For Exploring AI:
Vision, Voice,
and Machine Learning
Pre-Installed with 4 Types of Vision AI Models for Quick AI Experience and Practice
Supports Offline Speech Recognition
Not Just Built-in Models
Create More AI with the Camera
Capture images with the camera, use TinyML to train and deploy more visual models
Create More AI with the Sensor
Capture Time-Series data with sensors, use TinyML to train and deploy more sensor models
Combine BT & Wi-Fi with AI to Create More Possibilities
Built-in 2.8-inch Color Screen for
Data Visualization
Rich Interfaces and High Expandability
Supports Graphical and MicroPython Programming
Microphone x 2
Temperature&Humidity Sensor x 1
Light Sensor x 1
Accelerometer Sensor x 1
Speaker x 1
Local Face Recognition
Local Cat/Dog Detection
Local QR Code Recognition
Local Motion Detection
Customizable Image Detection Models
Local Speech Recognition
Custom Voice Commands
Online Speech Recognition With Networking
MicroSD
Gravity 3Pin/4Pin Port
2Pin PH2.0 Battery Port
Edge Connector
UNIHIKER K10 is an AI learning device designed for education. It integrates a 2.8-inch color screen, Wi-Fi and Bluetooth, a camera, microphone, speaker, RGB light, temperature sensor, humidity sensor, light sensor, and accelerometer. It also features edge connectors and Gravity IO interfaces, enabling the connection and control of various digital, analog, I2C, and UART sensors and actuators. With the rich onboard resources integrated into the UNIHIKER K10, there is no need to connect additional devices during learning and project development, as the UNIHIKER K10 itself can implement sensor control, IoT applications, and AI projects such as face detection and speech recognition.
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