- AI convergence training equipment to build a smart factory, which has structure for application implementation and provides connectivity
- Simulation environment that is a scaled-down conveyor automatic sorting system to be placed on a table
- Provides HMI with built-in touchscreen to enable sensor and actuator control in GUI environment
- Machine learning-based classification and data processing are experimentally scalable using HMI and Optional -AI accelerator
- Low-level and high-level control are possible through MicroPython, Python, Pop plus library
- Precise conveyor belt speed control using DC motor and driver
- Accomplishes sophisticated classification by quickly reading optical sensor-based object detection data
- Simplifies complex classification operation using servo motor
- Provides a user-friendly interface with GUI designed on PySide6
- Supports ModBus and OPC-UA that can be integrated with PLC
- Practice by detecting and classifying objects on conveyor
- Flexible scalability is provided by actively utilizing open source technologies such as OpenCV and MQTT
- Supports dashboard and remote monitoring through open source IoT platform, analytics and interactive visualization tool
- Monitors sensor data remotely and interworks with cloud collaboration system and internet messenger in case of error
- Supports factory workflow and performance analysis through real-time data dashboard and graph
- Can add new sensors and actuators easily through software modularization.