APPLICATIONS
Face recognition (Support 20 classifications, output position and confidence)
Classifier (The user-defined recognition of any object supports upto 20 classes within 100 sample size; offline training, no computer operation or pre-loading of classification model to SD is needed)
Visual tracking (Circle / Rectangle / line / color block)
Voice Processing / IoT (Speech recognition & synthesis, Voice recording & playing, Voice transformation, Offline keyword recognition, Access of network or local sound database)
Scanning (Image recognition, OCR character recognition, license plate recognition, expression recognition, etc)
PARAMETERS:
Hardware
MCU :k210
Flash :16MB
Overall dimension :58*40*24mm
Main control supported :micro:bit, Meowbit, Arduino series and any microcontroller with serial port function
Display :1.3 "IPS screen (240x240)
Camera :RGB (640x480 )
Audio input / output :48K single channel sample rate output,8K sample rate microphone input
Wireless communication WiFi (Based on Esp8285)
Data output mode :UART / WiFi / USB
Image transmission channel :USB / WiFi
Button :2 (programmable)
SD card :TF Card
Memory Card support :=16G
Power supply voltage :3.3~5V
PROGRAMMING ENVIRONMENT
Kittenblock :Makecode
Micropython :Arduino (PlatformIO)