Machine vision: custom solutions
Standard vision solutions are powerful, but not every production process is standard.
When variation, speed, or high quality requirements play a role, a custom machine vision solution is recommended.
Every tailor-made solution starts with a thorough analysis:
- What needs to be detected, measured, or inspected?
- Which tolerances are critical?
- What does the production environment look like?
- How should the system integrate with existing machines or robots?
Based on this, we design a complete solution where cameras, lighting, software, and integration work seamlessly together.
Advanced quality inspection
Do you produce parts where small deviations have major consequences? Then you can train a vision system specifically on your product.
It detects scratches, cracks, color deviations, or minute dimensional differences while the product is still on the line. You identify defects immediately and can take corrective action right away. This helps you avoid rework, complaints, and costly scrap afterward.
- Data-driven quality monitoring
- High-precision measurements
- Real-time feedback
3D vision & robot guidance
Are your products not always perfectly positioned? With 3D vision, you give your robot depth perception.
The system determines exactly where a part is located and in which orientation. Your robot automatically adjusts its movement. This allows you to avoid complex mechanical fixtures and makes your line more flexible, even with varying products.
- Dynamic robot guidance
- Bin picking without fixtures
- Complex pick-and-place applications
AI-driven inspection
Some defects are difficult to define with fixed rules—think of subtle surface textures or aesthetic differences.
With AI, the vision system learns from examples what is acceptable and what is not. The more data you collect, the smarter the system becomes. You get reliable inspection, even for variable or hard-to-define products.
- Continuous improvement
- Flexible with product variations
- Applicable across multiple use cases