Machine vision uses a camera to create an image, then computer vision algorithms and tools process and interpret the image. It will then instruct other components in the system to act upon this data.
1D robotic vision inspection systems analyze a digital signal one line at a time instead of looking at an entire picture at once. 2D vision inspection systems most commonly include inspection cameras that either capture 2D snapshots or builds a 2D image line by line.
Robotic vision inspection offers businesses a flexible and dependable solution for quality control issues by increasing productivity, eliminating quality slips and reducing rework. Robots can quickly and efficiently inspect every part produced, eliminating uncaught errors and incorrect orders.
Automotive manufacturing, consumer product manufacturing, aerospace manufacturing and general industry have all benefited from industrial robotic vision inspection projects.
3D robotic vision inspection systems involve multiple cameras or one or more laser displacement sensors. Multi-camera 3D vision in robotic guidance systems provides the robot with part orientation data. 3D laser-displacement applications can use just one sensor to provide 3D information for height mapping, volume measurement, and surface inspection.
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