EzDIO Expansion Board
EzDIO is the third expansion board CIRCUS Pi has designed for the Easy learning series.
High School & CTE programs
Aligned with Taiwan's 108 Curriculum Guidelines for Information Technology and Living Technology, from electronic circuits and sensor integration to capstone projects and skills competitions.
Aligned with Taiwan’s 108 Curriculum Guidelines for Information Technology and Living Technology, and covering topics from sensor integration to capstone projects and skills competitions.
Kits
Kits for High School & CTE
Each card shows class periods and curriculum links.
Heart Rate and Blood Oxygen Sensor Kit
The Heart Rate and Blood Oxygen Sensor Kit pairs a TTGO T-Display ESP32 board with a MAX30100 sensor module, so students can build a wearable heart rate and blood oxygen measuring device by hand.
Huang Xinhui’s Crazy Classroom Arduino Kit
A learning tool designed for Arduino beginners and enthusiasts. It includes a rich set of components and tutorial videos to help learners build electronics design and programming skills. Suitable for students, makers, and DIY electronics projects.
Infrared Thermometer Gun
The infrared thermometer gun uses an MLX90615 non-contact infrared sensor and an OLED display. Students assemble it and write the code themselves to build a thermometer that shows body or object temperature.
IoT Cabin
An IoT cabin teaching kit that uses the LinkIt 7697 as its main board. Students learn how to write programs and use sensors, and combine them with web services to explore the Internet of Things.
JetBot
JetBot is an open-source AI robot platform that NVIDIA built on its own AI development kit, the Jetson Nano.
Light Chameleon
The Light Chameleon kit uses an Arduino® Nano as its main board, with a color sensor module and RGB LEDs, built into a chameleon-shaped kit.
Line-Following Car
Build a car that follows a black line on its own, using an Arduino UNO and TCRT5000 infrared reflective sensors.
Line-Following Obstacle-Avoiding Car
Adds an HC-SR04P ultrasonic sensor to the line-following car, so it can follow a line and avoid obstacles automatically.
LinkIt 7697 Air Box
Build your own air box that detects air quality, then upload the data to the cloud over Wi-Fi so you can check the air quality where it sits at any time.
M5Stack Electronic Scale
Build and calibrate a mini electronic scale that displays weight readings, using an M5Stack StickC, a load cell, and UiFlow graphical programming.
M5Stack IoT Weather Station
The M5Stack IoT Weather Station is an interdisciplinary teaching kit. A control core integrates the data collected by sensors to simulate the functions of a weather observation station and upload records to the cloud, combining information technology with earth science.
micro:bit Air House
The micro:bit Air House (MbitBot Lite) is a teaching kit that simulates an air quality monitoring station. Students assemble it themselves and write programs in MakeCode so that the PM2.5 and temperature and humidity sensors in the house can detect air quality.
MoonCar (AMB82 MINI)
Mount an AMB82 MINI on the MoonCar and build an AI self-driving car that follows lines and reads signs: capture and label data, train YOLOv7-tiny in the cloud, then deploy to the NPU to recognize traffic signs.
Pixel:Bit Development Board
Pixel:Bit combines dual ESP32 and ATmega328P controllers with a 5-megapixel camera module, and can be used for edge computing projects such as video streaming, face recognition, and TinyML image recognition.
Pixetto Color-Recognition LED Light Kit
The Pixetto Color-Recognition LED Light Kit is a creative kit that combines a Pixetto vision sensor with an Arduino UNO and an RGB LED module.
Raspberry Pi Arcade Game Kit
Build a retro-style arcade cabinet with a Raspberry Pi. Through case assembly, operating system installation, and game installation, students recreate the nostalgic arcade experience.
ROSKY Smart Mobile Platform
The ROSKY Smart Mobile Platform features an NVIDIA Jetson Nano, a LiDAR sensor, and a wide-angle camera. Through the ROS course, students learn remote control, SLAM mapping, and navigation, and build robotics projects such as the Timed Rescue Challenge.
Smart Factory Teaching Lab Platform
Build an Industry 4.0 smart factory model by combining Internet of Things (IoT) big data collection with robotics and machine vision.
Smart Home Teaching Lab Platform
Build an AIoT smart home system using IoT data collection, cloud big data, and AI applications.
Smart Planter
With the Smart Planter, students build information technology skills and learn the natural science behind the conditions plants need to grow. This cross-disciplinary approach develops logical thinking and has students apply and integrate what they have learned.
Smart Robot
A ROS 2 robot built on a single-board computer and a three-axis omnidirectional wheel platform, with LiDAR and a camera for real-time mapping, map navigation, and computer vision.
VMX Smart Mobile Platform
The VMX Smart Mobile Platform uses the controller designated for the WorldSkills Competition robotics trade, paired with an aluminum alloy chassis and Mecanum wheels. Students use C++ and Python to learn motor control, PID straight-line driving, and image recognition.
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