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 start right away without any programming effort. The camera opens up new paths for exciting projects like QR-code scanning, visual controls, or interactive learning systems. Additionally, the offline voice recognition allows you to process voice commands without the Internet, making it ideal for mobile applications. With a variety of integrated sensors like temperature, light, and accelerometer, the UNIHIKER K10 becomes your portable all-in-one lab. The combination of Bluetooth, Wi-Fi, and smart display makes it the perfect device for IoT projects and data visualizations. Programming is straightforward - 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 immediately realize visual AI projects such as facial recognition, animal identification, QR code scanning, and motion detection - all 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: You can immediately utilize functioning AI for facial recognition, QR codes, motion detection, or animal identification (dog/cat).
Offline voice recognition: Thanks to the built-in microphone and local voice processing, your project responds to your commands without the Internet.
Numerous integrated sensors: Temperature, humidity, light, and motion provide you with comprehensive environmental analysis.
TinyML compatible: Train your AI models directly on the device and implement personalized applications.
Rich interfaces: USB-C, MicroSD, Gravity ports, and Edge Connector allow for a wide range of extensions.
Dual connectivity: Wi-Fi 2.4GHz and Bluetooth 5.0 give 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 the school sector
QR-code scanner for smart booking systems or library projects
Voice recognition for talking assistants or control systems
Animal recognition with the camera - for example, for automatic feeding stations
Visual interactions with screen feedback for smart exhibitions or learning stations

Documentation:

Technical Specifications:

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 inches, 240x320 pixels
Camera: 2 Megapixels, built-in, directly usable for AI projects
Sensors: Temperature, humidity, light, acceleration (motion), microphone, button
Actuation: RGB LEDs, speaker
Connections: USB-C, MicroSD, Gravity 3pin/4pin, battery connection (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, own TinyML models
Dimensions: 51.6 x 83 x 11 mm
Weight: 90g