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
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2.8” color screen (240×320) for real-time data display and AI learning visualization
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Pre-installed AI models: Face Detection, Image Recognition, Motion Detection, Cat/Dog Classification, and more for STEM education
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Built-in 2MP camera for computer vision and onboard sensors: temperature, humidity, light, accelerometer, microphone, and button
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Supports offline voice recognition and speech recognition with local command customization
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Compatible with TinyML , allowing users to train their own machine learning models
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Built-in Wi-Fi + Bluetooth 5.0 for seamless AI projects and wireless connectivity
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USB Type-C, MicroSD slot, battery port, and edge connector for extended STEM education use
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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
| Category | Specification |
|---|---|
| MCU | ESP32-S3 Xtensa LX7 (Perfect for AI Projects) |
| Memory | |
| SRAM | 512KB |
| Flash | 16MB |
| Connectivity | |
| Wi-Fi | 2.4GHz |
| Bluetooth | 5.0 |
| Display | 2.8-inch, 240×320 resolution (Color AI Learning Screen) |
| Camera | 2MP (Optimized for Computer Vision) |
| Actuators | RGB Lights, Speaker |
| Sensors | Button, Microphone, Temperature Sensor, |
| Humidity Sensor, Light Sensor, Accelerometer | |
| Pre-installed AI Models | Face Detection, Image Recognition, |
| Cat/Dog Classification, QR Code Recognition, | |
| Motion Detection, Local Speech Recognition, | |
| Custom Voice Commands | |
| Interfaces | USB Type-C, MicroSD card slot, |
| Gravity 3Pin & 4Pin port, 2Pin battery port, | |
| Edge Connector | |
| Power | USB Type-C, Battery Port, or Edge Connector |
| Size | 51.6mm × 83mm × 11mm |
Why Choose UNIHIKER K10 for STEM Education?
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Combines AI, voice, vision, and IoT in a single AI learning device
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Beginner-friendly with block-based coding & Python for STEM education
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Works offline – no internet required for speech recognition or computer vision tasks
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Built-in screen makes it easy to visualize machine learning data directly
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Expandable and flexible for future AI projects and upgrades
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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
MindPlus Blocks for AI Learning