The UNIHIKER K10 + M10 bundle includes two powerful educational tools designed to provide a comprehensive AI and IoT learning experience. The UNIHIKER K10 serves as an entry-level AI learning device with pre-installed vision models and TinyML capabilities, while the UNIHIKER M10 offers advanced computational power and IoT integration for complex projects. Together, they enable users to transition seamlessly from foundational AI concepts to advanced applications.

Differentiated Learning Pathways

UNIHIKER K10: AI Literacy Accelerator

• Ideal for: Grade 3+, Elementary STEM Clubs | Homeschool Foundations
• Instant AI Validation: Pre-loaded models deliver quick wins (QR code scanning → classroom attendance systems)
• Failure-Proof Coding: Drag-and-drop AI blocks generate MicroPython for tactile learners
• Classroom-Ready: 10+ plug-and-play sensors enable 45-min lesson plans

UNIHIKER M10: Production-Grade Sandbox

• Essential for: Grade 6+, High School Robotics | College Prototyping
• Enterprise Tech Stack: Debian OS + VSCode mirrors industry environments
• Model Iteration Workflow: Train MobileNet models on M10 → deploy to K10 via edge computing
• IoT Scaling: Local SIoT server handles 50+ device networks (smart campus simulations)

Scalable IoT Project Integration

K10: Collects sensor data (temperature, light, motion) and transmits via Wi-Fi/Bluetooth for simple IoT setups, visualized on its 2.8-inch screen.

M10: Expands to large-scale IoT systems with built-in Jupyter Notebook, SIoT service (local MQTT data storage), and Python-driven API integration for cloud connectivity.

Unified Hardware & Software Ecosystem

K10: Simplified block coding (Mind+) and MicroPython for rapid prototyping.

M10: Professional tools (VS Code, Thonny) and Debian OS for Python scripting, Git workflows, and multi-device control.

Shared Expandability: Both devices support Gravity sensors, motors, and third-party modules, enabling projects from smart homes to robotics.

Applications:

• Education: K12 AI curriculum alignment (CSTA, NGSS), bridging block coding (K10) to Python/ML (M10).
• Prototyping: Rapid development of AIoT systems, from voice-controlled devices (K10) to cloud-connected dashboards (M10).
• Research: Collect sensor data via K10 and analyze trends using M10’s computational power for environmental or robotics projects.

Specifications:

UNIHIKER K10:

• MCU: ESP32-S3 Xtensa LX7
• SRAM: 512KB
• Flash: 16MB
• Wi-Fi: 2.4G
• BT: Bluetooth 5.0
• Screen: 2.8 inch, 240x320
• Camera: 2MP
• Sensor: Button, Microphone, Temperature Sensor, Humidity Sensor, Light Sensor, Accelerometer Sensor
• Actuator: RGB Lights, Speaker
• Pre-Installed AI models:
• Face Detection
• Image Recognition
• Cat/Dog Detection
• QR Code Recognition
• Motion Detection
• Local Speech Recognition
• Custom Voice Commands
• Port: USB Type-C, MicroSD, Gravity 3pin & 4pin port, 2pin ph2.0 battery port, Edge connector
• Power: USB Type-C, Battery Port, Edge Connector
• Size: 51.6mm x 83mm x 11mm

UNIHIKER M10:

• CPU: Quad-Core ARM Cortex-A35, up to 1.2GHz
• RAM: 512MB
• Flash: 16GB
• OS: Debian
• Wi-Fi: 2.4G
• BT: Bluetooth 4.0
• Screen: 2.8inch, 240×320, Touch Screen
• MCU: GD32VF103
• Sensor: Button, Microphone, Light Sensor, Accelerometer Sensor, Gyroscope Sensor
• Actuator: Led, Buzzer
• Port: USB Type-C, USB-A, Gravity 3pin & 4pin port, Edge connector
• Power: 5V 2A for USB Type-C
• Size: 51.6mm x 83mm x 13mm

Documentations:

• UNIHIKER K10 Documentation
• UNIHIKER M10 Documentation
• UNIHIKER Projects
• UNIHIKER Tutorials

Package Includes:

UNIHIKER K10:

• 1 x UNIHIKER K10
• 1 x Type-C USB cable

UNIHIKER M10:

• 1 x UNIHIKER M10 Single Board Computer
• 1 x Type-C USB cable
• 4 x Double Sided PH2.0-3P white 20cm silicone wire
• 2 x Double Sided PH2.0-4P white 20cm silicone wire