Product Features
- Modular Physical Computing Training Equipment that immediately implements logistics and manufacturing sensing scenario without soldering or breadboard
- Support real-time and non-real-time job separation through Dual -Core ARM Cortex-M33 Main Processor
- Rapidly replace sensor/actuator and optimize PBL repetitive experiment through lever connector-based free wiring
- Freely place/rearrange module with clip bracket + layout board of DIN Rail structure for industrial equipment, Resistant to collision/vibration and Quickly configure Line Tracing, Conveyor and Sorting Layout
- Provide object identification/distance/position/posture/speed/recognition sensor and drive/feedback actuator to implement advanced PBL project
- Power module corresponds to various devices (ex: DC motor 12 V, servo 5 V, logic 3.3 V)
- Pop Plus library makes it possible to pipeline Sensing → Control → Actuator with a few lines in MicroPython, extending to physical AI creation
- Provide open-source MQTT broker that supports SSL/TLS encryption/authentication, QoS/topic-specific ACL
- Provide Python/MicroPython integrated development environment including real-time log·serial console·firmware transfer·package management
- Configurate no-code Android/IOS remote control GUI with Blynk example
- Provide physical AI application example based on PySide6·Vision perception·AI STT
Software
Hardware
Layout
Training Contents
- Digital/Analog IO, Switch/Indicator
- DC Motor + Encoder – Speed Control
- Bus Serial Servo – Position/Gate Operation
- Logistics Identification I
– Proximity Inductive, Color, PIR - Distance Sensing – Ultrasonic vs ToF
- Inertial sensing – 9-axis IMU and filtering
- ID tracking – RFID
- Camera-based vision – marker/color tracking
- Environmental sensing – temperature/humidity
gas/barometric pressure/illumination - RT/NRT separation and scheduling
Components
