Industrial Computers Boost Machine Vision Systems

GPU and CPU Performance Drive Rugged Industrial Platforms

- Cindy Lin

As producers align with Industry 4.0 guidelines, they utilize automation systems that capture visual inputs, make decisions and act autonomously. Machine vision systems provide higher accuracy automation for guidance, identification, measurement, and inspection for a growing range of industrial uses.

Machine vision is the pivotal technology manufacturing that empowers automation systems to capture visual inputs, make decisions, and act autonomously as producers align their facilities with Industry 4.0 guidelines.

The Association for Advancing Automation (A3) defines machine vision as the combination of software and hardware used to analyze and process images or videos to provide guidance and assistance during the execution of industrial equipment. As an alternative to manual labor, machine vision provides faster, non-contact, and higher accuracy automation for guidance, identification, measurement, and inspection.

Since its beginnings in the 1990s, mainly in the semiconductor, electronics, and automotive industries, machine vision has rapidly seen adoption in other fields, such as surveillance, medical, robotics, autonomous vehicles, and drones. These expanded applications have ignited new growth in the global machine vision market. According to Research and Markets, it is expected to reach 25.92 billion US dollars by 2030 with a 7.7% CAGR.

As a provider of machine vision systems for industrial automation, Cincoze outlines the essential elements of machine vision systems and some solutions that will help adopters bring the benefits of this technology into their environments.

MACHINE VISION COMPONENTS