Isra Vision: Automated inspection of painted surfaces with new Paintscan Compact Sensor
The newly developed Paintscan Compact sensor from Isra Vision expands the successful PaintVision surface inspection system. The modular system detects and classifies defects inline and at production speed on final painted and CDP-coated surfaces.
Manual defect inspection of painted surfaces by employees is very subjective and delivers fluctuating results. Automated inspection by a robot reduces costs and increases the quality of the paint finish. The newly developed Paintscan Compact Sensor from Isra Vision expands the successful PaintVision surface inspection system. The system finds and classifies defects on final painted and CDP-coated surfaces, for example on injection-molded parts or exterior and interior parts in the automotive sector, even on tightly stacked parts such as bumpers and cover panels. The system's high-performance multi-mode LED line achieves defect detection of >= 0.15 mm and a typical detection rate for topographical and non-topographical defects of over 98.5%.
All relevant defects such as inclusions, craters, pigment defects and scratches are inspected multiple times by the sensor using the oversampling method and classified in multiple dimensions. Data is processed in the process cycle and defect information is immediately available for continuous optimization of the production process. With the PaintVision system and the new sensor, painted surfaces are inspected economically and defects are found according to reproducible specifications. According to the manufacturer, expensive manual reworking to repair defects is drastically reduced while product quality is increased and consistently ensured, and retrofitting in existing systems is easy to implement.