EasyLoader (beta)

Current Product Don't Have Test Firmware

Note: pls, use PC chrome/edge browser, if can't connect, refresh the webpage.

1. Click connect button

2. After connected successfully, pick a firmware

3. Click the burn button

4. After burning successfully, Unplug the device and restart.

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UNIT-V

SKU:U078

Tutorial

Choose the development platform you want to use, view the corresponding tutorial&quick-Start.

V-Function V-Training Maixpy

Description

UNIT-V is the new AI Camera powered by Kendryte K210, an edge computing system-on-chip(SoC) with dual-core 64bit RISC-V CPU and state-of-art neural network processor.

UNIT-V AI Camera features its integration with machine vision capabilities, featuring the unprocessed acceptability to AI Visioning with high energy efficiency and low cost. We co-oped with Sipeed providing the MicroPython environment makes programming on UNIT-V easier.

Support MicroPython development environment, which makes the program code more concise when you use UNIT-V for project development.Equipped with OV2640 (2 megapixel) image sensor, it is an ideal choice for machine vision project.

It is equipped with two programmable keys and an RGB LED indicator on the front for convenient status display.At the bottom, there is a HY2.0*4P interface and a type-C interface compatible with grove, which is convenient to connect with the main controller. Support TF card to expand memory, related material and model file call more convenient.

This product is EOL now, we've released the updated version UnitV k210 Edge Computing AI Camera(OV7740)) which is fully compatible with this product.

Product Features

  • Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)
  • Dual Independent Double Precision FPU
  • 8MiB 64bit width On-Chip SRAM
  • Neural Network Processor(KPU) / 0.8Tops
  • Field-Programmable IO Array (FPIOA)
  • AES, SHA256 Accelerator
  • Direct Memory Access Controller (DMAC)
  • Micropython Support
  • Firmware encryption support
  • Case Material: PC + ABS
  • On-board Hardware resources:
    • Flash: 16M
    • Camera :OV2640
    • Button: button * 2
    • Indicator light: WS2812 LED
    • External storage: TF card/Micro SD
    • Interface: HY2.0/compatible GROVE

Include

  • 1x UNIT-V(include 20cm 4P cable and USB-C cable)

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 recorder

Specification

Resources Parameter
Kendryte K210 Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)
SRAM 8MiB
Flash 16M
Input voltage 5V @ 500mA
KPU Neural network parameter size 5.5MiB - 5.9MiB
Interface TypeC x 1, GROVE(I2C+I/0+UART) x 1
RGB LED WS2812 x 1
Button x 2
Image Sensor OV2640
FOV 65deg
External storage TF Card/Micro SD
Net weight 8g
Gross weight 45g
Product Size 40mm * 24mm * 13mm
Package Size 70mm * 50mm * 30mm
shell 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

About 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

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

About OV2640

  • Output Formats(8-bit):
    • YUV(422/420)/YCbCr422
    • RGB565/555
    • 8-bit compressed data
    • 8-/10-bit Raw RGB data
  • Maximum Image Transfer Rate according to specific format
    • UXGA/SXGA: 15fps
    • SVGA: 30fps
    • CIF: 60fps
  • Scan Mode: Progressive
  • Camera specifications
    • CCD size : 1/4 inch
    • Field of View : 65 degree
    • Maximum Pixel: 2M

SD card test

UNIT-V does not currently recognize all types of MicroSD cards. We have tested some common SD cards. The test results are as follows.


Brand Storage Type Class Format Test Results
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

PinMap

UnitV GPIO8 GPIO19 GPIO18 GPIO34,GPIO35
Hardware RGB LED Button A Button B
HY2.0-4P Interface

Shell size

Example

If you want the complete code, please click here

Video

FAQ

Q1: How do I remove the speaker floor noise when the M5Core is on or running?

Execute the following statement in Setup() of the Arduino program

Q2: How does M5Core2 stack modules?

When M5Core2 is stacked with other M5 modules, you need to remove the battery base of Core2, which does not support module stacking.

