Videos

Understanding how 3D machine vision and point cloud data work can help system integrators and machine builders solve automation challenges that could not be addressed with 2D machine vision.

Machine vision transforms the physical world into digitized data. What technology to choose, how to work with each technology, and which works best for which industry, we will answer all here.

3D vision data can be captured using many different ways. This video breaks down different geometric measurement techniques into simple concepts and illustrates them using real-world applications.

By manipulating the different attributes of light, methods such as time of flight, interferometry, or confocal displacement are used in various industrial applications.

Creating Point Cloud data is the industry-proven method to scan large, moving objects. To find out how to start on working with Point Clouds, here’s a list of most commonly asked questions.

Hermary’s SL-1880 uses factory-calibrated laser triangulation technology to capture accurate point cloud data of irregularly-shaped objects, such as meat parts.