Nevertheless, the global industrial logistics robotics market is getting increasingly diversified and is poised to grow significantly in every vertical. This can be attributed to the fact that production of goods and services need automated processes. Hence, industrial logistics robots are being increasingly deployed to adapt conveyor belts and end of line tasks along with the loading of a flexible systems approach. At present, automated processes rely on the introduction of advanced logistics capability, and with robots taking over the operation, they allow remote control over a device, and by consequence a process. This aids in directing machines the way the user wants.
Think about the current industrial revolution. Before the invention of the automobile, buggy whip manufacturing was a thriving business. No longer. In the same vein, industrial robots hold the promise of eliminating many of the existing jobs in manufacturing. Innovation, centers of excellence. New enterprises promise to replace many of the existing jobs. People need to be flexible, to develop new industries.
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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.
You see, there was an interesting article in Business Insider Tech News titled ”Foreign robotics companies find success in China,” written by Jonathan Camhi published on September 22, 2015 which stated:
Machine vision systems for weld inspection comprise a sensor mounted on a robotic arm. A laser in the sensor projects a line of light across the surface of a component joint, a technique known as laser triangulation. At the same time, a high-speed camera, also housed in the sensor, captures an image of the line as an elevation profile. Through the relative motion of the component and the sensor, the system builds a 3D image of the welded seam surface.