DFRobot UNIHIKER K10 is an all-in-one AI learning device built for STEM education, hobbyist development, and beginner-friendly AI projects. As a powerful AI learning device, it features a 2.8-inch color display, Wi-Fi, Bluetooth 5.0, a 2MP camera, microphone, speaker, RGB light, temperature/humidity/light sensors, and accelerometer.

Designed for ease of use and versatility, the UNIHIKER K10 supports advanced applications in computer vision, speech recognition, and machine learning, making this AI learning device perfect for classroom education, workshops, and personal projects. With rich built-in resources and pre-installed AI models, the UNIHIKER K10 is an ideal gateway into the world of AI, TinyML, and edge computing.

Key Features of UNIHIKER K10 AI Learning Device

• 2.8 color screen (240320) for real-time data display and AI learning visualization

• Pre-installed AI models: Face Detection, Image Recognition, Motion Detection, Cat/Dog Classification, and more for STEM education

• Built-in 2MP camera for computer vision and onboard sensors: temperature, humidity, light, accelerometer, microphone, and button

• Supports offline voice recognition and speech recognition with local command customization

• Compatible with TinyML, allowing users to train their own machine learning models

• Built-in Wi-Fi + Bluetooth 5.0 for seamless AI projects and wireless connectivity

• USB Type-C, MicroSD slot, battery port, and edge connector for extended STEM education use

• Works with Mind+ (graphical programming) and MicroPython, making it the ultimate AI learning device

AI Learning & STEM Applications

• AI Learning & TinyML Projects
• Computer Vision & Image Processing Education
• Face & Object Detection with UNIHIKER K10
• Voice-Controlled Projects using Speech Recognition
• Sensor Data Monitoring for IoT STEM Education
• STEM Education Kits for Schools
• DIY Edge AI Devices and Machine Learning Experiments

UNIHIKER K10 Technical Specifications

Why Choose UNIHIKER K10 for STEM Education?

• Combines AI, voice, vision, and IoT in a single AI learning device

• Beginner-friendly with block-based coding & Python for STEM education

• Works offline no internet required for speech recognition or computer vision tasks

• Built-in screen makes it easy to visualize machine learning data directly

• Expandable and flexible for future AI projects and upgrades

• Ideal for schools, makers, and early TinyML developers

Reference

UNIHIKER K10 AI Learning Device Wiki

Getting Started with STEM Education

Tutorial – AI Projects with MindPlus Software

TinyML and AI Examples

MindPlus Blocks for AI Learning

Hardware Reference for Computer Vision

UNIHIKER K10 FAQ