Q3: A timeout error is displayed when uploading the program to the device

Reason and solution: The power supply current of the port is insufficient, which can cause the device to not enter the download mode normally. You can try to connect a capacitor (>0.1uF) between the RST pin and the GND pin, or when uploading the program, set the G0 Short-circuit to GND, so that G0 can be set to a low level state normally

Q4: How to solve the phenomenon of automatic signal triggering of M5Core button A

Add the header file #include <driver/adc.h> and the function adc_power_acquire(); in the Arduino program

Q5: M5 device battery life

The battery life of the controller is affected by various factors such as battery capacity, operating status, and load, so there is no fixed value. Reducing the load and adopting a sleep strategy can effectively increase the battery life.

Q6: Can multiple modules with batteries be stacked at the same time?

Support multiple stacks, the total capacity of the batteries in parallel increases, and the voltage remains unchanged. However, since the discharge of each battery is not balanced during use, there is a voltage difference between the batteries, which may cause the battery to charge backwards. .(will lose part of the battery capacity)

Q7: M5 master supports WiFi connection to 5G frequency band

ESP32 module currently does not support WiFi in 5G band, only 2.4G.

Q8: The RS485 device cannot communicate normally/data is garbled. Packet loss, etc.

Confirm whether the TX/RX pin on the TTL side of the pin is correct, try to add two 120Ω terminal resistors at the beginning and end of the device line to reduce signal reflection interference

Q9: The difference between different masters and camera products

Click the link below to view the product comparison table

Q10: M5 camera image blur, how to adjust the focal length

Rotate the lens to adjust the focal length within a certain range

Q11: The control RGB LED pin of FACE II BOTTOM conflicts with the I2S DOUT pin of CORE2

FACE II BOTTOM NOT CORE2 COMPATIBLE

Q1: How to read the programmed firmware?

Use esptool to read the flash content of esp32 and export the bin file. Refer to the detailed operation

Q2: Several solutions for esp32 board download failure in Arduino IDE board management

Restart the Arduino IDE, the computer uses the mobile AP mobile network to download.

Method 3: Download the resource package provided by M5Stack for direct installation, and extract the contents to the board management path of Arduino, such as (C:\Users\Sean\AppData\Local\Arduino15\packages), https://m5stack.oss-cn-shenzhen.aliyuncs.com/resource/arduino/packages/m5stack_v2.0.0.zip
Q3: Arduino SPIFFS file upload operation

Refer to the Github link below, use arduino-esp32fs-plugin for file upload

Q4: When M5Burner burns firmware, an error pop-up window or exception occurs

Check if the COM of the corresponding device is selected and if the M5Burner is the latest version

Q5: Does the M5 master device support multi-language display (Chinese, English, Japanese, Russian, etc.)?

UIFlow users can switch the Label font to Unicode, Arduino users can use the Chinese font library provided in the M5GFX driver library

Q6: The program cannot load the SD card normally

Confirm whether the SD card format is FAT32, and no partitions exist.

Q7: How to use Bluetooth, HTTP, SD, WebServer, FreeRTOS and other features in Arduino IDE

You can refer to the following link for other ESP32 users to share the case program

Q8: How to download programs for STAMP C3U

STAMP C3U enters program download mode operation: 1. Long press the center button (G9) of STAMP C3U when the power is off. 2. Connect to the computer, after the port is successfully identified, program burning.

Q9: How STAMP C3U defines UART0 output mode

By default, USB CDC is not enabled, the serial port output started by C3U will be output through the default pins (G20, G21) of UART0. If you want to output through USB, please use the IDE to output Its USB CDC option is enabled. (Arduino users can enable it through Tools->USB CDC on Boot-Enabled. For IDF users, please refer to the ESP IDF official documentation.)

Q10: Unable to connect to UIFlow Desktop IDE

Refer to the UIFlow documentation of the corresponding device to check whether the device has entered the USB programming mode.

Q11: NBIoT devices cannot connect to the network normally

Make sure that the NBIoT used is not locked. Frequent device replacement or after activating the IoT card, using traffic in different places may cause the card to be locked. If the above situation occurs, please contact the IoT card supplier. If you are using the IoT card matching M5, please contact M5 after-sales through e-commerce or email. (provide the ICCID of the IoT card)

COMMON

Q1: Consultation for after-sales problems of products

Describe the problems encountered in detail. Screenshots of the programs involved or files can be added as attachments and sent to M5Stack's official after-sales email

Q2: Code Resources, Cases, User Communication