First the Cameras Use Multi View Point Cloud Fusion to Capture the Surroundings. From This It Is Building A Complete 3D Model of the Environment. The Robot then Generates and Executes the Correct Path According to Wished Application.
The Internal R&D is Based on A Large-scale Neural Network, Which Supports the Customization and Expansion of A Deep Learning Algorithm. It Uses Positive and Negative Examples for Training, and Automatically Detects and Recognizes the Shape, Pattern and Characteristics of the Physical World.
The Industrial Camera is Used to Obtain the Image and Motion State of the Object, by Image Algorithm and Motion State Information, the System can Get the Coordinate Mapping Relationship and Provide Information to the Actuator.