Surface defect detection
Automated surface-anomaly detection using machine learning has become an interesting and promising area of research, with a very high and direct impact on the application domain of visual inspection. Deep-learning methods have become the most suitable approaches for this task. They allow the inspection system to learn to detect the surface anomaly by simply showing it a number of exemplar images.
Our research explores deep-learning methods for different industrial applications of surface-defect detection:
![](/research/surface-defect-detection/industrial-surfaces/profile_hu93cab4a63f66461cadb96299ede0de1f_115292_300x170_fit_box_2.png)
![](/research/surface-defect-detection/reflective-surfaces/profile_hu05a03c6893966457baa187a74607c3fc_290815_300x170_fit_box_2.png)