Pharmaceutical companies use machine vision systems in automated production lines to inspect injection needles, which are unusable if blunt or bent. Multiple cameras photograph needles as they flow through the system on powered conveyors. Sophisticated computer software analyses the captured images to determine needle sharpness and check the contour of the tube. Industrial robots use this information to separate and discard defect needles.
Machine vision has a wide range of applications in industrial automation: 2D Robot Vision. 2D vision systems use line-scan or area-scan cameras to capture photographic images that contain width and length, but no depth. By processing these images, they measure the visible characteristics of an object, and feed robotic handling systems data on its position, rotational orientation, and type.
Automated 3D Position Detection. 3D vision systems detect the position and shape of an object in three dimensions using specialised cameras and lasers. They determine the starting point, overall length and rotation of a component, and transmit this data to industrial robots for fast and efficient handling. 3D vision systems enable the automated, reliable handling of different sized objects.
Generally on Robotic Automation the accessories are separately sold for users to have the ability to buy as many extra accessories as they need. Many applicator units come with one tamp pad to the size to choose from and you can buy extra pads. A package of service support is offered with a label applicator. This ensures the user that if things go wrong, the manufacture will fix it.
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