Machine vision systems are a staple in production lines for barcode reading, quality control and inventory management. And, as the Industrial Internet of Things (IIoT) continues to expand its reach, these systems have become crucial data collectors.
These solutions often have long replacement cycles and are less prone to disruption. Due to the increasing demands for…
With the coronavirus growing more deadly in China, artificial intelligence researchers are applying machine-learning techniques to social media, web, and other data for subtle signs that the disease may be spreading elsewhere.
Machine vision is composed of a digital camera, lighting and optics, coupled with software that processes images. The electronic “brain” of the system evaluates the image and then takes action based on the analyzed data. On the hardware front, cameras, optics and lighting systems have advanced to capture precise image information, even under challenging conditions. In some, for example, if an image doesn’t have good contrast under a white light, banks of LEDs can strobe through red, green and blue lights to find a workable wavelength — as well as change the intensity and frequency — in milliseconds.
Robots are capable of incredible feats well beyond human abilities. Strength has long made robots a staple of assembly lines, where their immense power transcends human limitations. But companies are discovering that robots can be leveraged not just to overcome human physical limitations, but mental limitations as well.
The trend towards robotics and smart manufacturing makes machine vision technology an indispensable tool for industrial automation. Machine vision technology has gradually replaced quality inspection performed by humans.