
UNIHIKER K10 + M10 AI & IoT Code Learning Tools Kit (Beginner to Advanced)
- Delivery nationwide via The Courier Guy — R150 flat, free over R2,000
- Free collection from our Milnerton (Cape Town) warehouse
- Secure checkout — PayFast card payment or EFT
- Questions? WhatsApp us on +27 65 900 8570
Description
The UNIHIKER K10 + M10 AI & IoT Kit provides a progressive learning pathway from entry-level block coding to advanced machine learning and IoT development. Suitable for primary students through to university makers, this dual-device pack bridges foundational visual programming and industry-standard Python workflows. Both devices feature 2.8-inch colour displays, integrated sensors, and rich peripheral expandability for classroom and maker projects.
Progressive learning pathways
The UNIHIKER K10 introduces beginners to AI literacy using drag-and-drop block coding in Mind+ that converts directly into MicroPython. Advanced learners can step up to the UNIHIKER M10, which provides a full Debian OS environment tailored for high school robotics, university prototyping, and industry-standard workflows.

Vision and voice AI support
The K10 includes an onboard 2MP camera alongside pre-installed TinyML models for face detection, image recognition, cat and dog detection, QR code scanning, and custom voice commands. Users can validate AI concepts immediately without needing complex setup or internet connectivity.

Integrated and expandable sensing
Both boards feature built-in sensors, including microphones, light sensors, and accelerometers, with additional temperature and humidity tracking on the K10. Standard Gravity 3-pin and 4-pin ports allow quick connection of external sensors, actuators, and motors.

Scalable IoT integration
With onboard Wi-Fi and Bluetooth, the kit enables simple remote telemetry as well as complex multi-device networks. The M10 includes a built-in SIoT MQTT service capable of handling local data storage for over 50 connected nodes across smart campus simulations.

Unified software ecosystem
Start with block programming on the K10 and transition to professional environments like VS Code, Thonny, and Jupyter Notebook on the M10. This ecosystem supports model iteration workflows, allowing users to train MobileNet models on the M10 and deploy them directly to edge hardware.

Dual hardware platform architecture
The K10 runs on an ESP32-S3 Xtensa LX7 MCU with 512KB SRAM and 16MB Flash, while the M10 single board computer features a quad-core ARM Cortex-A35 CPU, 512MB RAM, 16GB Flash storage, and a responsive 2.8-inch touchscreen.

Specifications
| MCU | ESP32-S3 Xtensa LX7 |
| SRAM | 512KB |
| Flash | 16MB |
| Wi-Fi | 2.4G |
| BT | Bluetooth 5.0 |
| Screen | 2.8 inch, 240x320 |
| Camera | 2MP |
| Sensor | Button, Microphone, Temperature Sensor, Humidity Sensor, Light Sensor, Accelerometer Sensor |
| Actuator | RGB Lights, Speaker |
| Port | USB Type-C, MicroSD, Gravity 3pin & 4pin port, 2pin ph2.0 battery port, Edge connector |
| Power | USB Type-C, Battery Port, Edge Connector |
| Size | 51.6mm x 83mm x 11mm |
| CPU | Quad-Core ARM Cortex-A35, up to 1.2GHz |
| RAM | 512MB |
| OS | Debian |
In the box
| UNIHIKER K10: | 1 |
| UNIHIKER K10 | 1 |
| Type-C USB cable | 1 |
| UNIHIKER M10: | 1 |
| UNIHIKER M10 Single Board Computer | 1 |
| Type-C USB cable | 1 |
| Double Sided PH2.0-3P 20cm silicone wire | 4 |
| Double Sided PH2.0-4P 20cm silicone wire | 2 |
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