SKU: TH2197
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DFRobot UNIHIKER K10 + M10 AI & IoT Learning Tools Kit is a two-board learning bundle designed to take students and makers from beginner-friendly AI experiments to more advanced IoT, Python, and machine learning workflows.
The UNIHIKER K10 is built for entry-level AI learning. It combines an ESP32-S3, 2.8 inch display, 2MP camera, microphone, speaker, RGB lights, and multiple onboard sensors, plus pre-installed AI models for tasks such as face detection, image recognition, QR code recognition, motion detection, and local speech recognition.
The UNIHIKER M10 extends the learning path with a Debian-based platform powered by a quad-core ARM Cortex-A35 processor, onboard GD32VF103 MCU, touch screen, USB-A, and wireless connectivity. Together, the pair supports a natural progression from block coding on K10 to Python and ML development on M10.
Key technical details for the K10 and M10 bundle.
| Brand | DFRobot |
|---|---|
| Product | UNIHIKER K10 + M10 AI & IoT Code Learning Tools Kit |
| K10 MCU | ESP32-S3 Xtensa LX7 |
| K10 Memory | 512KB SRAM, 16MB Flash |
| K10 Display | 2.8 inch, 240 x 320 |
| K10 Camera | 2MP |
| K10 Wireless | 2.4G Wi-Fi, Bluetooth 5.0 |
| K10 Sensors | Button, microphone, temperature, humidity, light, accelerometer |
| K10 Actuators | RGB lights, speaker |
| K10 Ports | USB Type-C, MicroSD, Gravity 3pin & 4pin port, 2pin PH2.0 battery port, edge connector |
| K10 Size | 51.6mm x 83mm x 11mm |
| M10 CPU | Quad-Core ARM Cortex-A35, up to 1.2GHz |
| M10 RAM / Flash | 512MB RAM, 16GB Flash |
| M10 OS | Debian |
| M10 Display | 2.8 inch, 240 x 320, touch screen |
| M10 MCU | GD32VF103 |
| M10 Wireless | 2.4G Wi-Fi, Bluetooth 4.0 |
| M10 Sensors | Button, microphone, light, accelerometer, gyroscope |
| M10 Actuators | LED, buzzer |
| M10 Ports | USB Type-C, USB-A, Gravity 3pin & 4pin port, edge connector |
| M10 Power | 5V 2A via USB Type-C |
| M10 Size | 51.6mm x 83mm x 13mm |
Both boards support external modules through Gravity 3pin and 4pin ports as well as an edge connector, making it easier to add sensors, actuators, and interface hardware during experiments and prototype builds.
Please note: package contents beyond the K10 + M10 learning kit bundle are not specified in the provided product data.
This bundle combines the UNIHIKER K10 and UNIHIKER M10 as AI and IoT code learning tools. It is positioned for learning progression from beginner-level AI on K10 to more advanced IoT, Python, and ML work on M10.
The K10 is designed for entry-level AI learning and includes a 2MP camera, temperature and humidity sensing, speaker, RGB lights, and several pre-installed AI models. The M10 is aimed at more advanced IoT workflows with Debian, a quad-core ARM Cortex-A35 processor, 512MB RAM, 16GB flash, a touch screen, USB-A, and an onboard GD32VF103 MCU.
Yes, the K10 comes with pre-installed AI models including face detection, image recognition, cat/dog detection, QR code recognition, motion detection, local speech recognition, and custom voice commands. This makes it suitable for entry-level AI projects without needing to start from scratch.
Both boards support 2.4G Wi-Fi and include Gravity 3-pin and 4-pin ports plus an edge connector for expansion. The K10 has USB Type-C, MicroSD, and a 2-pin PH2.0 battery port, while the M10 provides USB Type-C and USB-A.
Both the K10 and M10 use a 2.8-inch 240x320 screen, with the M10 specifically listed as a touch screen. The K10 measures 51.6mm x 83mm x 11mm, and the M10 measures 51.6mm x 83mm x 13mm.
Yes, the bundle is positioned for a learning path from block coding on the K10 to Python and ML workflows on the M10. It is also described for education, prototyping, and research use cases involving AIoT projects.
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