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nLine – AI-Supported Quality Control

nLine – AI-Supported Quality Control
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nLine – AI-Supported Quality Control

Product catalog summary
Specifications and Product Details
  • Defect Classification: The system classifies defects by type, including OCR/font issues, marking, codes, lettering, serial numbers, and color detection to ensure consistency.
  • Complex Defect Detection: Capable of identifying breaks, cracks, cuts, holes, dents, pimples, deformations, inclusions, pits, etc.
  • Surface Quality Inspection: Provides a 360° analysis of potential quality defects on the entire surface.
  • Hardware and Software: High-performance hardware allows real-time detection at high production speeds. Cutting-edge AI software processes data quickly and securely without a cloud connection.
  • User-Friendly Interface: The system can be taught in minutes using master samples.
Product Variants
  • nLine S: Product diameter of 0.020 – 0.079 in (0.5 – 2.0 mm) with a speed of 984 ft/min (300 m/min).
  • nLine M: Product diameter of 0.079 – 1.18 in (2.0 – 30 mm) with a speed of 1,640 ft/min (500 m/min).
  • nLine L: Product diameter of 1.18 – 6.50 in (30 – 165 mm) with a speed of 328 ft/min (100 m/min).
Key Features
  • 24/7 Operation: The system is consistently operational.
  • Interfaces: Supports PROFIBUS, PROFINET, OPC UA.
  • Manufacturing: Engineered and manufactured in Munich, Germany.
  • Coverage: Provides 100% seamless product surface checks during production runs.
  • Maintenance: Requires minimal cleaning and maintenance.
  • Integration: All-in-one device with software and hardware from a single source, allowing seamless integration into existing quality control processes.
  • Non-Contact Measurement: Ensures no damage or impact to the product.
  • Controllability: Can be controlled via built-in touchscreen, network integration, or industrial interface.
Contact Information
  • nLine GmbH: Muenchener Str. 14, 85540 Haar (Munich), Germany. Phone: +49 89 21 2000, Email: [email protected]
  • nLine USA Office: 1201 Wesemann Dr., West Dundee, IL 60118. Phone: +1 224 449 2546, Email: [email protected]
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Catalog excerpts

nLine – AI-Supported Quality Control-1

nLine – AI-Supported Quality Control for extruded and other cylindrical products Highlights Surface Quality Inspection 360° analysis of potential quality defects on the entire surface High-Performance Hardware Real time detection at high production speeds Cutting-Edge AI Software No cloud connection required; fast and secure data processing User Friendly – Teach and Go Teach the system in minutes with master samples Anomaly Detection Corte: Cut: 8.48.4 mm mm Detect complex defects: Breaks, cracks, cuts, holes, dents, pimples, deformations, inclusions, pits, etc. Color Detection Available soon Available soon Marking, codes, lettering, serial numbers Ensure color consistency Classify defects by type nLine GmbH Muenchener Str. 14 | 85540 Haar (Munich), Germany nLine USA Office | Warehouse & Service 1201 Wesemann Dr. | West Dundee | IL 60118 Phone: +49 89 21 2000 | E-Mail: [email protected] | Web: www.nline.ai Phone: +1 224 449 2546 | E-Mail: info-US@nline.

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nLine – AI-Supported Quality Control-2

versatile and suitable for all kinds of surfaces 0.020 - 0.079 in 0,5 - 2,0 mm Product speed: Product speed: Product speed: Key FeaturesAll-in-one Device Software and hardware from a single source; seamless integration into existing quality control processes Non-Contact Measurement No damage or impact to the product Ready for Use 24/7 Consistently operating system 100% Coverage Seamless check of product surface during production runs Low Maintenance Minimal cleaning and maintenance required Controllability Via built-in touchscreen, network integration or industrial interface IO/Interfaces PROFIBUS,...

 Open the catalog to page 2

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*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.