# Petoi AI Vision
## Function introduction
Petoi AI Vision Module is based on the Arm Cortex-M55, and Ethos-U55 embedded vision module. The Ethos-U55 has 64 to 512 GOP/s of arithmetic power to meet the growing demand for downloading machine learning.
## Hardware setup
### BiBoard V0
Bittle X
### BiBoard V1
Bittle X
Bittle X+Arm
Fix the end connected to the camera to the robot's head (included in Bittle's / Bittle X's mouth or attached to Bittle X+Arm's robotic arm).
{% hint style="info" %}
If you use the version of Petoi Desktop App <= **V1.2.5**, you need to connect the Petoi AI vision module to the following Grove socket:\
{% endhint %}
## Software setup
There are two methods to upload the firmware :
* Using the Petoi Desktop App
* Using the Arduino IDE
### **Petoi Desktop App**
You can use the [Firmware Uploader](https://docs.petoi.com/desktop-app/firmware-uploader#select-the-correct-options-to-upload-the-latest-firmware) within the Petoi Desktop App.
Please select the correct ***Product*** type, ***Board version***, and ***Serial port*** according to your actual use. \
The mode should be **Standard**, so press the **Upgrade the Firmware** button. \
For example, Bittle, BiBoard\_V0\_2, COM5 as follows:
### **Arduino IDE**
For more details, please refer to [Upload Sketch for BoBoard](https://docs.petoi.com/arduino-ide/upload-sketch-for-biboard).
After uploading, there are two methods to ***activate/deactivate*** the camera mode:
* Serial Monitor
* [Open the serial monitor](https://docs.petoi.com/arduino-ide/serial-monitor#biboard) and use the serial command "***XC***" to activate the camera mode.
* Open the serial monitor and use the serial command "***Xc***" to deactivate the camera mode.
* Mobile App
* Create [a mobile app command](https://docs.petoi.com/mobile-app/controller#create-a-single-command) called "**Activate camera**" and use the code: *`X67`*
* Create a mobile app command called "**Deactivate camera**" and use the code: *`X99`*
### Web debug GUI
Combined with the empowerment of the web debug GUI ([SenseCraft AI Model Assistant](https://sensecraft.seeed.cc/ai/device/local/36)), you can easily upload a wide variety of co-created models and directly observe the results.
{% hint style="info" %}
The camera is already plugged in. After opening the web debug GUI, simply connect Petoi AI Vision to your computer using a Type-C cable and then click the **Connect** button.
{% endhint %}
For how to use this web debug GUI, please refer to:
{% hint style="info" %}
If the camera mode can't be activated, as follows:
You can use the [web debug GUI ](https://sensecraft.seeed.cc/ai/#/device/local)to upgrade the camera firmware and upload the Face Detection model.
{% endhint %}
{% hint style="warning" %}
To run the example code (inference.ino) in the library [Seeed\_Arduino\_SSCMA](https://github.com/Seeed-Studio/Seeed_Arduino_SSCMA/releases), you should add the library to your Arduino IDE by selecting Sketch > Include Library > Add .ZIP Library and choosing the downloaded file.
Or you can install the library in the Library Manager of the Arduino IDE as follows:
\
\
{% endhint %}
## More Application
The Petoi AI vision module also supports taking photos and transmitting images via Wi-Fi, but it needs to be installed on a MCU with more powerful computing power (such as ESP32S3, ESP32C3, etc.). For the specific development process, please refer to the wiki technical documentation:
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{% endhint %}
## Software setup
There are two methods to upload the firmware :
* Using the Petoi Desktop App
* Using the Arduino IDE
### **Petoi Desktop App**
You can use the [Firmware Uploader](https://docs.petoi.com/desktop-app/firmware-uploader#select-the-correct-options-to-upload-the-latest-firmware) within the Petoi Desktop App.
Please select the correct ***Product*** type, ***Board version***, and ***Serial port*** according to your actual use. \
The mode should be **Standard**, so press the **Upgrade the Firmware** button. \
For example, Bittle, BiBoard\_V0\_2, COM5 as follows:
You can use the [web debug GUI ](https://sensecraft.seeed.cc/ai/#/device/local)to upgrade the camera firmware and upload the Face Detection model.
{% endhint %}
{% hint style="warning" %}
To run the example code (inference.ino) in the library [Seeed\_Arduino\_SSCMA](https://github.com/Seeed-Studio/Seeed_Arduino_SSCMA/releases), you should add the library to your Arduino IDE by selecting Sketch > Include Library > Add .ZIP Library and choosing the downloaded file.
Or you can install the library in the Library Manager of the Arduino IDE as follows:
\
\
{% endhint %}
## More Application
The Petoi AI vision module also supports taking photos and transmitting images via Wi-Fi, but it needs to be installed on a MCU with more powerful computing power (such as ESP32S3, ESP32C3, etc.). For the specific development process, please refer to the wiki technical documentation:
{% embed url="