M5Stack M5StickV K210 AI Camera (without wifi)

Item number: MS01027

GTIN: 4060137059025

SKU: K027

Country of origin: CN

UN-no.: UN 3481

TARIC-Code: 85258013.90

Category: ESP32/ESP8266


40,63 €

including 19% VAT.,

Available now!

Shipping time: 1 - 2 workdays

piece


Description

Description

M5Stack recently launched the new AIoT(AI+IoT) Camera powered by Kendryte K210 -an edge computing system-on-chip(SoC) with dual-core 64bit RISC-V CPU and advanced neural network processor..

M5StickV AI Camera possesses machine vision capabilities, equips OmniVision OV7740 image sensor, adopts OmniPixel®3-HS technology, provides optimum low light sensitivity, supports various vision identification capabilities. (e.g. Real-time acquisition of the size, type and coordinates of the detected target ) In addition to an OV7740 sensor, M5StickV features more hardware resources such as a speaker with built-in I2S Class-D DAC, IPS screen, 6-axis IMU, 200mAh Li-po battery, and more.

It is able to perform convolutional neural network calculations at low power consumption, so M5StickV will be a good zero-threshold machine vision embedded solution. It is in support with MicroPython, which makes your code to be more concise when you use M5stick-V for programming.

Power switch operation:

  • Power on : Long press power button for 2 seconds
  • Power off : Short press power button for 6 seconds

Product Features

  • Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)
  • Dual Independent Double Precision FPU
  • Neural Network Processor(KPU) / 0.8Tops
  • Field-Programmable IO Array (FPIOA)
  • Dual hardware 512-point 16bit Complex FFT
  • SPI, I2C, UART, I2S, RTC, PWM, Timer Support
  • AES, SHA256 Accelerator
  • Direct Memory Access Controller (DMAC)
  • Micropython Support
  • Firmware encryption support
  • Case Material: PC + ABS

Include

  • 1x M5StickV
  • 1x USB Type-C(100cm)

Applications

  • Face recognition/detection
  • Object detection/classification
  • Obtaining size and coordinates of the target in real-time
  • Obtaining the type of detected target in real-time
  • Shape recognition
  • Video/Display
  • Game simulator

Specification

  • Kendryte K210: Dual core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)
  • SRAM: 8Mbit
  • Flash: 16M
  • Power input: 5V @ 500mA
  • KPU Parameter size of neural network: 5.5MiB - 5.9MiB
  • Port: TypeC x 1, GROVE(I2C+I/0+UART) x 1
  • RGB LED: RGBW x 1
  • Button: Custom button x 2
  • IPS screen: 1.14 TFT, 135*240, ST7789
  • Camera: OV7740
  • FOV: 55deg
  • PMU: AXP192
  • Battery: 200mAh
  • External storage: TF Card/Micro SD
  • MEMS: MPU6886
  • net weight: 23g
  • Gross weight: 82g
  • Product Size: 48*24*22mm
  • Package Size: 144*44*43mm
  • Case Material
  • Plastic ( PC )

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