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.
Computer Numerical Control (CNC) machining is another form of automation used in the U.S. manufacturing industry. CNC machines are typically lathes that machine parts used in automobiles, for instance. To operate a CNC machine requires not only machinist skills but programming skills. Just go to any online job board and search for CNC machinist jobs and a job seeker will find hundreds if not thousands of open CNC jobs. Don’t let anyone tell you that the U.S. manufacturing industry is dying. It isn’t. But it’s a high technology business that requires a high technology employee.
ABB’s small IRB 120 multipurpose industrial robot weighs 25kg and can handle a payload of 3kg (4kg for vertical wrist) with a reach of 580mm. It is a cost-effective and reliable choice for generating high production outputs in return for low investment. A white finish Clean Room ISO 5 (Class 100) version, certified by IPA, is available.
Some have suggested – Hillary Clinton, The DNC, President Obama, Bernie Sanders, that it ought to be raised to $15.00 per hour, ouch, this will close car washes, retail stores, small businesses, fast food restaurants and it will cause companies to automate and ditch their labor costs all together – you think I am blowing smoke – Nope! Let me give you an example of where this is happening right now.
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.