STEMMER IMAGING - CVB Match 3D
This software provides exceptional 3D object and pose detection capabilities, making it the optimal solution for complex objects, while seamlessly integrating into any pre-existing machine vision setup. Match3D ICP: Component for point cloud alignment Match3D DNC: Component for CAD-based 3D-object recognition.
Key Features
- Software for demanding real-time 3D object and pose detection
- Fully integrated with CVB Image Manager for Acquisition
- High processing speed
- Algorithm works on real 3D point clouds and automatically adjusts position errors or tipping and tilts in all 3 axes (6 variants)
- No need for accurate positioning of test parts
- Allows the inspection of different parts at the same time
- Easy integration into existing machine vision environments
- Easy-to-use programming interface
- Comprehensive documentation and examples
Find the right model for your needs
Use the filters below to narrow down your selection based on your application requirements
| Nom de produit | Manufacturer | Software type | Technology |
|---|---|---|---|
| STEMMER IMAGING | Tool | Matching |
Pourquoi choisir STEMMER IMAGING - CVB Match 3D ?
Match 3D ICP - Accurate calculation of rotated objects
The ICP (Iterative Closest Point) algorithm is able to accurately calculate the rotation in 3 spatial directions in order to transform from one 3D pose to another 3D pose of the same object. This technique can be used, for example, to compare the 3D scan of a part with a template to determine the 3D orientation of the corresponding object in 3D space. For example, a 3D image of a perfect sample part (golden template) can be compared with the 3D images of inspection parts on a production line. Dimensional deviations between the two images can thus be detected and marked in real time, allowing quick pass/fail decisions to be made. However, the algorithm requires considerable computing time and struggles with tilt angles greater than about 15 degrees. Here, Match 3D DNC provides the perfect complement.
Match 3D DNC - Locate 3D objects in a point cloud
This function allows the user to locate 3D objects in a point cloud and determine their position. A CAD file of the object to be located is used as a template. A special feature is that DNC does not require any information about the sensor used, such as spatial resolution or intrinsic calibration data. Neither the colour nor the surface texture of the object is important, hence the name DNC, which stands for "Depth - No - Color": Only depth data is analysed and used to detect objects and determine their position.
With the right choice of parameters, an object can be detected in a fraction of a second. With a suitable recording technique and a frame rate and resolution that are not too high, it is possible to search and measure the pose almost in real time. The accuracy of the pose measurement is good enough for many practical applications. If higher precision is required, Match 3D DNC can be used for pre-positioning, followed by Match 3D ICP.