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unihiker k10 wiki

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The UNIHIKER K10 is not just a coding board; it is a gateway to the physical AI revolution. Designed for K12 STEM education, beginners, and advanced makers, it combines vision AI, voice control, and TinyML machine learning in one compact device. Powered by the ESP32-S3, this AI terminal bridges the gap between Cloud Large Language Models (LLMs) and the physical world. Featuring a 2.8-inch color display, dual wireless connectivity (Wi-Fi/Bluetooth), and a comprehensive sensor suite (2MP camera, microphone, speaker, RGB light, plus environmental detectors), the UNIHIKER K10 is the ultimate hardware carrier. Whether building an offline Vision AI monitor, a DeepSeek-powered voice assistant, or an autonomous smart home system, the UNIHIKER K10 makes cutting-edge AI tangible without requiring complex wiring. As an officially supported hardware platform for ESP-CLAW AI Agent, the custom firmware can be easily flashed to transform it from a traditional development board into an autonomous AI terminal.

Overview of UNIHIKER K10 AI Learning Single Board Computer with Touchscreen

Downloadable Resources

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    • Basic Parameters

    Parameter Details
    Type-C Input Voltage 5V
    BAT Input Voltage 3.7V
    Operating Voltage 3.3V
    Operating Current 200mA
    Dimension 51.6X83mm

    Hardware Information

    Parameter Details
    Module ESP32-S3 N16R8
    Processor Xtensa® LX7 dual-core 32-bit
    Main Frequency 240 MHz
    SRAM 512 KB
    ROM 384 KB
    Flash 16 MB
    PSRAM 8 MB
    RTC SRAM 16 KB

    WIFI

    Parameter Details
    Protocol IEEE 802.11b/g/n
    Bandwidth Support 20 MHz and 40 MHz at 2.4 GHz band
    Mode Station, SoftAP, SoftAP+Station combined mode
    Frequency 2412–2472 MHz
    Maximum EIRP 18.52 dBm

    Bluetooth

    Parameter Details
    Bluetooth Protocol Bluetooth 5, Bluetooth mesh
    Bluetooth Frequency 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps
    Frequency 2402–2480 MHz
    Maximum EIRP 9.48 dBm

    On-board component

    Parameter Details
    Temperature & Humidity Sensor (AHT20) Temperature: -40°C to 85°C, Accuracy ±0.3°C
    Humidity: 0–100% RH, Accuracy ±2% RH
    Ambient Light Sensor (LTR303ALS) Detection Range: 0–64,000 Lux
    Triaxial Acceleration Sensor (SC7A20H) ±2g / ±4g / ±8g / ±16g
    Display Size: 2.8 inch
    Resolution: 240 × 320
    Driver IC: ILI9341
    Camera Resolution: 2 MP
    FOV: 80°
    Sensor: GC2145
    Buttons A, B, RST, BOOT
    MEMS Microphone MEMS Microphone × 2
    Speaker Power: 2 W
    RGB LED WS2812 RGB LED × 3

    Interface

    Parameter Details
    On-board Interfaces USB Type-C: Power supply (5 V DC) and program upload interface
    2-pin PH2.0 Battery Connector: 3.0–6.0 V DC input
    Recommended Power Source: 3.7 V LiPo battery or three 1.5 V AA/AAA batteries
    3-pin PH2.0 Full-function GPIO: ×2
    4-pin PH2.0 I²C Connector: ×1
    Self-ejecting TF Card Slot: ×1
    Edge Connector Full-function GPIO: ×2
    I²C: ×1
    Digital I/O: ×15

    For the detail information about UNIHIKER K10.
    Please visit UNIHIKER K10 official website

  • CE CE
  • FCC FCC
  • RoHS RoHS
  • DoC DoC

    • FAQ

    • How to quickly start using UNIHIKER K10?

      Power up the UNIHIKER K10 through the USB interface, and you will see the pre-installed factory program: Getting Started.

      If you want to start programming on your own, we provide MindPlus Graphical Basic Examples and MindPlus Graphical Tutorial to help beginners get started quickly through project practice.

      If you want to learn more in-depth about the system, we also offer MindPlus Blocks Reference and MicroPython code programming examples.

    • What expansion boards does UNIHIKER K10 support?

      UNIHIKER K10 has the same edge connector layout as the micro:bit, so it is compatible with most micro:bit expansion boards. You can refer to this list to see the supported expansion boards: Expansion board Compatible list.

    • What sensors does UNIHIKER K10 support?

      The UNIHIKER K10 can connect to various digital, analog, I2C, and UART sensors and modules. In this list, we have compiled the sensors compatible with MindPlus. In MindPlus, you can drag and drop code blocks to obtain sensor data: Sensor Compatible List.

    • What are the differences between UNIHIKER K10 and UNIHIKER M10, and how should I choose?

      In terms of performance:

      The core of UNIHIKER K10 is an MCU, which is on the same level as Arduino or micro:bit.

      The core of UNIHIKER M10 is a CPU, which is on the same level as Raspberry Pi, similar to a computer.

      In terms of AI learning:

      UNIHIKER K10 is suitable for users who are just starting to learn AI. It comes with some practical image / speech models that can be used quickly and also supports training custom image / sensor models based on TinyML.

      UNIHIKER M10 is suitable for users who have already used TinyML and need to further deepen their learning. UNIHIKER M10 supports training custom image / sound / sensor models based on ML / YOLO / MobileNet / MediaPipe and more AI models.

      For more details, you can visit the official websites: UNIHIKER K10 Official Website, UNIHIKER M10 Official Website.

    • What are the differences between UNIHIKER K10 and Huskylens?

      UNIHIKER K10 is a controller that can also run some AI models.

      Huskylens is an AI sensor that can run a wider variety of AI models, with faster recognition speed. It needs to be connected to a controller for use.

      For more technical questions, please refer to: https://www.unihiker.com/wiki/K10/faq/

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