The automotive industry uses 2D vision systems to pick heavy gearboxes from cages, unload cylinder heads from wire mesh boxes, identify axle castings, and detect the position of slide bearing shells.
The most commonly used robot designs for industrial use are the articulated, SCARA and gantry types. Predominant type of industrial robots in use is a robot arm, which are very independent. Unimation were pioneers in producing industrial robots. These appliances are designed by connecting communication cables to the Ethernet, FireWire, or serial ports of a computer.
Most of the manufacturing conducted in the U.S. is high tech manufacturing, such as chemical, semiconductor, petro-chemical, pharmaceutical, among others. To understand the nature of the manufacturing processes requires background information. That’s where a degree in engineering becomes so critical. Spending the time earning an engineering degree is worth it: many engineering jobs in this sector start around $50,000 and rise up to over $100,000.
There was an interesting talk given by Regina Dugan of DARPA on December 14, 2011 for the engineering students and social studies students at MIT titled; ”Just Make It” which of course is a ”take-off” literally on the Nike Brand theme; Just Do It! – in this talk she mentions an aircraft manufacturing company which works without assembly lines and has been able to increase time to build from start to finish by a factor of 2. Each aircraft stays put, the folks working on it move. Okay so, that makes sense, and Rolls Royce and other high-end auto manufacturers use similar techniques, as to many of the hand-crafted high-end specialty cars.
Contour Inspection. Machine vision systems for contour inspection examine the profile of an object using high-resolution cameras and 3D sensors to ensure it is free from deviations (e.g. chips), which affect the shape and thus the function of the product. They also check measurements such as length, width, and radius to ensure they are within set parameters.