KERNAutomation SystemsDiscuss a project

Engineering scope / Machine Vision

Make the part readable.

Optics, lighting and image analysis matched to the part and its production environment.

Explore the engineering

Role in the system

A consistent visual reference for guidance, identification and inspection.

Reflective surfaces, changing ambient light and variable presentation can make a good laboratory image unreliable on a production line.

01 / Engineering approach

From requirement
to working sequence.

Typical applications

  • Robot guidance and part location
  • Code reading and component identification
  • Presence, orientation and surface checks
  1. 01

    Start with representative parts and a defined decision to make.

  2. 02

    Select optics, lighting and mounting as one imaging arrangement.

  3. 03

    Verify image quality and detection across expected production variation.

Integration points

  • Part fixtures and camera access
  • Robot coordinates and acquisition triggers
  • Inspection decisions and stored image records

Acceptance considerations

  • Field of view and smallest relevant feature
  • Exposure within the available cycle time
  • False accepts, false rejects and lighting stability

Performance targets are defined for the application and verified against agreed acceptance criteria. No universal cycle time or accuracy is implied.

02 / Production context

Applied on the line.

Illustrative project / Concept case study

Nordwerk Line 04

Robotic handling, inline inspection and part traceability within an existing component line.

Explore the project

Start with the production constraint

What needs to work better?

Bring the part, the operating conditions and the outcome you need. The engineering scope follows from there.

Discuss a project