Industrial robots accomplish tasks such as painting, welding, assembly, and product inspection with speed and precision. They do not tire like humans and perform repetitive actions reliably without getting bored, which leads to high productivity at a low cost. These attributes make industrial robots invaluable to manufacturers in many industries.
Conclusion. Machine vision systems have a wide range of applications in industrial automation. They enable industrial robots to perform complex tasks reliably and accurately, and allow companies to achieve previously impossible levels of efficiency and productivity. Machine vision has developed significantly over the last ten years and is now essential to many industries.
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.
Other robots use machine vision systems to perform complex tasks, such as weld inspection and optimization in the automotive industry. These usually involve elaborate actions and motion sequences, which the robot may even have to identify itself.
Using this image, a computer checks the seam’s consistency along its length. It accurately detects imperfections like profile variations and pores, which weaken the joint, and instructs a robotic burner to rework or repair seams if necessary.