Computer Vision & Quality Control

Cameras on the line and a model that knows your parts: surface defects, wrong assembly and unreadable labels are caught while production runs.

  1. 01Inspection at line speed
  2. 02Trained on images from your production
  3. 03Uncertain cases go to a person
  4. 04Connected to PLC and quality management
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How the inspection works

From camera image to a decision on the line – and every new defect image makes the model better

  1. 01

    At line speed

    Images and video streams are evaluated right on the line, so the decision is made before the part moves on.

  2. 02

    Reliable detection

    Models are trained on images of your parts and tested against real defect images before they are allowed to decide.

  3. 03

    Defect Detection

    Automatically identify scratches, cracks, misalignments, and other quality issues.

  4. 04

    Continuous Learning

    Models improve over time by learning from operator feedback and new defect patterns.

  5. 05

    System Integration

    Connected to production line, PLC and quality management – inspection fits into existing workflows.

  6. 06

    Images stay in the plant

    Everything can run on-premise; processing follows the GDPR.

Real-World Examples

Use cases

Visual inspection in manufacturing, logistics and retail

Manufacturing Quality Control

Automated inspection of parts, welds, assemblies, and finished products on production lines.

  • Detect surface defects on metal parts (scratches, dents, corrosion)
  • Verify correct assembly of multi-component products
In cycle
Inspection on the line
Less
Manual visual checking