Robotics

Summary

Robotic systems enable precise marking and removal of defective areas, reducing manual intervention, improving accuracy, and ensuring seamless integration with inspection and cutting processes for higher operational efficiency.

Need

• Robotic arms with appropriate end-effectors for marking/removal
• High-speed cameras and AI-based vision algorithms
• Label applicators and barcode scanners
• Integration with MES/production tracking and cutting systems
• Safety systems and machine guarding

Existing Process

In many production lines defect detection and marking are handled manually or with semi-automated tools. Operators visually inspect rolls, apply tags or marks by hand, and sort fabric for rework. This approach is slow, inconsistent across shifts, and often misses defects or applies labels inaccurately, increasing fabric waste and breaking traceability between inspection and cutting processes.

Proposed Process

Robotic systems combined with machine vision detect defects and precisely mark or remove defective areas in real time. Robots can apply automated labels, read barcodes, and perform pick-and-place removal of faulty patches without slowing down the line. When integrated with inspection and cutting systems, robotics enable dynamic exclusion of defective zones from cutting plans, tighten traceability by updating MES at the point of inspection, and reduce human error. The outcome is lower material waste, faster throughput, and more consistent quality control.