Surface defects can be defined by the change in surface property. For example, surface defects such as dents can be seen as a change in surface inclination, scratch as a change in surface roughness while stain can be seen as a change in surface reflectivity. But until now, conventional lighting products have been used to detect surface defects only by utilizing brightness values, which has caused poor and unstable results. Furthermore, if a surface had changes in reflectance and geometry, this usually resulted in crucial information loss.
To overcome these obstacles, we have developed a lighting system that directly measures 3 surface properties (inclination, roughness and reflectivity) by combining multiple images and outputting it as processed images. These high-quality images can be used to detect complex defects regardless of sample & lighting conditions. In addition, classifying defects can also be achieved by a combination of the processed images. These high-quality images can especially be a good fit when combined with deep learning (AI) solutions.
Find out more information on Deediim Sensor here: https://www.deediim.com
For more information on Advance Ultravision here: http://advanceultravision.com/
To overcome these obstacles, we have developed a lighting system that directly measures 3 surface properties (inclination, roughness and reflectivity) by combining multiple images and outputting it as processed images. These high-quality images can be used to detect complex defects regardless of sample & lighting conditions. In addition, classifying defects can also be achieved by a combination of the processed images. These high-quality images can especially be a good fit when combined with deep learning (AI) solutions.
Find out more information on Deediim Sensor here: https://www.deediim.com
For more information on Advance Ultravision here: http://advanceultravision.com/