RH ENGINEERING GMBH & CO. KG

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RH ENGINEERING GMBH & CO. KG
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As an image processing specialist with over 20 years' experience, we develop automated optical inspection systems based on one of the best software products in industrial image processing. By combining our expertise with cutting-edge technologies, we are always able to meet the requirements of modern quality assurance and quality management. Our solutions enable you to cover all areas of optical quality inspection with completely automated solutions – whether for checking presence, surfaces, for completeness, codes or colours, taking measurements, guiding robots or any other type of optical quality control. Interactive point-and-click programming without having to enter source codes makes it quick and easy to create customised testing programs. Our wide range of plug-in software extensions, particularly in the areas of artificial intelligence, object recognition, anomaly detection and edge detection take the possibilities for quality testing to the next level. We therefore ensure quick wins and also lower costs. Our solutions offer the highest level of quality assurance in industrial manufacturing. We help to make your processes more efficient and to improve product quality over the long term. Please don't hesitate to contact us for additional information or individual consultation – we look forward to working with you to find innovative solutions for your business.

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RH ENGINEERING GMBH & CO. KG

Marktstrasse 1

73079 Süßen - Nemčija

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Organizacija

  • Leto ustanovitve
    2003
  • Glavna dejavnost
    Izdelovalec/ Proizvajalec

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Dejavnosti podjetja RH ENGINEERING GMBH & CO. KG

  • Programi za industrijo
  • Image processing, digital
  • Industrial imaging for quality control
  • Artificial intelligence contract research
  • Optical measuring technology
  • Image processing, electronic
  • Digital image processing systems
  • Image processing systems for position, shape and dimension
  • Image processing systems in real time
  • Image processing systems, spectral