Robot arm control
Teach joint motion, gripper I/O, safety stop, device scanning, online status, and repeatable classroom control routines.
[ Object: Actuator | Conf: 99.8% ]
Red CylinderGreen CubeBlue Cylinder
[ Object: Actuator | Conf: 99.8% ]
Red CylinderGreen CubeBlue Cylinder
Software
An all-in-one software path from control to AI vision.
Control, Python vision, OpenCV image processing, YOLO detection, workflow sequencing, calibration, gamepad linkage, and 3D Twin become one scenario-based teaching flow.
Workflow builder
Blockly-style sequencing for actuator profiles, loops, waits, conveyor timing, and device-level automation scenarios.
AI vision detection
YOLO object detection with ROI, confidence, overlap tuning, class filters, target counts, and live machine-vision labels.
Python vision + hardware programming
Supports Python vision, OpenCV image processing, and hardware programming for robot arms, actuators, grippers, cameras, and classroom devices.
Calibration wizard
Guided camera and workplane calibration with intrinsics preparation, pose lock, grid sampling, fit, verification, and teachable error feedback.
3D Twin
A virtual station mirrors hardware state for workspace teaching, path preview, scenario validation, and student demonstration.