SMT Flexible Feeder for Pick and Place Machine | Vision-Based Automatic Loose Parts Feeding System

SMT Flexible Feeder for Pick and Place Machine | Vision-Based Automatic Loose Parts Feeding System

Brand: iTECH SMT Machines
850.00 USD In stock Buy at Merchant

High-Speed Vision Recognition | Ideal for Loose Electronic Components & High-Mix SMT Production The ITECH SMT Flexible Feeder is an advanced vision-based automatic parts feeding system designed for modern SMT production lines and pick and place machines. It replaces traditional bowl feeders and manual feeding methods by using intelligent vibration technology combined with industrial machine vision to automatically separate, orient, and present loose components for robotic picking. This system is specially designed for high-mix, low-volume manufacturing environments, where frequent product changes make traditional feeders inefficient and costly. With no need for custom tooling, the flexible feeder significantly improves production efficiency, reduces setup time, and enables fully automated handling of irregular or bulk components. No Custom Tooling Required One flexible feeder supports multiple product types without mechanical redesign or expensive molds. Vision-Based Intelligent Positioning Equipped with industrial CCD camera and smart recognition system for accurate component detection and orientation. Fast Product Changeover Switch production recipes instantly via software—no mechanical adjustment needed. Perfect for Loose & Irregular Components Ideal for connectors, metal parts, springs, shielding covers, LED lenses, and other non-tape components. Seamless SMT Integration Fully compatible with SMT pick and place machines, SCARA robots, and automated production lines.

Specifications
Size
R120M, R120MC, R200M, R300M, R400M, R500M
Variants (6)
  • R120M — 850.00 USD — In stock
  • R120MC — 850.00 USD — In stock
  • R200M — 950.00 USD — In stock
  • R300M — 1150.00 USD — In stock
  • R400M — 1500.00 USD — In stock
  • R500M — 1700.00 USD — In stock

AI Readiness

Good foundation, but some important product data is still missing.

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