Vision & Sensors

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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

Do you remember Curious George? If you do, picture him right now. Does he have a long tail? If you said yes, you might be shocked to hear that he had no tail at all.

Is ML Useful In Integration? You may (still) be wondering whether any of this stuff is actually useful in real-world integration and factory automation scenarios.

CMM touch probing surely has its place, however it is not always an optimal solution for certain part geometries and applications. Roush Yates Engines (RYE) and its manufacturing division, Roush Yates Manufacturing Solutions (RYMS), recognized there were better options.