Overview:
This line integrates negative pressure cyclone separation, electrostatic adsorption, vision inspection, and AI deep learning algorithms to achieve efficient cleaning, precise sorting, and accurate grading. It reduces manual intervention, controls product quality, improves production efficiency, and lowers rejection and rework rates. The system features a wide application range, removes foreign materials and complies with industry standards, and enhances food safety. Multi-module and multi-process combinations allow flexible configuration to optimize production operations. It detects color, texture, and appearance defects, removes impurities and foreign objects, and delivers precise sorting and grading. One-key start, recipe management, automation, intelligence, data recording, and traceability are all supported. This line is widely used in food industry, health supplements, agricultural products, and electronics semiconductor sectors.
Core Advantages
Wide application range, foreign material removal, regulatory compliance, and enhanced food safety.
Multi-module and multi-process combinations allow flexible matching and optimized production operations.
Detection of color, texture, and appearance defects, removal of impurities and foreign objects, and precise sorting and grading.
One-key start, recipe management, automation and intelligence, data recording, and traceability.
Product Features
This line features negative pressure cyclone separation, electrostatic adsorption, vision inspection, AI deep learning algorithms, multi-module flexible configuration, one-key start, recipe management, automated data recording, and full traceability.
Product Applications
Designed for cleaning, sorting and grading, this line is suitable for food industry, health supplements, agricultural products, and electronics semiconductor sectors to remove impurities and ensure product quality.
Precautions
Install the line on a stable, level surface. Calibrate vision and sensor systems before operation. Clean electrostatic and cyclone modules regularly. Do not exceed rated processing capacity. Disconnect power before maintenance. Follow standard cleaning procedures when switching product categories.

1. Engineering depth
Layouts are checked against your P&ID and hazard study to align interfaces, venting, and access platforms with site standards.
2. Manufacturing traceability
Material certificates and weld maps can be bundled for FAT documentation, supporting audit-ready pharmaceutical projects.
3. Lifecycle support
Spare parts kits, on-site commissioning, and remote guidance shorten startup time and keep feeding performance stable.

FAQ
Q: How does AI deep learning improve sorting accuracy compared to traditional methods?
A: AI deep learning continuously learns from product images, adapts to variations in color and texture, and improves defect detection over time, outperforming fixed-rule traditional systems.
Q: Can the line handle multiple product types without lengthy changeover?
A: Yes. Recipe management allows operators to save settings for different products. Switching recipes restores parameters instantly with minimal downtime.
Q: What types of foreign materials can this line remove?
A: It removes metals, stones, plastic fragments, discolored pieces, and other visible impurities using electrostatic adsorption, vision inspection, and cyclone separation.