Defects are automatically detected in parallel to dimensional measurements at any surface of the device providing a complete inspection in a single operation.

The proprietary detection methods in SensoINSPECT allow to automatically highlight deviations from the ideal surface of the device, based in their size and contrast. Detection methods for small and localized defects, as well as for large defects affecting an extensive area of the surface, are available. Surface defects can be detected in the outer, inner and lateral surfaces of the stent.

Software SensoINSPECT is able to automatically detect defects in the contour of the device by finding unexpected abrupt changes of the contour of the devices, and deviations from the specified dimension of the struts. A warning for the operator is showed based in the configured tolerance for the reference dimensions and curvatures.

SensoINSPECT is able to detect structural deformations in the stent based on its reference design. This allows the detection of large-scale deviations from the ideal stent design.

Being the most critical of the defects appearing in production, strut fractures are automatically detected by robust detection algorithms in SensoINSPECT.

Surface Finish Characterization

The exceptional combination of 2D and 3D technologies in Q vix allows a direct correlation of a 3D roughness measurement in the surface of the device with a 2D image of the surface in the exact same point. Sensofar Medical has successfully established statistical and structural parameters measurable from 2D images of the stent surface that consistently correlate with surface roughness parameters calculated from 3D measurements. Assessing the surface quality from 2D images provides valuable information about the device while not compromising inspection throughput