UNIHIKER K10 AI single-board computer with touchscreen and camera

The UNIHIKER K10 is your smart companion into the world of Artificial Intelligence, TinyML, and IoT. With its compact design, it combines powerful hardware with intuitive usability – perfect for educational projects, tinkerers, and creative developers. A real highlight is the integrated 2MP camera, allowing you to implement AI-based image recognition, facial recognition, and even motion detection. Thanks to pre-installed vision models, you can get started immediately – without any programming effort. The camera opens up new avenues for exciting projects, such as QR code scanning, visual controls, or interactive learning systems. Additionally, the offline voice recognition allows you to process voice commands without the internet – ideal for mobile applications. The multitude of integrated sensors like temperature, light, and acceleration sensors make the UNIHIKER K10 your portable all-in-one lab. The combination of Bluetooth, WLAN, and an intelligent display makes it the perfect device for IoT projects and data visualizations. Programming is simple – either graphically with Mind+ or with MicroPython for advanced users. Whether at home, in the classroom, or in the makerspace – the K10 brings AI, sensor technology, and image processing to your level. And all this on a device that fits in your hand.

Features:

Integrated 2MP Camera: With the built-in camera, you can directly realize visual AI projects such as facial recognition, animal identification, QR code scanning, and motion detection – without external components.
2.8-Inch Color Screen: Displays AI results, sensor data, and project outputs in real-time – ideal for quick feedback.
Pre-installed AI Models: Instantly use functional AI like face recognition, QR codes, motion detection, or animal identification (dog/cat).
Offline Voice Recognition: Thanks to the built-in microphone and local speech processing, your project responds to your commands even without the internet.
Numerous Integrated Sensors: Temperature, humidity, light, and motion offer you comprehensive environmental analyses.
TinyML Compatible: Train your own AI models directly on the device and implement personalized applications.
Rich Interfaces: USB-C, MicroSD, Gravity Ports, and Edge Connector enable diverse expansions.
Dual Connectivity: WLAN 2.4GHz and Bluetooth 5.0 offer you wireless freedom for IoT applications.
Programming Friendly: Choose between a graphical drag-and-drop interface (Mind+) or text-based programming with MicroPython.
Robust and Portable: Compact form factor, versatile power supply, and ready to use – perfect for on the go.

Application Examples:

Facial recognition for access control in schools
QR code scanner for smart booking systems or library projects
Speech recognition for talking assistants or control systems
Animal recognition with camera – for example, for automatic feeding stations
Visual interactions with screen feedback for smart exhibitions or learning stations

Documentation:

Technical Data:

Manufacturer: DFRobot
Manufacturer SKU: DFR0992-EN
MCU: ESP32-S3 Xtensa LX7
SRAM: 512KB
Flash: 16MB
Wi-Fi: 2.4 GHz
Bluetooth: 5.0
Screen: 2.8 inch, 240x320 pixels
Camera: 2 megapixels, built-in, directly usable for AI projects
Sensors: Temperature, humidity, light, acceleration (motion), microphone, button
Actuators: RGB LEDs, speaker
Ports: USB-C, MicroSD, Gravity 3pin/4pin, battery port (2pin), Edge Connector
Power Supply: via USB-C, battery port, or Edge Connector
Supported Models: Face, motion, animal, and QR code recognition, offline speech processing, custom TinyML models
Dimensions: 51.6 x 83 x 11 mm
Weight: 90g