Enable AWS connectivity

A key requirement for IoT devices is connectivity. The keyword and speech examples implement AWS cloud connectivity.

You can create an AWS thing (a representation of a device) to send data from a simulated Corstone-300 device to AWS IoT cloud services.

Default build

Build and run the keyword example:

    

        
        
            ./ats.sh build-n-run keyword
        
    

The results are output (alongside other data) in the terminal:

    

        
        ML_HEARD_ON
ML_HEARD_OFF
...

        
    

Press Control-C to stop the simulation.

This confirms your environment is setup correctly to build and run the keyword and speech example applications.

Set up an AWS thing

You can send the output data to an AWS thing using MQTT .

Open the AWS console in your browser.

In the same AWS region where you created your Arm Virtual Hardware instance, navigate to IoT Core.

Create IoT policy

An AWS IoT policy defines how your thing can be accessed.

1. Select Manage > Security > Policies.

2. Click Create policy and give it a meaningful name.

3. In the Policy document section, create 4 statements (use Add new statement button to add more) where:

• Policy effect = Allow

Policy action = one each of:

• iot:Connect
• iot:Publish
• iot:Receive
• iot:Subscribe

Policy resource will be unique to you, of the form:

• arn:aws:iot:<region>:<account-id>:*

4. Click Create to define the policy.

Create an AWS thing

1. Select Manage > All devices > Things, and click on Create things.

2. Select Create a single thing and give it a meaningful name. Click Next leaving all other options as default.

3. Select Auto-generate a new certificate and click Next.

4. Select the Policy created above and click Create thing.

5. When prompted, download the device certificate (.crt) and public and private keys (.pem.key) for your thing. Click Done.

Observe MQTT data

In your AWS console, click on your thing.

1. Select the Activity tab and open MQTT test client.

2. Subscribe to thingname/ml/inference where thingname is the name from the previous section. You can subscribe to # as a catch-all wildcard if you prefer.

3. Click Edit and enable MQTT payload display > Display payloads as strings (more accurate). Click Confirm.

Modify code with above credentials

The example applications need to be modified to add the credentials.

Return to your Virtual Hardware terminal.

Modify the 2 .h files to add your information.

bsp/default_credentials/aws_clientcredential.h

Use a text editor to modify these macros with the unique values for your AWS thing.

    

        
        
            #define clientcredentialMQTT_BROKER_ENDPOINT         "endpointid.amazonaws.com"
        
    

where endpointid.amazonaws.com is unique to you, and is given in IoT Core > Settings > Endpoint on your AWS console.

    

        
        
            #define clientcredentialIOT_THING_NAME               "thingname"
        
    

where thingname is the thing created above .

Save the file when done.

bsp/default_credentials/aws_clientcredential_keys.h

Use a text editor to modify these macros with the unique values for your AWS thing.

    

        
        
            #define keyCLIENT_CERTIFICATE_PEM \
...
        
    

with the contents of the .crt certificate file downloaded above . You will need to start and end each line of the certificate with quotations and escape commands:

    

        
        "-----BEGIN CERTIFICATE-----\n"\
"1234123412341234123412341234123412341234123412341234123412341234\n"\
"5678567856785678567856785678567856785678567856785678567856785678\n"\
...
"-----END CERTIFICATE-----"

        
    

Similarly add the public and private keys (.pem.key), modified as above.

    

        
        
            #define keyCLIENT_PRIVATE_KEY_PEM \
...
#define keyCLIENT_PUBLIC_KEY_PEM \
...
        
    

Save the file when done.

Run with MQTT connectivity

Rebuild and run the keyword application.

    

        
        
            ./ats.sh build-n-run keyword
        
    

The messages are shown in the terminal as well as in MQTT test client .

    

        
        ML_HEARD_ON
109 27329 [ML_MQTT] [INFO] Publish to the MQTT topic <thingname>/ml/inference.
...

        
    

Repeat with the speech example

Build and run the speech example.

    

        
        
            ./ats.sh build-n-run speech
        
    

Observe the output on the terminal and your MQTT console.

    

        
        INFO - Complete recognition: turn down the temperature in the bedroom
134 14506 [ML_MQTT] [INFO] Publish to the MQTT topic <thingname>/ml/inference.

        
    

See the README.md for full details.