2D and 2.5D Position Recognition with VMT® 2D
Position and rotation recognition of objects for vision guided robots.
The core of the system is a neuron network that can be trained to recognize characteristics with the aid of models and trial characteristics. The system’s sensors are therefore able to identify liberal characteristics or contour elements.
By adding further appearance variants, the system achieves maximum recognition capability possible. Fluctuations in the surrounding conditions and varying image backgrounds may therefore be easily optimized.
Through combining approved special sensory procedures on the subpixel level, it is possible to achieve the highest accuracy subsequent to the reliable recognition of characteristics.
The unit is operated with a modern user interface that allows intuitive working. No knowledge of programming at all is required to operate the unit.
Since operation is being kept so simple, two days of training are usually sufficient to be able to operate the system.
Integrated into an automatic sequence VMT 2D fulfills its task reliably. In case of irregularities, it is possible, with the aid of statistics and service tools, to analyze the source of the problem and remove the cause.
- Position dependend control of machining units
- Recognition of objects in liberal rotation (360°) and position. Position identification up to 0.1 mm also with large workpieces with multiple cameras from different perspectives
- Multi-level sensory procedures offer the highest recognition capability, precision and reliability possible
- Recognition of characteristics is trainable for the widest range of object characteristics, object variants and different backgrounds
- Automatic image memorizing, therefore short operation startup and time optimizing, as well as error documenting
- The number of the characteristics of a workpiece, for the purposes of recognition and inspection, may be liberally expanded and combined
- The applications are realized with the aid of stationary cameras or robot hand cameras
- Standardized protocolls for all current robot controllers
- Fully automated process of robot-aided camera calibration and workpiece referencing
- Validation of workpiece geometry (recognition of inadmissible deviations from characteristics)
- Measuring up to 6 degrees of freedom through combination of several measuring level
