Manufacturing industries have been making use of robots and automation on a very large scale. Robots have been successful in meeting the requirements of precision, endurance, speed, and reliability. Robots perform all kinds of dangerous and dirty jobs. Robots also handle the manufacturing work which includes material handling (pick and place), welding, packaging, assembling, painting, palletizing, product testing and inspection.
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.
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3D Seam Inspection. Poorly welded components break, causing products to fail. In the case of automobiles and aeroplanes, this often has disastrous consequences and costs lives. Robotic weld seam inspection and optimization is now the standard in many industries.
The study provides historic data of 2015 along with forecast from 2016 to 2024 based on volume (units) and revenue (US$ Mn). It includes drivers and restraints of the packaging robot market along with their impact on demand during the forecast period. The report also comprises the study of opportunities available in the market for packaging robot on the global and regional level.
While businesses have traditionally opted for outsourcing as a means to reduce costs, it has come with its own set of challenges. Time delays, improper communication between the two teams, and the inherent loss of efficiency that comes with delegating one part of a process to an external third party, outsourcing has not been the miracle solution. Robotic process automation, or “cybershoring”, does away with many of these issues. Making the product in house without the additional cost is a boon for businessesArticle Submission, which can now integrate their workflow tighter and do not require as much slack time in between phases either to allow for inefficiencies.