Haifei CNC · All Material Intelligent Cutting

Traditional cutting processing generally relies on manual line drawing and alignment, mold stamping, and mechanical positioning cutting, which have shortcomings such as long positioning time, weak consistency of finished products, high material loss, and cumbersome product replacement and debugging. Visual recognition intelligent cutting machines are targeted to address various pain points and adapt to the current diversified processing needs. In terms of positioning accuracy, traditional manual alignment is prone to visual deviation with the naked eye. Visual machines rely on real-time visual correction to control cutting errors within a small range. Complex patterns and small trademark edges are cut neatly, and batch product size uniformity is better, reducing the occurrence of defective products.

When manually cutting and changing patterns and styles, it is necessary to re measure, trace lines, and debug equipment, which can take a long time for a single pattern change; The visual cutting machine only needs to import new pattern templates, and the system can quickly complete contour recognition before production. The efficiency of product replacement is greatly improved, making it suitable for production of scattered orders and personalized customized orders. In terms of material utilization, the intelligent system can independently optimize the layout path, avoid material stains and damaged areas for cutting, reduce corner waste, and long-term production can reduce raw material consumption costs.

In terms of manpower investment, traditional production lines require dedicated personnel to continuously align, place, and recheck. One visual equipment only needs one person to supervise the loading and unloading of materials, reducing labor pressure. Non contact cutting mode reduces tool wear and tear, and equipment maintenance frequency is lower; Simultaneously, the enclosed processing structure reduces dust splashing and improves the working environment in the workshop. Overall, the equipment has been optimized in terms of precision, efficiency, consumables, and labor, helping the machining workshop improve quality and reduce costs.