Manufacturers often look at collaborative robots, or cobots, as an ideal way to enhance production efficiency, with human workers and automation working closely together.

One constant in the ever-evolving machine vision space is the need for high-quality, consistent lighting. New challenges in the design and specification of machine vision systems require an innovative approach to lighting selection.

It’s said that our imagination is what separates us from other animals. The ability to take what we imagine and make it real—to create something from nothing—is genius.

As manufacturers worldwide seek to enhance their machines and equipment with online connectivity—an example of the Industrial Internet of Things (IIoT)—they are realizing this technology’s remarkable potential. I

The emergence of autonomous mobile robots (AMR), which can independently transport materials around a facility using built-in Lidar scanners and 3D cameras, can make automating tasks faster, less expensive and easier to deploy overall.

In all types of industries, machine learning (ML) tools are finding the needle in the haystack of data, augmenting quality and safety professionals with a new kind of intelligence that can unlock hidden data patterns that are impossible for the human mind or eye to absorb.

Brand appearance plays a significant role in consumer choice, and the manufacturer competes against larger players with much deeper marketing budgets.

Robot sales have surged over the last few years as companies in every industry recognize robotics and automation can help them compete globally. 

There is a lot of attention given to the growth of automation, specifically to robotics and artificial intelligence (AI), and its potential impact on the economy and the work force, current and future.

With robot vision guidance systems, both 2D and 3D, flexible material handling is made possible for industrial production and warehousing.