There are many methods an industrial professional can use to capture 3D machine vision data. As digital transformation slowly becomes a major part of many manufacturers’ operation focus, integrating the right vision technology can make or break the automation system.
Capturing 3D data with Geometric Measurement Techniques
3D machine vision techniques can be categorized into two fields based on the aspects of the scene the vision components use to calculate —
- The geometric relationship between the target and the measurement device.
- The examination of changes in the properties of light.
Stereo vision, active stereo vision, laser triangulation, coded light and structure light are some of the most commonly used 3D vision techniques in the industry. Depending on the scene and the target objects being viewed, automation professionals should deploy different methods to optimize the result.
Machine vision has evolved to become an integral part of any manufacturer’s quality control process. The speed of change in consumer’s buying behavior has increased exponentially thanks to improved e-commerce capabilities. 3D vision data has the advantage of maintaining system flexibility and scalability, which traditional vision systems could not achieve. In the next instalment, Hermary’s Josh Harrington will cover techniques that were developed based on manipulating the properties of light.
Machine vision works best when working alongside human operators. If you would like us to cover any specific subjects or have any questions or feedback, leave us a comment below or contact us.