Vision AI Module V2

Build compact vision systems with onboard AI processing and flexible hardware integration.

Compact AI Vision for Embedded Projects

This AI module is designed for developers who want local vision processing without relying on a larger host system. Its dual-core Arm Cortex-M55 architecture and integrated Arm Ethos-U55 neural network unit support both ready-made and custom AI models.

You can work with TensorFlow and PyTorch, connect through Type-C, Grove, CSI, IIC, UART, and SPI, and expand storage with the SD card slot. A built-in PDM microphone also adds audio input for broader embedded project options.

Open source code, design files, and schematics make development easier when you need to adapt hardware and software for your application. With 5V input and support for popular development board ecosystems, it fits well into IoT and vision-based system builds.

✅ Run vision AI directly on the module for faster embedded decision-making.

✅ Adapt models to your project with support for custom and off-the-shelf AI workflows.

✅ Connect more easily to your system using Type-C, Grove, CSI, IIC, UART, and SPI.

✅ Build compact prototypes with onboard processing instead of a larger computing setup.

✅ Add storage and audio input quickly with the SD card slot and PDM microphone.

✅ Develop with more flexibility using open source code, schematics, and design files.

✅ Deploy across IoT, automation, agriculture, transport, and monitoring applications.

Compact form suits embedded vision projects.

Multiple interfaces simplify system integration.

Onboard components support flexible project builds.

Board layout is shown in detail.

Interface access is clearly presented.

Useful for compact monitoring installations.

Front board view shown again.

Connection points are easy to identify.

Choose this module to build compact AI vision projects with flexible connectivity.