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  3. Test software
  4. Mabri.Vision GmbH Technologiezentrum am Europaplatz

Test software DEEP.MV
machine learningindustrialfor defect inspection

Test software - DEEP.MV - Mabri.Vision GmbH Technologiezentrum am Europaplatz - machine learning / industrial / for defect inspection
Test software - DEEP.MV - Mabri.Vision GmbH Technologiezentrum am Europaplatz - machine learning / industrial / for defect inspection
Test software - DEEP.MV - Mabri.Vision GmbH Technologiezentrum am Europaplatz - machine learning / industrial / for defect inspection - image - 2
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Characteristics

Function
test, machine learning
Applications
industrial, for defect inspection

Description

Our platform - machine learning for industrial use MABRI.VISION has developed the DEEP.MV software platform for the application of modern deep learning and AI technologies in the industrial environment. The platform combines all the necessary components and enables use at the plant level. Possible uses Our deep learning platform is ideal for applications where rule-based approaches are challenging or fail. This applies above all to test applications with a wide range of variants and error characteristics, such as varying surface and structural properties. The MABRI.VISION platform can be used optimally where, due to the complexity, primarily manual and manual checks are carried out using error catalogs. Object recognition | Examples: completeness check, presence check, counting, pick & place and much more. Defect detection | Surface defects, incomplete components, structural defects, color and shape defects and much more. Segmentation | Detection of structures and image areas, surface defects, incomplete components, structural defects, color and shape defects and much more. Anomaly detection | Defects on packaging, printed image control, weaving defects and much more. OCR | Text recognition

Catalogs

*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.