Seeed Grove Vision AI Module V2 (WiseEye2)
Last updated
Was this helpful?
Last updated
Was this helpful?
The Grove Vision AI Module V2 (Himax WiseEye2) is a highly efficient MCU-based smart vision module driven by the Himax WiseEye2 HX6538 processor, featuring a dual-core Arm Cortex-M55 and integrated Arm Ethos-U55 neural network component. It integrates Arm Helium technology which is finely optimized for vector data processing, enables a significant uplift in DSP and ML capabilities without compromising on power consumption, which is ideal for battery-powered applications.
Capabilities: Utilizes with a dual-core Arm Cortex-M55 and integrated Arm Ethos-U55 neural network unit.
Versatile AI Model Support: Easily deploy off-the-shelf or your custom AI models from , including Mobilenet V1, V2, Efficientnet-lite, Yolo v5 & v8. TensorFlow and PyTorch frameworks are supported.
Rich Peripheral Devices: Includes PDM microphone, SD card slot, Type-C, Grove interface, and other peripherals.
High Compatibility: Compatible with XIAO series, Arduino, Raspberry Pi, ESP dev board, easy for further development
Fully Open Source: All codes, design files, and schematics available for modification and use.
Quick links access:
To set this board up in Edge Impulse, you will need to install the following software:
Note: Make sure that you have the CLI tools version at least 1.27.1. You can check it with:
On Linux, please install screen:
Problems installing the Edge Impulse CLI?
With all the software in place it's time to connect the board to Edge Impulse.
The board does not come with the right Edge Impulse firmware yet. To update the firmware:
Connect the board to the PC/Mac/Linux via USB Type-C cable
Within the extracted firmware zip file, there are install scripts to flash your device:
For MacOS:
For Windows:
For Linux:
Additionally, you need to flash the model file to your board. You can find the model in the model_vela.tflite
file.
Open terminal in the root of the repository
Install required Python packages
Flash the model
In each case, you will select the serial port for your device and the flashing script will perform the firmware update.
Note: If the flashing script waits for you to press the "reset" (RST) button but never moves on from that point, its likely that you have an outdated himax-flash-tool and need to update your host's install per previous instructions above.
From a command prompt or terminal, run:
This will start a wizard which will ask you to log in, and choose an Edge Impulse project. If you want to switch projects run the command with --clean
.
With everything set up you can now build and run your first machine learning model with these tutorials:
After building the machine learning model and downloading the Edge Impulse firmware from Edge Impulse Studio, deploy the model to your Seeed Grove Vision AI Module V2 via steps 1 and 2 of "Connecting to Edge Impulse" above.
Firmware source code:
Edge Impulse pre-compiled firmware:
See the guide.
Download the latest and extract it
Clone the firmware source code from
Alternatively, recent versions of Google Chrome and Microsoft Edge can collect data directly from your board, without the need for the Edge Impulse CLI. See for more information.
That's all! Your device is now connected to Edge Impulse. To verify this, go to , and click Devices. The device will be listed here.
.
Looking to connect different sensors? The lets you easily send data from any sensor into Edge Impulse.