Visual Quality Inspection

Increase the quality of your products with AI-based inspection systems. We deliver the fully integrable image processing solution for your quality inspection.
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The AI Transformation in Quality Assurance

With our solutions for automated optical quality assurance, errors in production and logistics can be identified and eliminated quickly and effectively. Image processing and artificial intelligence (AI) make it possible today to reliably detect and classify the most diverse and complex defects. Using our AI for quality inspection, accuracy that conventional systems fail to achieve can thus be achieved quickly.

Application Areas

Component Inspection

Ensure consistently high quality with AI-based quality control from Data Spree. With the help of artificial intelligence, a wide range of defect classes and deviations can be identified easily and quickly in real time for a wide range of products and materials.

Metallic Workpieces
  • Reliable handling of reflective surfaces
  • Detection of different types of defects (cracks, flaws, dents, scratches, geometric deviations)
  • A wide variety of metals, steels and non-ferrous metals
  • Real-time error detection during ongoing production
  • Classification of errors
Plastics and Injection Moulding
  • Detection of a wide variety of defect types (cracks, faulty injection moulding, protrusions, geometric deviations)
  • A wide variety of plastics and colours
  • Real-time defect detection during ongoing production
  • Classification of errors

Inspection of Surfaces and Weld Seams

With AI-based image processing from Data Spree, you achieve the highest quality in your production. Whether web goods, metallic surfaces, painted surfaces, paper, glass surfaces or other demanding surfaces, AI reliably detects defects, scratches, inclusions or holes even at high throughput speeds.

Material Surfaces
  • Detection of different types of defects (cracks, scratches, dents, holes, inclusions, blowholes, colour defects, structural defects)
  • Reliable handling of different materials (metals, fabrics, wood, glass)
  • Real-time defect detection during ongoing production
  • Classification of defects
Weld Seams
  • Recognition of different types of defects (flaws, holes or pores, cracks, uneven seam shapes, seam penetration, seam protrusion, spatter formation, binding defects, component misalignment)
  • Reliable handling of different materials and welding methods
  • Real-time defect detection during ongoing production
  • Classification of defects

Packaging

The variety of shapes, colours, materials, surfaces and defect types of today's packaging pose an enormous challenge for optical quality inspection. With artificial intelligence, it is possible to quickly achieve very robust quality inspection solutions by easy to use training methods from Data Spree.

Convetional Product Packaging
  • Reliable handling of a wide variety of packaging types
  • Detection of different types of defects (tears, missing pieces, dents, scratches, geometric deviations, missing contents)
  • Detection of printing errors
  • Unterschiedlichste Materialien, Farben und Oberflächen
  • Real-time defect detection during ongoing production
  • Classification of defects
Non-standard Packaging, Tinned food, and Cans
  • Reliable handling of a wide variety of packaging types
  • Detection of different types of defects (tears, missing pieces, dents, scratches, geometric deviations, missing contents)
  • Detection of printing errors
  • Different materials, colours and surfaces
  • Real-time defect detection during ongoing production
  • Classification of defects

Food Processing

The processing of food is a very demanding task for image processing systems due to the differences in structures, surfaces, shapes and defect patterns. However, with the help of AI-based image processing, a wide variety of anomalies can be detected and localised quickly and reliably.

  • Detection of different types of defects (cracks, missing pieces, holes, breaks, geometric deviations)
  • Reliable handling of a wide variety of foods and baked goods
  • Different shapes, colours and surfaces
  • Detection and localisation of foreign bodies
  • Real-time defect detection during ongoing production
  • Classification of defects

Harvesting

Conventional image processing methods often fail in the automated inspection and sorting of crops. AI-based image processing methods can handle the high variance of features much better and more reliably in the long term.


  • Detection of different types of defects (imperfections, wrong ripeness, foreign objects)
  • Reliable handling of a wide variety of crops
  • Different shapes, colours and surfaces
  • Detection and localisation of foreign objects
  • Real-time sorting by size or variety
  • Real-time error detection during operation
  • Classification and localisation of errors

Let's talk about your use case.

Phone: +49 (0) 30 220 118 36
E-Mail: info@data-spree.com
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