We define machine learning and explain how it works within machine vision, with a focus on where machine learning can be effectively applied to enhance inspection reliability and capability.
When you buy a cobot, you may have just one application in mind, but leading cobots are platforms for almost any number of quality applications - and not just quality applications.
I've noticed that operators and inspection workers often realize upon first meeting collaborative robots (cobots) that they aren't replacements for human labor. Instead, cobots signal a shift from traditional automation in quality and inspection, providing distinct advantages over traditional robots.
Instron® announced the release of the AVE3, an advanced non-contacting video extensometer that delivers precise strain measurement with unparalleled, micron-level accuracy for tensile, compression, and bend testing.
On May 20, 2025, CADENAS is now part of the KEYENCE Group, an international developer and manufacturer of industrial automation and inspection equipment.
Artificial intelligence (AI) is currently the leading trend in machine vision. Every major machine vision software package incorporates AI as one of its tools, and even less common software options include AI features as well.
The MVTec on Campus program, which offers universities and students free access to MVTec software products for academic purposes, will celebrate its fifth anniversary in 2025.
The search for a perfect match isn’t just for dating; it also applies to machine vision, where software accurately identifies objects in images. This technology enhances industrial processes by enabling safe robot handling, precise machining, and effective quality control. I’ll explore why matching is essential in machine vision and how to achieve it.
e-con Systems® introduced the 4K 140dB HDR Front view Camera—STURDeCAM88_CUOAGX, engineered to deliver superior and reliable long-range imaging for mobility applications such as delivery robots, autonomous vehicles, and off-road vehicles, including agricultural vehicles, mining vehicles, and all-terrain vehicles (ATVs).