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Modular Physical Computing Training Equipment

TiCLE Sensor

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TiCLE Sensor is a modular physical-computing training platform designed to help students and learners understand real-world sensing and control by building interactive systems. It combines plug-and-play sensors, output modules, and a controller/programming environment so users can quickly prototype experiments like measuring environment parameters, detecting motion/position, and triggering actuators (LEDs, buzzer, relay, motor, etc.).

It is ideal for labs and classrooms because it supports step-by-step learning- from basic sensor interfacing to complete IoT/embedded/automation mini-projects-while keeping hardware modular, reusable, and easy to expand.

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

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