Automatic Detection of Paint Defects
- Robot-based inspection process
- Almost 100% coverage on painted surfaces
- Determination of the robot positions
- CAD model of painted surfaces; Offline robot simulation and program creation
Typical Standard Paint Defects and Measuring Principle
Error allocation (orange peel)
Normal Picture
Reflective Image (Shape-image)
Defect Picture
- With the help of the reflective image, the defect (orange peel) is clearly visible.
- The size and severity of the defect to be detected can be set individually.
Error allocation (hair & imperfections, metallic paint)
Normal Picture
Reflective Image (Shape-image)
Defect Picture
- With the help of the shape image, the defect (hair & imperfection) is clearly visible.
- The size and severity of the defect to be detected can be set individually.
Error Allocation (Blowholes)
Normal Picture
Reflective Image (Shape-image)
Defect Picture
Error allocation (Impurities)
Normal Picture
Shape Picture
Defect Picture
Plant Presentation and Technical Data
- Measuring speed: 600mm / s
- Measuring principle: Continuous (continually)
- Plant concept: Stop-and-go or continuously