3D Vision-Guided nut is welded
Project background: In automatic nut welding equipment, the loading, positioning and welding of nuts are mostly realized by manual hand or manual positioning tooling, resulting in low welding efficiency and high production cost. In this project, a cross-dimensional intelligent 3D vision software system is used to guide the robot to grasp and place the welding parts of four specifications on the loading platform in an orderly manner, and place the materials in the designated position to complete loading and unloading.
- Project advantages:
- The DexVerse embodies intelligent engine trains the algorithm model to simulate the workpiece in different environments in advance, which can effectively resist the change of environment and perspective, with high recognition accuracy and good system stability.
- Compatible with many different types of workpieces, exclusive support provides CAD to quickly train new algorithm models and support flexible production change.Reduce labor intensity, improve welding efficiency and reduce production cost.
- Application results:
The DexForce intelligent 3D vision system can greatly improve production efficiency by quickly and accurately identifying and positioning workpieces, as well as automated loading and unloading operations, thus ensuring product quality and stable operation of the production line. Compared with traditional manual operation, 3D vision technology can accurately deal with the problem of workpiece surface recognition, reduce the time and labor of manual operation, shorten the production cycle, and improve production efficiency.
