Overview
The DFRobot UNIHIKER K10 is an AI coding board for STEM education, TinyML, and IoT learning. It is based on an ESP32-S3 with Xtensa LX7 architecture and includes 512 KB SRAM and 16 MB flash. For direct visual interaction, it features a 2.8-inch color display with a resolution of 240 x 320 pixels.
The board integrates a 2MP camera, an onboard microphone, and a speaker, making it suitable for applications involving computer vision and offline voice recognition. Pre-installed AI functions include face detection, image recognition, cat and dog detection, QR code recognition, motion detection, local speech recognition, and custom voice commands.
Wireless connectivity is provided via 2.4 GHz Wi‑Fi and Bluetooth 5.0. In addition, the board includes a button, RGB lights, temperature sensor, humidity sensor, light sensor, and accelerometer. Supported programming environments are graphical programming and MicroPython. For expansion and external connections, it offers MicroSD, USB Type-C, Gravity 3-pin and 4-pin ports, a 2-pin PH2.0 battery connector, and an edge connector.
Technical Data
| Parameter | Value | Unit |
|---|---|---|
| Product type | AI coding board | - |
| MCU | ESP32-S3 | - |
| CPU architecture | Xtensa LX7 | - |
| SRAM | 512 KB | - |
| Flash | 16 MB | - |
| Display size | 2.8 | inch |
| Display resolution | 240 x 320 | pixels |
| Camera | 2MP | - |
| Wireless | 2.4 GHz Wi‑Fi | - |
| Wireless | Bluetooth 5.0 | - |
| Audio | Microphone | - |
| Audio | Speaker | - |
| Sensor | Temperature sensor | - |
| Sensor | Humidity sensor | - |
| Sensor | Light sensor | - |
| Sensor | Accelerometer | - |
| Additional onboard elements | Button | - |
| Additional onboard elements | RGB lights | - |
| Interfaces | MicroSD | - |
| Interfaces | USB Type-C | - |
| Interfaces | Gravity 3-pin port | - |
| Interfaces | Gravity 4-pin port | - |
| Interfaces | 2-pin PH2.0 battery connector | - |
| Interfaces | Edge connector | - |
| Programming environments | Graphical programming | - |
| Programming environments | MicroPython | - |
Applications
- STEM classroom projects for coding, electronics, and AI basics
- TinyML learning and experimentation
- Computer vision projects such as face detection, image recognition, QR code recognition, cat and dog detection, and motion detection
- Offline voice recognition and custom voice command applications
- IoT learning systems and sensor-based interactive projects
Scope of Delivery
- UNIHIKER K10 x1
- Type-C USB cable x1