There are four common reasons why manufacturers should use smart vision acceleration.

Unlike standard vision industrial cameras, AI or inference cameras belong to the device class of “embedded vision systems.” This presents manufacturers with completely new challenges.

Machine vision enables new and exciting advancements in industries and fields of research across multiple disciplines. 

Deep learning is now more user-friendly and practical than ever and together with other vision technologies opens up new application areas, making the inclusion of vision inspection as part of Industry 4.0 even more beneficial.  

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.

In this article, deep learning refers to developments during the last few years that have enabled applying the technique to entire images in the industrial machine vision space.

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

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.