Integrators designing less demanding systems are staying the course with a well-established interface with a robust track record of handling large amounts of data easily and securely: Camera Link.

Before discussing the trends, let’s lay some groundwork by discussing the market drivers for machine vision that ultimately power the trends.

As technology gets easier to use, vision and AI application design is no longer restricted to expert-level developers. A quality manager or IT operations staff can design, train, and deploy their own customizable workflow.

As technology scales down and the trend towards miniaturization accelerates, how does it affect the design and application of these critical lenses?

The evolution of machine vision lenses now incorporates AI and ML to provide superior object recognition and defect detection.

For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.

We sat down with Carole Franklin, director of standards development at A3, to talk about the importance of safety standards for robot systems and the different requirements needed to ensure safe deployments.

Today companies record process trends digitally. However, analysis is still conducted in much the same way, with operations staff manually identifying trends. Enter artificial intelligence (AI) and machine learning.

No matter the industry or application, all machine vision systems require light – whether visible or non-visible – to capture images. High quality output relies on high quality images, which require adequate lighting.

Vision measuring machines (VMMs) offer several key benefits, such as greater speed, versatility, and efficiency – with many other exciting innovations on the way as well.