UNIHIKER K10 AI Learning Board ESP32-S3 with Camera and Display
The UNIHIKER K10 from DFRobot is a learning board with ESP32-S3 (N16R8) in which a 2.8 inch colour display, a 2 megapixel camera, two microphones, a speaker, three RGB LEDs and sensors for temperature, humidity, light and acceleration are already built in. Pre-installed models recognise faces, cats and dogs, QR codes, motion and voice commands without internet. It is programmed graphically with Mind+ or with MicroPython, custom models can be trained with TinyML.
According to DFRobot the K10 is a microcontroller on the level of Arduino or micro:bit, not a computer with an operating system. The edge connector matches that of the micro:bit, so most micro:bit expansion boards fit.
Recommended Accessories:
- IO expansion board for UNIHIKER K10
- Multi Expansion Board for UNIHIKER M10/K10 and micro:bit
- Battery Compartment/Battery Holder 3xAAA with PH2.0-2P Connector
- 16GB MicroSDHC Memory Card Class 10 UHS-I incl. SD Adapter
Features:
- ESP32-S3 N16R8 with 16 MB flash and 8 MB PSRAM, 2.4 GHz Wi-Fi and Bluetooth 5
- 2.8 inch colour display, 240 × 320 pixels (ILI9341)
- 2 megapixel camera (GC2145), 80° field of view
- Two MEMS microphones and 2 W speaker
- Three WS2812 RGB LEDs, buttons A and B
- Sensors: temperature and humidity (AHT20), light up to 64,000 lx (LTR303ALS), acceleration ±2 to ±16 g (SC7A20H)
- Pre-installed: face detection, image recognition, cat and dog, QR code, motion, offline speech recognition, custom voice commands
- Connectors: USB-C, PH2.0 2-pin battery for 3.0 to 6.0 V, 2 × Gravity 3-pin, 1 × Gravity I2C, microSD, edge connector like micro:bit
- Programming with Mind+ and MicroPython, connection to cloud AI services with suitable firmware
Application Examples:
- AI in the classroom: trying out image and speech recognition
- QR code reader and access display
- Measuring station showing temperature, humidity and light
- Voice-controlled lamps and devices
Documentation:
- DFRobot Wiki DFR0992-EN with specifications
- UNIHIKER K10 documentation
- Getting started with the UNIHIKER K10
- Getting started with Mind+
- Examples with Mind+
- Examples with MicroPython
- Mind+ blocks reference
- Schematic (PDF)
Technical Data:
- Manufacturer: DFRobot
- Manufacturer SKU: DFR0992-EN
- Module: ESP32-S3 N16R8
- Processor: Xtensa LX7, two cores, 240 MHz
- SRAM: 512 KB
- PSRAM: 8 MB
- Flash: 16 MB
- Wi-Fi: IEEE 802.11 b/g/n, 2412 to 2472 MHz, at most 18.52 dBm EIRP
- Bluetooth: 5, Mesh, 2402 to 2480 MHz, at most 9.48 dBm EIRP
- Display: 2.8 inch, 240 × 320, ILI9341
- Camera: 2 MP, GC2145, 80°
- Power supply: USB-C 5 V DC, 0.5 A or battery connector 3.0 to 6.0 V
- Operating voltage: 3.3 V
- Operating current: 200 mA
- Edge connector: 2 × GPIO, I2C, 15 × digital
- Dimensions: 51.6 × 83 × 11 mm
- Weight: 90 g
Scope of Delivery:
- 1× UNIHIKER K10 AI Single Board Computer with Camera
- 1× USB-C cable
UNIHIKER K10 AI Learning Board ESP32-S3 with Camera and Display
- Brand: DFRobot
- Product Code: 424529
- Availability: In Stock
-
CHF29,90
- Ex Tax: CHF27,66
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Tags: camera, facial recognition, speech recognition, TinyML, ESP32, IoT, AI, MicroPython, sensors, Bluetooth, Wi-Fi, learning kit, QR code, schools, learning, education, microcontroller, ESP32-S3, DFR0992-EN, Mind+, GC2145














