K027

M5StickV SKU:K027 Tutorial&Quick-Start Choose the development platform you want to use, view the corresponding tutorial&quick-Start. V-Function V-Training Maixpy 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. Switching operations： ! 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) 1x Bracket 1x HEX KEY 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 USB Drive problems UnitV/M5StickV/M5StickC/ATOM may not work without driver in some systems. Users can manually install FTDI driver to fix this problem. Take the win10 environment as an example, download the driver file that matches the operating system, decompress 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). Specification Resources Parameter 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 ) 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. Brand Storage Type Class Format Test Results Kingston Brand 8G Storage HC Type Class4 Class FAT32 Format OK Test Results 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. Download Windows Version Easyloader 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 charging current Fully charged current(Power OFF) Fully charged current(Power ON） 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 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 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 maximises 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 Filterless 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) 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 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: Links datasheet MPU6886 SH200Q OV7740 Web page Sipeed Quick Start Guide M5StickV Guide Github API Example Code Schematic K210_CAM Learn Detecting Object for Vehicle Blind Spot by M5StickV Detect cars and people which is blinding by drivers. You need only putting M5Stack and you aren't doing dedicated construction. Getting Started with the M5StickV AI + IOT Camera The M5Stick-V is an AIOT (AI + IOT) camera with machine vision capabilities. MiMaMori Alert for Your Home Security "MiMaMori Alert" is automatic security camera for your home. Automatic learning without teacher images, and notify if something is visitor. Mobile Social Distancing using Face detection (M5stickV) Mountable device for your Personal AI Social Distancing Alarm by detecting how far the person's face from you..... (M5StickV) Wireless Barcode Scanner M5StickV and M5StickC with HID Bluetooth Wireless or Atomic QR-Code reader V-Training V-Training Version Change Release Date Product Change Note: 2019.7 Initial public release / The circuit supports configuring MPU6886 to use SPI or I2C Program to drive the chip select pin CS for protocol for communication.I2C pin change SCL (28=>26), SDA modification, high level 1 is I2C mode, low level 0 (29=>27) is SPI mode. 2020.3 Add with Microphone / 2020.4 Standard package add with bracket / 2020.3