This public repo provides documentation and example ML models to participants in the preview program. Although the content is public, participation in the program requires a devkit. If you are with a company working within the edge AI value chain, your company might qualify for a devkit. Go to https://aka.ms/scpreview to apply.
On this page you will find everything you need to get started using your devkit, including these getting started videos.
- Project Santa Cruz devkit overview
- Onboard your Azure subscription
- Unbox and assemble your devkit
- Connect your devkit to Wi-Fi and Azure
After building a vision no-code solution, check out the following resources for additional information and guidance:
- Vision solution how-to guide overview
- Deploy a vision solution to your devkit
- Capture images for a vision solution
- View your devkit's inference telemetry
- View your devkit's RTSP video stream
After building a speech no-code solution, check out the following resources for additional information and guidance:
- Configure your voice assistant application using IoT Hub
- Configure your voice assistant application through the Project Santa Cruz portal
- Advanced development overview
- Advanced development tutorial (cloud)
- Advanced development tutorial (local)
- Dev tools pack installer guide
- Scripts overview
- Update experience overview
- Over-the-air update prerequisites
- Update your devkit carrier board over-the-air
- Update your devkit carrier board via USB
- Update your Eye or Ear SoM firmware over-the-air
- Devkit datasheet
- Eye SoM datasheet
- Ear SoM Datasheet
- Devkit Safety Manual (EN)
- Devkit Safety Manual (FR-CA)