The Out-of-Box (OOB) application's goal is to "Provide a working example application that exercise the RASynBoard hardware and gives development teams a strong starting point for their own custom designs and ML training data"
- RASynBoard Product Page: Includes a buy link
- RASynBoard Development Guide: Detailed overview of the hardware
- RASynBoard Video Series
- Collection of short videos to help users get started with the RASynBoard OOB application
- RASynPuck Demo
- Details for configuring a wireless, battery operated demo with a cloud dashboard
Please follow the links below to learn more about the Avnet RASynBoard Out-of-Box application
- Getting Started: All the details you need to clone, build, load and debug the application on your RASynBoard development kit
- Application User Guide: Details on all the application features and configuration options
- Using RASynBoard Releases: Details on loading one of the OOB releases onto your RASynBoard if you don't want to build the application yourself
- RASynBoard Troubleshooting guide
- Document to address common issues encountered when running and debugging the OOB application
Use the links below to learn about the different ways to collect training/testing data with your RASynBoard and transfer it to your Edge Impulse ML project.
- Edge Impulse RASynBoard Documentation
- Edge Impulse Daemon instructions: Details on using the Edge Impulse RASynBoard application and the
edge-impulse-daemonutility to send training data from your RASynBoard directly into your Edge Impulse ML project - Edge Impulse Data Forwarder instructions: Details on using the Edge Impulse Data Forwarder CLI tool to stream 6-Axis IMU data directly into your Edge Impulse ML project
- Edge Impulse Uploader instructions: Details on using the Edge Impulse Uploader CLI tool to upload audio (*.wav) or 6-Axis IMU data (*.csv) data files directly into your Edge Impulse ML project
Use the links below to learn how to connect your RASynBoard to one of the currently supported cloud solutions.
- Avnet IoTConnect Configuration: Details to connect your RASynBoard to Avnet's IoTConnect on AWS cloud solution
- AWS IoT Core Configuration: Details to connect your RASynBoard to AWS IoT Core
- Wi-Fi Configuration: Details on how to configure the OOB application to connect to your Wi-Fi network.
Use the links below to learn how to modify the Avnet OOB application to target your specific application requirements.
- Out-of-Box Development Notes: Details on the OOB application and areas of interest for engineering teams looking to leverage the application for custom applications.
- Add a Temperature and Humidity Sensor to the OOB Application: Details on how to add the Renesas HS300X temperature and humidity sensor to the OOB application.
As Avnet adds features and bug fixes to the OOB application we push out releases. Each release:
- Has a unique version string
- Is built from a GitHub Repo Tag
- Have been tested
- Include release notes detailing changes since the last release
- Are delivered as a binary image
- Include the corresponding microSD card images
- Documents known issues with the release, and if available, details on working around the issue
Link to Avnet RASynBoard OOB Releases
Avnet creates training materials to help engineering teams come up to speed quickly with the Avnet RASynBoard. Follow the links below to access the latest hands-on RASynBoard lab documents.
- Lab0: Walks the user through setting the tools and free on-line accounts to complete the labs
- Lab1: Details on sideloading the OOB binary image onto the board and exercising some of the ML features implemented in the OOB application
- Lab2: Details on creating an Edge Impulse ML model. Note: this lab can't be completed until late October when Edge Impulse releases public support for the Avnet RASynBoard. However, you can still stream 6-Axis IMU data to Edge Impulse, build a ML model, and test it in Edge Impulse from data streaming from your RASynBoard.
If you encounter a bug, have questions on the OOB application, or have an idea for ways to improve the application, please open an issue on the GitHub Issue Page. An Avnet engineer will respond to the request.