It can also provide precise locations for individual products in a crate and enable applications in which a robot arm removes objects from a pallet and moves them to another pallet or process.You can request repair, schedule calibration, or get technical support.From vision-guided robotic bin-picking to high precision metrology, the latest generation of processors can now handle the immense data sets and sophisticated algorithms required to extract depth information and quickly make decisions.
Vision Development Module 2012 Software And HardwareThe LabVIEW Vision Development Module makes 3D vision accessible to engineers through seamless integration of software and hardware tools for 3D within one graphical development environment.
This is most similar to how our brains work to visually measure distance. The laser and camera scan though multiple slices of the object surface to eventually generate a 3D image. This is most commonly used in medical imaging applications, because of the non-invasive ability to penetrate multiple layers of biological tissue. Vision Development Module 2012 How To Move AndBy using calibration information between two cameras, the new algorithms can generate depth images, providing richer data to identify objects, detect defects, and guide robotic arms on how to move and respond. Ideally, the two cameras are separated by a short distance and are mounted almost parallel to one another. After calibrating the two cameras to know the 3D spatial relationship, such as separation and tilt, two different images are acquired to locate potential defects in the chocolate. Using the new 3D Stereo Vision algorithms in the Vision Development Module, the two images can be combined to calculate depth information and visualize a depth image. The image in Figure 2 shows a white box around the defects that have been identified. To be able to locate and differentiate the features, the images need to have sufficient texture, and to obtain better results, you may need to add texture by illuminating the scene with structured lighting. These points are often referred to as point clouds or cloud of points. Point clouds are very useful in visualizing the 3D shape of objects are can also be used by other 3D analysis software. The AQSense 3D Shape Analysis Library (SAL3D), for example, is now available in the LabVIEW Tools Network, and uses a cloud of points for further image processing and visualization. Even the best cameras and lenses will introduce some level of distortion to the image acquired, and in order to compensate, a typical stereo vision system also requires calibration. The calibration process involves using a calibration grid, acquired at different angles to calculate image distortion as well as the exact spatial relationship between the two cameras. Figure 5 shows the calibration grid included with the Vision Development Module. You can then visualize 3D images as shown earlier in Figure 1, as well as perform different types of analysis for defect detection, object tracking, and motion control. Stereo vision systems can provide a rich set of 3D information for navigation applications, and can perform well even in changing light conditions. A bin-picking application requires a robot arm to pick a specific object from a container that holds several different kinds of parts. Vision Development Module 2012 Free To BeA stereo vision system can provide an inexpensive way to obtain 3D information and determine which parts are free to be grasped.
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