Demas.AI Inspection And Rolling Machine

Demas.AI Inspection And Rolling Machine

Demas.AI Inspection And Rolling Machine

R.101-25

Technicial Specifications

Product Code: R.101-25

Traditional manufacturing processes, which rely entirely on human control are now being transformed by artificial intelligence solutions. These processes previously limited by human capabilities are showing significant progress in critical areas such as quality control, speed, energy savings, sustainability and cost in the new era. Artificial intelligence technologies that can be integrated into existing manual systems stand out with the aim of becoming a pioneer in industry operations as part of the digitized and increasingly valuable data-driven world.

The live map displaying real-time error detections has simplified process management for operators. Additionally, the defects map is made available as a report.

  • High-resolution camera.
  • Maximum speed of 50 m/min for plain fabrics.
  • Maximum speed of 50 m/min for patterned fabrics.
  • Adjustable defect sensitivity.
  • Integrated operation with ERP system.
  • Thermal camera for defect detection.
  • User-friendly interface.
  • Continuous defect tagging and monitoring system.
  • Real-time defect detection and mapping method.
  • Real-time measurement of fabric width, length and weight.
  • Intelligence reporting infrastructure with barcode printing feature.
  • Live reporting feature during streaming.
  • Real-time autonomous artificial intelligence supported surface analysis system.

For detailed information, you can visit our website www.demas.ai.

The system displays defect images and their real-time locations in front of the operator through a user-friendly interface. Detected defects are automatically classified, recorded, and visualized on an intuitive touchscreen. A dedicated quality defect map is generated for each roll, which can be thoroughly reviewed using the integrated album software. Demas.AI offers various classification and grading options, allowing rolls to be categorized based on the number, size, and location of defects as well as specific customer criteria.

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