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UNIHIKER K10 AI Coding Board for K12 STEM & Beginner (Computer Vision, Offline Voice Recognition, TinyML)

$28.90
SKU: DFR0992-EN
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Introduction

The UNIHIKER K10 AI coding board is designed for K12 STEM education and beginners, combining vision AI, voice control, and TinyML machine learning in one compact device. This AI learning coding board features a 2.8-inch color display, dual wireless connectivity (Wi-Fi/Bluetooth), and a comprehensive sensor suite including a 2MP camera, microphone, speaker, RGB light, plus environmental detectors for temperature, humidity, light, and motion. With its edge connectors and Gravity IO interfaces, users can easily connect and control various digital/analog sensors, I2C/UART actuators, and other peripherals, creating complete IoT solutions without requiring additional hardware.

UNIHIKER K10 AI Learning Device Vision Voice and Machine Learning


4 Pre-Loaded Vision AI Models for Beginner Projects

Ideal for first-time AI exploration, the UNIHIKER K10 board comes with four ready-to-use vision models: Face Detection, Pet Recognition (Cat/Dog), QR Code Scanning, and Motion Sensing. The integrated 2MP camera allows beginners to immediately create security systems, interactive displays, and smart monitoring projects - no prior programming experience needed.

UNIHIKER K10 Pre-Installed with 4 Types of Vision AI Models

Supports Offline Speech Recognition

Equipped with a built-in microphone and pre-installed voice models, the UNIHIKER K10 supports offline speech recognition. This enables users to create voice-activated applications, such as custom voice commands and interactive AI systems, without requiring an internet connection.

UNIHIKER K10 Supports Offline Speech Recognition

Not Just Built-in Models

The UNIHIKER K10 supports TinyML, allowing users to train their own custom vision and sensor models. With the ability to develop personalized AI models for specific tasks, users can explore deeper AI applications and tailor the board’s functionality to their unique projects. Whether working with image recognition, sensor data, or other AI-based tasks, TinyML offers the flexibility to push the boundaries of the board’s capabilities.

Create More AI with UNIHIKER K10 Camera

Create More AI with the UNIHIKER K10 Sensor

Combine BT & Wi-Fi with AI to Create More Possibilities

By combining Bluetooth 5.0 and Wi-Fi 2.4G with onboard AI functionality, the UNIHIKER K10 offers extensive connectivity options for creating more interactive and data-driven applications. Whether building IoT systems, remote control applications, or data transmission projects, the UNIHIKER K10 provides seamless integration of AI with wireless communication protocols.

UNIHIKER K10 Combine BT & Wi-Fi with AI to Create More Possibilities

Support the Internet of Things

The UNIHIKER K10 is designed with IoT applications in mind. It supports long-term data collection and remote monitoring, making it ideal for projects that require continuous data recording and analysis. With its rich set of sensors (temperature, humidity, light, accelerometer) and connectivity options (Wi-Fi, Bluetooth), users can easily integrate the UNIHIKER K10 into IoT ecosystems for real-time monitoring, remote device control, and data-driven applications.

Pair it with the Gravity: BME688 AI Environmental Sensor (VOC, Temperature, Humidity, Pressure) to create advanced air quality monitoring projects.

UNIHIKER K10 Support the Internet of Things

Built-in 2.8-inch Color Screen for Data Visualization

The UNIHIKER K10 features a 2.8-inch color screen that enables users to visualize real-time data from sensors, AI models, and projects. This screen is ideal for displaying sensor readings, AI outputs, and project results directly on the board, providing immediate feedback.

UNIHIKER K10 Built-in 2.8-inch Color Screen for Data Visualization

Rich Interfaces and High Expandability

With an array of I/O ports, including USB Type-C, MicroSD, Gravity 3pin/4pin, and edge connectors, the UNIHIKER K10 offers rich expandability for connecting additional sensors, actuators, and accessories.

UNIHIKER K10 Rich Interfaces and High Expandability

Supports Graphical and MicroPython Programming

The UNIHIKER K10 supports both graphical programming and MicroPython, catering to users at different skill levels. It is also compatible with Mind+, a drag-and-drop programming tool that simplifies coding with blocks. The graphical programming interface allows beginners to quickly build projects without needing to write code, while MicroPython offers a more advanced programming environment for experienced developers.

The tool also offers a variety of sample projects to help users get started, such as:

  • AI face detection
  • QR code scanning
  • sensor control
  • For more hands-on tutorials, visit the Examples link to explore a wide range of projects. 

    Download Mind+ to get started: Mind+ Download.

    UNIHIKER K10 Supports Graphical and MicroPython Programming

    UNIHIKER Selection Guide

    UNIHIKER AI Learning STEM Kit Selection Guide

    Video: Introduction and Feature Demonstration of UNIHIKER K10

    Applications

  • AI Learning
  • Machine Learning
  • Face detection
  • Speech recognition
  • Specification

  • 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: 51.6mmx83mmx11mm
  • Shipping List

  • UNIHIKER K10 x1
  • Type-C USB cable x1
  • Resource

    AllProjectsBlogTutorialCourseMedia
    How to use TensorFlow Lite Micro on UNIHIKER K10 (ESP32 S3) with Arduino IDE

    Tutorial How to use TensorFlow Lite Micro on UNIHIKER K10 (ESP32 S3) with Arduino IDE

    UNHIKER
    Jan 22, 2025
    UNIHIKER K10 Tutorial: Graphical Programming for Beginners

    Course UNIHIKER K10 Tutorial: Graphical Programming for Beginners

    DFRobot
    Mar 13, 2025
    Self-service Book Lending System | AI Application Project

    Projects Self-service Book Lending System | AI Application Project

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    Niu.yx
    Feb 11, 2025
    The Sustainable Habitat on Mars Project

    Projects The Sustainable Habitat on Mars Project

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    Niu.yx
    Feb 11, 2025
    Automatic Cat Feeder

    Projects Automatic Cat Feeder

    portrait
    Nathan_Huang88
    Feb 10, 2025
    UNIHIKER K10 AI Sensor-Gesture Magic Wand

    Projects UNIHIKER K10 AI Sensor-Gesture Magic Wand

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    Yeez_B
    Feb 10, 2025
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    FAQ

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    UNIHIKER K10 AI Coding Board for K12 STEM & Beginner (Computer Vision, Offline Voice Recognition, TinyML)
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