Ai Deep Learning Shellfish Optical Sorter-Track-Type, For Seafood.

Application: Specifically designed for sorting shelled or dehulled products such as snail meat, shellfish meat, and other seafood meats.

Core Technology: Utilizes AI deep learning combined with high-resolution cameras to distinguish quality products from impurities based on color, shape, and texture.

Primary Functions: Effectively removes shell fragments, foreign materials (stones, wood chips), deteriorated meat, substandard products, and other defects.

Material Adaptability: Engineered for complex materials that are irregular in shape, fragile, and surface-moist. The track-type conveyor system ensures stable material flow, preventing tumbling and overlapping, thereby guaranteeing consistent and reliable identification performance.

High-Precision Identification: Equipped with AI deep learning algorithms capable of establishing dedicated sorting models to accurately identify subtle defects in color, texture, and other quality parameters.

Application Fields: Widely used in snail noodle processing, deep processing of aquatic products, prepared seafood dishes, and other food processing industries.