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Blue plastic AI module with 1.3 inch IPS screen and camera lens

KittenBot

KittenBot KOI AI Module Blue 240x240 640x480

SKU CH-8E2C-8SCJD

AI module with 1.3" 240x240 display and 640x480 camera adds offline speech and vision to micro:bit or Arduino projects

  • TypeBrain Games
  • ColorBlue
  • Color MappingBlue
  • MaterialPlastic
  • GenderUnisex
  • FormatGames & Puzzles
  • Offline AI brain for micro:bit and Arduino projects
  • 3" IPS 240×240 display plus 640×480 camera for vision tasks
  • Speech recognition and synthesis with offline keyword support
  • Self-training classifier handles up to 20 classes from 100 samples
  • Wi-Fi via ESP8285 plus UART and USB data output

KittenBot KOI AI Module Blue

The KittenBot KOI AI Module Blue is a compact offline artificial intelligence module designed for makers and students exploring AIoT projects. It combines a K210 microcontroller with a 1.3 inch IPS display and a 640x480 RGB camera to provide speech recognition, visual recognition and speech synthesis capabilities. The module supports block programming and self-training machine modes, making it accessible for users without advanced coding experience. It connects to micro:bit, Meowbit, Arduino series or any microcontroller with a serial port.

Installation via serial UART WiFi or USB

The module connects through UART, WiFi or USB interfaces and operates on a 3.3 to 5 volt power supply. Two programmable buttons and a TF card slot supporting up to 16GB storage allow for standalone operation without constant computer connection. Offline training means no pre-loading of classification models to the SD card is required, simplifying the setup process. Ensure the host microcontroller provides a compatible serial port and stable power within the specified voltage range.

Handles 20 class recognition with 100 samples

The classifier supports up to 20 user-defined classes with a sample size of 100 for offline object recognition. Face recognition handles 20 classifications with position and confidence output, while visual tracking covers circles, rectangles, lines and colour blocks. Voice processing runs at 48K output and 8K microphone sample rates for speech recognition, synthesis and keyword detection. The 16MB flash and K210 MCU limit model complexity, so very large neural networks or high-resolution video streams will exceed onboard capacity.

Highlights

  • Offline AI brain for micro:bit and Arduino projects
  • 3" IPS 240×240 display plus 640×480 camera for vision tasks
  • Speech recognition and synthesis with offline keyword support
  • Self-training classifier handles up to 20 classes from 100 samples
  • Wi-Fi via ESP8285 plus UART and USB data output

Specifications

TypeBrain Games
ColorBlue
Color MappingBlue
MaterialPlastic
GenderUnisex
FormatGames & Puzzles

Questions about this item

How can I confirm the KOI module is working correctly after wiring it to my micro:bit?

Power the board with 3.3–5 V, watch the 1.3" 240x240 IPS screen for the startup image, press the two programmable buttons to trigger the on-board demos, and verify the serial console shows the K210 MCU responding over UART.

What ships in the box and what must I source separately for first use?

The module itself includes the K210 MCU, 16 MB flash, 640x480 RGB camera, 1.3" IPS display, ESP8285 Wi-Fi, microphone, speaker, two buttons and a TF-card slot; you must supply a micro:bit, Meowbit or other serial-capable MCU, a micro-USB cable and a micro-SD card up to 16 GB.

Which on-board capacity or version choice affects how many object classes I can teach offline?

The classifier supports up to 20 classes with 100 samples each using the built-in 16 MB flash and optional TF card; no alternative memory sizes exist, so the single hardware version covers the full specification.

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