M5Stack M5StickV K210 AI Camera (Without Wifi)
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.
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
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
8MiB
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(30W pixels)
FOV
55deg
PMU
AXP192
Battery
200mAh
External storage
TF-card(microSD)
MEMS
MPU6886
Net weight
23g
Gross weight
82g
Product Size
48*24*22mm
Package Size
144*44*43mm
Case Material
Plastic ( PC )
Driver Installation
Connect the device to the PC, open the device manager to install FTDI driver 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
TF-card(microSD) test
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.
Kingston
8G
HC
Class4
FAT32
OK
Kingston
16G
HC
Class10
FAT32
OK
Kingston
32G
HC
Class10
FAT32
NO
Kingston
64G
XC
Class10
exFAT
OK
SanDisk
16G
HC
Class10
FAT32
OK
SanDisk
32G
HC
Class10
FAT32
OK
SanDisk
64G
XC
Class10
/
NO
SanDisk
128G
XC
Class10
/
NO
XIAKE
16G
HC
Class10
FAT32
OK(purple)
XIAKE
32G
HC
Class10
FAT32
OK
XIAKE
64G
XC
Class10
/
NO
TURYE
32G
HC
Class10
/
NO
EasyLoader
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.
Charging current measured value
0.376A
0.078A
0.255A
FUNCTIONAL DESCRIPTION
KENDRYTE K210
The Kendryte K210 is a system-on-chip (SoC) that integrates machine vision. Using TSMC’s ultra-low-power 28-nm advanced process with dual core 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
Machine Vision
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
Firmware encryption support
Unique programmable IO array maximizes design flexibility
Low voltage, reduced power consumption compared to other systems with the same processing power
3.3V/1.8V dual voltage IO support eliminates need for level shifters
CPU
The chip contains a high-performance, low power RISC-V ISA-based dual core 64-bit CPU with the following features:
Core Count: Dual-core processor
Bit Width: 64-bit CPU 400MHz
Frequency: 400MHz
ISA extensions: IMAFDC
FPU: Double Precision
Platform Interrupts: PLIC
Local Interrupts: CLINT
I-Cache: 32KiB x 2
D-Cache: 32KiB x 2
On-Chip SRAM: 8MiB
OV7740
support for output formats: RAW RGB and YUV
support for image sizes: VGA, QVGA, CIF and any size smaller
support for black sun cancellation
support for internal and external frame synchronization
standard SCCB serial interface
digital video port (DVP) parallel output interface
embedded one-time programmable (OTP) memory
on-chip phase lock loop (PLL)
embedded 1.5 V regulator for core
Sophisticated Edge Rate Control Enables Filter less Class D Outputs
77dB PSRR at 1kHz
Low RF Susceptibility Rejects TDMA Noise from GSM Radios
Extensive Click-and-Pop Reduction Circuitry
array size: 656 x 488
power supply: – core: 1.5VDC ± 5% – analog: 3.3V ± 5% – I/O: 1.7 ~ 3.47V
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
MAX98357
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 Filter less Class D Outputs
77dB PSRR at 1kHz
Low RF Susceptibility Rejects TDMA Noise from GSM Radios
Extensive Click-and-Pop Reduction Circuitry
AXP192
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
MPU6886
GYROSCOPE FEATURES
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"
Self-test
ACCELEROMETER FEATURES
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
User-programmable interrupts
Wake-on-motion interrupt for low power operation of applications processor
Self-test
SPI/I2C dual communication mode
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)
The specific pin mapping is shown below:
Schematic
Related Link
Maixpy Docs
V-Training
Version Change
2019.7
Initial public release
/
2020.3
The circuit supports configuring MPU6886 to use SPI or I2C protocol for communication.I2C pin change SCL (28=>26), SDA (29=>27)
Program to drive the chip select pin CS for modification, high level 1 is I2C mode, low level 0 is SPI mode.
2020.3
Add with Microphone
/
2020.4
Standard package add with bracket
/
Last updated