability, high repeatability, high efficiency, high accuracy, and high economic benefits compared to manual screening and mechanical screening |
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Based on AI deep learning technology, self-learning of product specifications can reduce the difficulty of device operation and maintenance |
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Running speed |
>14/channel/second check |
Scope of application |
Including but not limited to tomatoes, apples, citrus fruits, navel oranges, plums, winter dates, cherry tomatoes, etc |
Mainly sorting weight, size, shape, pattern, color, and defects |
Defect image