VISION-BASED QUALITY CONTROL OF PRODUCTS IN DIGITAL MANUFACTURING

Vision tools represent a powerful category of feature detection and measuring operators for part geometry control in Industry 4.0 systems. The paper presents two types of vision tools for Computer Aided Quality Control tasks in intelligent manufacturing: linear/circular rulers for geometry measurements (edge lengths and angles), and detectors of part features (lines, arcs and points) that find contour segments, corners, a.o.; these vision tools are integrated in the V+ robot-vision programming environment. The designed vision tools work both for greyscale and binary object images, are robust to object translation and rotation because they can be referred to the object’s centre of mass and minimum inertia axis, are configurable relative to the AOI and can be nested.