Verified Commit 315371f2 authored by John Penn's avatar John Penn Committed by Vincent Coubard
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readme: Update documentation to the recent AWS portal changes



Bring documentation up to date to the recent AWS portal changes.
Improve the section layout along the way.

Signed-off-by: John Penn's avatarJohn Penn <john.penn@arm.com>
parent 02d954ca
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# Blinky Example
Blinky demonstrates TFM secure/non-secure partition on Corstone 300, with the non-secure side responsible for periodically blinking a set of LEDs.
Blinky demonstrates a [TrustedFirmware-M](https://www.trustedfirmware.org/projects/tf-m/) controlled secure/non-secure partition configuration on the following Arm platforms:
* Corstone-300
* Corstone-310
The code in the non-secure side of the Armv8-M processor periodically blinks a set of LEDs.
In this folder you will find all the source code needed that implements the Blinky application.
# KWS Example
The Keyword Spotting application demonstrates Machine Learning running in a [TrustedFirmware-M](https://www.trustedfirmware.org/projects/tf-m/) controlled secure/non-secure partition configuration utilizing the [Ethos-U55](https://www.arm.com/products/silicon-ip-cpu/ethos/ethos-u55) microNPU on the following Arm platforms:
* Corstone-300
* Corstone-310
The ML application executes within the non-secure side of the Armv8-M processor coordinating data flow to and from the [Ethos-U55](https://www.arm.com/products/silicon-ip-cpu/ethos/ethos-u55).
In this folder you will find all the source code needed that implements the Keyword spotting application.
## Presentation
The KWS example demonstrates machine learning running on the non-secure side on Corstone 300.
The KWS example demonstrates machine learning running on the non-secure side on Corstone-300.
Depending on the keyword recognized, LEDs of the system are turned ON or OFF:
......@@ -24,7 +32,7 @@ Depending on the keyword recognized, LEDs of the system are turned ON or OFF:
The sixth LED blinks at a regular interval to indicate that the system is alive and waits for input.
## Connection to AWS cloud
## Connection to AWS cloud
The system can be connected to the AWS cloud and broadcast the ML inference results
to the cloud in an MQTT topic or receive OTA update.
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