surfaceCONTROL is based on patented artificial intelligent, AI algorithms, developed to detect and quantify the dimensions of surface defects, even to single microns in an inline industrial environment. Its measurement capability and ease of integration for both offline and inline environments, has opened up new opportunities for automated visual inspection, which is not possible with current industrial 3D vision technology. Applications are being solved in the aerospace and automotive industries, medical parts production, domestic appliances, consumer electronics and hand held devices.
Jason Biddulph, technical lead for 2D and 3D sensor solutions at Micro-Epsilon UK, will introduce surfaceCONTROL in his seminar “surfaceCONTROL: solving the challenge of automatic, inline surface defect detection” The seminar will explain the surfaceCONTROL technology, system configuration and technical performance, as well as looking at some used case examples for several industrial sectors.
Solving the challenge for inspectors
The perceived quality of smooth, defect-free surfaces is determined by the look and feel, colour and shape consistency of the surface. High quality finished surfaces are therefore a challenge for many industries. Although inspectors are able to recognise a high proportion of surface defects reliably and quickly, visual evaluation is often subjective and depends heavily on several factors, including tyredness, lack of concentration and varying light conditions. The aim of surface inspection is to achieve an objective, reproducible evaluation of surface deviations in order to quickly and reliably make decisions with respect to component tolerances.