Manufacturers have two choices 3D or 2D machine vision, depending on application requirements. More recently manufacturers have embraced 3D machine vision to deliver accurate dimensional data, taking application capabilities to a new strategic level.
2D machine vision used a digital camera to capture an image of an object. With 2D machine vision, a two-dimensional map (X, Y) of reflected intensity is captured and processed. Processing typically consists of comparing variations in intensity (contrast). Traditionally used for applications like barcode reading, label orientation and printing verification, 2D vision is well known by many in the industrial automation industry. Typical limitations of 2D machine vision technology include; parallax, depth of focus, ambient light, and variations in contrast.
Benefits of Using 3D Scanners
3D Machine Vision scanners output a point cloud, which is a digitized model of shape and location of object(s). With integrated illumination, Hermary machine vision products operate under a wide variety of ambient lighting conditions, without relying upon the target’s contrast. A further benefit of 3D machine vision is the ability to stitch together point clouds from multiple scanners. For example, a large object such as a truck frame can be scanned with multiple scanners. Complex shapes can be digitized by stitching point cloud data from multiple, strategically placed scanners.
Industrial robots work in a three-dimensional world. A blind robot is limited to performing repetitive and structured tasks. 3D machine vision allows a robot to sense variations in its physical environment and adapt accordingly, increasing flexibility, utility and velocity.