AI camera to image “scratch resistance (scratch characteristics) ”. Accurate detection of scratches even with dirt or oil on them. Evaluation of hard-to-see flaws can measure.
“Load-increasing scratch test” standardized in ASTM and ISO* can be performed. AI camera for scratch tester. In addition to scratching with a scratch tester, more accurate testing can be done by imaging the scratch resistance. *ASTM: D7027-05 / ISO: 19252
Our original algorithm solves the problem that only normal AI-based visual inspection alone cannot detect scratches due to dirt and oil on the surface of the object to be evaluated.
Computer-controlled lighting enables more diverse image capture.Imaging of 3D shapes by minimizing the effect of surface textures as much as possible.
The pre-shooting setting is only for adjusting the brightness. After that, simply press the REC button. Easy operation without instruction manual. By fine-tuning the parameters of the algorithm, settings specific to each work item can also be made.
Left: SV-1c / Right: Normal shooting
・Parameter setting (up to Pattern 9)
・Threshold adjustment of the boundary
・Ruler setting (accurate length can be measured on the screen)
Scar Vision Viewer
|Dimensions (W × D × H) *approx.||370 × 410 × 420 mm|
|Weight *approx.||14 kg|
|Power supply||100VAC, power consumption: 1.5A Max|
|Sample size||300 × 300 mm (max.)|
|Camera specifications||Interface: USB3.0
Resolution: 5472 × 3648 pixels
Image pickup device: 1" CMOS: IMX183 sensor
|Lens specifications||Lens size: 57.5 mm
Focal length: 8 mm
This product has been developed in collaboration with RUTILEA, a start-up company from Kyoto University.
There is not the case study of this product yet.
We offer free sampling services, "for a deeper understanding of our products", "for confirming the measured data that can be obtained", and "to prepare the data necessary for submission of internal approval documents". Please feel free to contact us.