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.
Switching operations: Power on:Long press power button for 2 seconds Power off: Short press power button for 6 seconds
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)
Firmware encryption support
Case Material: PC + ABS
1x USB Type-C(100cm)
1x HEX KEY
Obtaining size and coordinates of the target in real-time
Obtaining the type of detected target in real-time
Connect the device to the PC, open the device manager to install
for the device. Take the win10 environment as an example, download the driver file that matches the operating system, unzip it, and install it through the device manager. (Note: In some system environments, the driver needs to be installed twice for the driver to take effect. The unrecognized device name is usually M5Stack or USB Serial. Windows recommends using the driver file to install directly in the device manager (custom Update), the executable file installation method may not work properly).
Click here to download FTDI driver
Dual core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)
5V @ 500mA
KPU Parameter size of neural network
5.5MiB - 5.9MiB
TypeC x 1, GROVE(I2C+I/0+UART) x 1
RGBW x 1
Custom button x 2
1.14 TFT, 135*240, ST7789
Plastic ( PC )
M5StickV does not currently recognize all types of TF-card(microSD). We have tested some common TF-card(microSD). The test results are as follows.
EasyLoader is a concise and fast program writer, which has a built-in case program related to the product. It can be burned to the main control by simple steps to perform a series of function verification.
Description: Equipped with Maixpy firmware, test camera, screen graphics display function, and then press the HOME button to turn on the rear fill light.
Charging current measured value
Fully charged current(Power OFF)
Fully charged current(Power ON）
The Kendryte K210 is a system-on-chip (SoC) that integrates machine vision. Using TSMC’s ultra-low-power 28-nm advanced process with dualcore 64-bit processors for better power efficiency, stability and reliability. The SoC strives for ”zero threshold” development and to be deployable in the user’s products in the shortest possible time, giving the product artificial intelligence
Better low power vision processing speed and accuracy
KPU high performance Convolutional Neural Network (CNN) hardware accelerator
Advanced TSMC 28nm process, temperature range -40°C to 125°C
temperature range: – operating: -30° C to 70°C – stable image: 0° C to 50° C
output format: – 8-/10-bit raw RGB data – 8-bit YUV
lens size: 1/5"
input clock frequency: 6 ~ 27 MHz
max image transfer rate: VGA (640x480): 60 fps – QVGA (320 x 240): 120 fp
sensitivity: 6800 mV/(Lux-sec)
maximum exposure interval: 502 x tROW
pixel size: 4.2 μm x 4.2 μm
image area: 2755.2 μm x 2049.6 μm
package/die dimensions: – CSP3: 4185 μm x 4345 μm – COB: 4200 μm x 4360 μm
Single-Supply Operation (2.5V to 5.5V).
3.2W Output Power into 4Ω at 5V
2.4mA Quiescent Current
92% Efficiency (RL = 8Ω, POUT = 1W)
22.8µVRMS Output Noise (AV = 15dB)
Low 0.013% THD+N at 1kHz
No MCLK Required
Sample Rates of 8kHz to 96kHz
Supports Left, Right, or (Left/2 + Right/2) Output
Sophisticated Edge Rate Control Enables Filterless Class D Outputs
77dB PSRR at 1kHz
Low RF Susceptibility Rejects TDMA Noise from GSM Radios
Extensive Click-and-Pop Reduction Circuitry
Operation Voltage: 2.9V - 6.3V(AMR:-0.3V~15V)
Configurable Intelligent Power Select system
Current and voltage limit of adaptive USB or AC adapter input
The resistance of internal ideal diode lower than 100mΩ
Digital-output X-, Y-, and Z-axis angular rate sensors (gyroscopes) with a user-programmable full-scale range of ±250 dps, ±500 dps, ±1000 dps, and ±2000 dps and integrated 16-bit ADCs
Digitally-programmable low-pass filter
Low-power gyroscope operation
Factory calibrated sensitivity scale factor
lens size: 1/5"
Digital-output X-, Y-, and Z-axis accelerometer with a programmable full scale range of ±2g, ±4g, ±8g and ±16g and integrated 16-bit ADCs
Wake-on-motion interrupt for low power operation of applications processor
SPI/I2C dual communication mode
<mark?>Note: There are two versions of M5StickV currently released by M5Stack. When programming, users need to configure differently according to their corresponding pin mapping. The specific differences are as follows.
In the M2StickV circuit design of the I2C single-mode (blue PCB) version, MPU6886 only supports the user to configure its communication mode to I2C, and its pin mapping is SCL-28, SDA-29.
In the SPI/I2C dual mode (black PCB) version of the M5StickV circuit design, MPU6886 supports the user to configure its communication mode to SPI or I2C, and its pin mapping is SCL-26, SDA-27., when using, you can switch CS Pin level to switch modes (high level 1 is I2C mode, low level 0 is SPI mode)