By Claire Lamarre. Industrial Robot. Published at Saturday, November 10th, 2018 - 23:18:55 PM.
Manufacturing plants are frequently long aisles of nothing but robots, no human in sight. Beyond industrial robots that repeat actions, more intelligent robots loaded with sensors, cameras, and intelligent software are able to automate process using controllers to manage action. Use of microprocessors provides a measure of intelligent control over the activity of the robot based on input from the sensors and the cameras.
Growth prospects for the industrial robotics industry depend on market opportunity metrics relative to the different industries. Automotive investment levels globally have remained at historical highs. Increasing usage of robotic automation by non-automotive companies is driving the usage of industrial robot automation to a new level. Increased adoption of industrial robots coupled with a huge push from the industry for collaborative robots, opens opportunities for robotic solutions. In the immediate future industrial robots strengthen the position of every industry, promising more manufacturing efficiency at every level.
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.
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.
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