Vision & Sensors

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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.

Digital transformation is largely about automating to increase profit and productivity, improve consistency, reduce errors and repetitive labor, and improve customer satisfaction. How you choose to automate matters.

Research shows that 65% of manufacturers struggle to fill job vacancies. To make up for unfilled roles, 82% of manufacturers are exploring new and innovative ways to invest in workforce enablement and optimization.

As 3D sensor technology advances, it is poised to shape new applications in areas such as manufacturing and logistics