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.
UnitV2 is a high-efficiency AI recognition module launched by M5Stack, using Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, and 1080P camera. With embedded Linux operating system and rich software and hardware resources and development tools integrated, UnitV2 is committed to bringing users a simple and efficient AI development experience out of the box.
|Spec||UNIT-V2||UNIT-V2 M12||UNIT-V2 USB|
|Lens equipment||Normal focal length (FOV 68°)||Normal focal length (FOV 85°) + wide-angle focal length (FOV: 150°)||Without lens, USB-A universal interface, can be connected to various UVC cameras|
|Sigmstar SSD202D||Dual Cortex-A7 1.2GHz Processor|
|Camera||GC2145 1080P Colored Sensor|
|Lens||FOV 68° , DOF= 60cm- ∞|
|Power Input||5V @ 500mA|
|Peripherals||TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Fan x1|
|Indicator light||Red, White|
|Wi-Fi||150Mbps 2.4GHz 802.11 b/g/n|
|Operating Temperature||0°C to 60°C|
|Case Material||Plastic ( PC )|
Download the corresponding SR9900 driver according to the operating system used.
Extract the driver compressed package to the desktop path -> Enter the device manager and select the currently unrecognized device (named with SR9900) -> Right-click and select Custom Update -> Select the path where the compressed package is decompressed -> Click OK and wait for the update carry out.
Unzip the driver package -> double-click to open the SR9900_v1.x.pkg file -> follow the prompts and click Next to install. (The compressed package contains a detailed version of the driver installation tutorial pdf)
sudo ifconfig en10 down sudo ifconfig en10 up
UnitV2 integrates not only the basic AI recognition service developed by M5Stack, but also has built-in multiple recognition functions (such as face recognition, object tracking and other common functions), which can quickly help users build AI recognition applications.
All features! Plug and play! UnitV2 has a built-in wired network card. When you connect to a PC through the TypeC interface, it will automatically establish a network connection with UnitV2. With highly free connectable style, it can also be connected and debugged via Wi-Fi.
UART serial port output, all identification content is automatically output in
JSON format through the serial port, which is convenient to call.
UnitV2's factory Linux image integrates a variety of basic peripherals and development tools (such as Jupyter Notebook etc.)
Through SSH access, you can fully control the hardware resources of this camera
Easily build a custom recognition model through M5Stack's V-Training (AI model training service).
UnitV2 Built-in functions out of the box
Execute the following statement in Setup() of the Arduino program
When M5Core2 is stacked with other M5 modules, you need to remove the battery base of Core2, which does not support module stacking.
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
Add the header file #include <driver/adc.h> and the function adc_power_acquire(); in the Arduino program
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.
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)
ESP32 module currently does not support WiFi in 5G band, only 2.4G.
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
Click the link below to view the product comparison table
Rotate the lens to adjust the focal length within a certain range
Use esptool to read the flash content of esp32 and export the bin file. Refer to the detailed operation
Restart the Arduino IDE, the computer uses the mobile AP mobile network to download.
Refer to the Github link below, use arduino-esp32fs-plugin for file upload
Check if the COM of the corresponding device is selected and if the M5Burner is the latest version
UIFlow users can switch the Label font to Unicode, Arduino users can use the Chinese font library provided in the M5GFX driver library
Confirm whether the SD card format is FAT32, and no partitions exist.
You can refer to the following link for other ESP32 users to share the case program
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.
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.)
Refer to the UIFlow documentation of the corresponding device to check whether the device has entered the USB programming mode.
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