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SenseCraft Model Assistant Getting Start with Seeed Studio XIAO ESP32S3


SenseCraft Model Assistant is an open-source project focused on embedded AI. We have optimized excellent algorithms from OpenMMLab for real-world scenarios and made implemention more user-friendly, achieving faster and more accurate inference on embedded devices.

Hardware Required

Software Required

How to Install

Install ESP-IDF

Install the ESP IDF

Follow the instructions of the ESP-IDF get started guide to setup the toolchain and the ESP-IDF itself.

The next steps assume that this installation is successful and the IDF environment variables are set. Specifically,

  • the IDF_PATH environment variable is set
  • the and Xtensa-esp32 tools (e.g., xtensa-esp32-elf-gcc) are in $PATH

get submodules

cd to the root directory of the project and run the following command to get the submodules:

git clone && cd edgelab-example-esp32
git submodule init
git submodule update

How to Use

Build the example

Go to example directory (examples/<example_name>) and build the example.

Set the IDF_TARGET (For ESP32-S3 target, IDF version release/v4.4 is needed) set-target esp32s3

Configure the example menuconfig
  • Select the Camera Module in Component config -> SenseCraft Model Assistant Configuration -> Camera Configuration -> Select Camera Pinoutimg
  • Select the LCD Module in Component config -> SenseCraft Model Assistant Configuration -> LCD Configuration -> Select LCD Pinoutimg

To build this, run: build

Load and run the example

To flash (replace /dev/ttyUSB0 with the device serial port): --port /dev/ttyUSB0 flash

Monitor the serial output: --port /dev/ttyUSB0 monitor

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