3D Vision-Guided Robotics Software
Product Description
The product is a comprehensive 3D vision software suite developed for vision-guided robotic operations, acting as the highly intelligent “eyes and brain” for industrial robots. It generates accurate 3D point-cloud data to compute precise picking coordinates for each working cycle and sends reliable control commands to direct robotic arms to complete grasping, placing, assembly, and other automated tasks efficiently.
The suite integrates three highly coordinated core modules: imaging processing, vision guidance, and algorithm computing platforms. It comes with built-in high-precision pre-trained models to support rapid deployment without tedious sample collection, shortens project cycles significantly, and is compatible with multiple operating systems and hardware architectures including Windows and Linux versions, providing users with flexible deployment options and rich built-in tools for daily use.
Technical Specifications
| Advantages | 1)Higher detection accuracy It can greatly reduce the over-detection rate and improve the accuracy by the application of technology in enhancing the image, extracting the multi-dimensional feature, identifying the feature accuracy and reinforcing the detection of pixel coincidence. 2)Faster detection It can optimize the image preprocessing, neural networks and underlying algorithms. On the basis of ensuring the detection accuracy and precision, it can detect small articles much faster than traditional algorithms. 3)More universal model It can improve the detection of the neural network models by the transfer learning technology, so that the model can be transferred to more product models and solve the application scenarios of fewer samples and more models. 4)Lower dependence on data It can reduce the dependence of Al algorithm on the size of data by the small-sample training technology, realize quick training and deployment with very little data, and thus own high accuracy. |
| Application Cases | Segmentation;Classification;Detection;Target location;OCR;Feature matching;Template matching;ROI segmentation;Size measurement;Code reading |
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