In order to provide the users of this report with comprehensive view of the market, we have included detailed competitiveness analysis and company players with unique selling propositions. The study encompasses market attractiveness analysis, by application, gripper type and end-use industries.
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 Washington Post reported that over the last 10 years the United States lost more than a quarter of its manufacturing jobs. Although we are all aware it’s cheaper to manufacture products overseas, Washington Post reporter Peter Whoriskey explains that Asia is producing an ever-increasing workforce armed with engineering doctorates. China and other Asian countries are also flowing millions of dollars into high tech research in order to compete with the tech industry in the United States. For example, over the last 10 years China doubled the number of engineering doctorates awarded.
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.
Characteristic features include screws, pins, fuses, and other electrical components. Machine vision systems also check for missing slots or holes, which can prevent proper assembly. Inspection takes just seconds, even with a huge variety of different parts, allowing manufacturers to maintain high levels of efficiency and productivity.