Your Guide to AWS IoT at Embedded World 2021
Embedded World 2021 is almost here! Embedded World is the place for all things embedded-system technologies and distributed intelligence. This year’s exhibition and conference will be entirely digital, running the week of March 1-5, 2021. In this blog post, we share sessions you won’t want to miss from AWS experts and our AWS Partners as we dive deep to showcase how device software, edge computing, and emerging technologies will shape IoT solutions we rely on every day.
How might you spend your days at Embedded World this year? Attend AWS IoT conference sessions to learn more about how we are bringing cloud connectivity and intelligence to the IoT edge. Stop by the AWS IoT booth in the virtual exhibition center to view daily live technology solution demos with our AWS Partners, chat live with AWS IoT experts, and explore AWS IoT edge solutions and services. Use our conference guide to quickly reference our sessions and demos. Finally, make sure to enter to win $25 in AWS promotional credits on our external event page.
A cornerstone of Embedded World is knowledge sharing. We are honored to have been selected to present on the following topics, for which each will also have an associated paper (available to Embedded World attendees) to dive deeper into each subject.
Using future-proofed microcontroller designs with FreeRTOS (ID: 10452)
March 1 | 11:00-11:30 (CET) | 2:00-2:30 (PT) | Richard Barry, Senior Principal Engineer, Amazon Web Services
Today, we’re seeing an amazing dynamic between the edge and the cloud, and where customers are putting their workloads. Many applications rely on the physical world around us where microcontrollers continue to prove to have a dominant place. Customers are looking for composability and robust RTOS support. Discover how to overcome challenges in development acceleration while ensuring firmware integrity and longevity, how that ties into Long Term Support releases, and what that means for an open source project in development for more than 15 years.
Build your own Embedded Linux CI/CD pipeline using the cloud (ID: 10449)
March 1 | 13:30-18:00 (CET) | 4:30-9:00 (PT) | Richard Elberger, Principal Technologist, Amazon Web Services
Learn how to build a CI/CD pipeline using the AWS Cloud by creating your own Bitbake Metadata Layer and build upon a series of triggers that run on top of Cloud infrastructure to drive the build and stage processes for the Embedded Linux image, SDK, and Package Streams. Then, learn how to integrate your build process with continuous tests for CI and image staging for continuous development. You will understand how to create the pipeline for your own products and be able to reuse the artifacts you created during the workshop.
TinyML for AI at the very, very edge (ID: 10454)
March 2 | 13:30-14:00 (CET) | 4:30-5:00 (PT) | Rajeev Muralidhar, Principal Specialist Solutions Architect, Amazon Web Services and Prasad Vyawahare, Software Development Engineer, Amazon Web Services
Advances in ultra-low power hardware architectures, semiconductor process technologies, and AI algorithms have enabled TinyML – a new class of ML on tiny microcontrollers. TinyML has enabled use cases such as predictive maintenance, anomaly detection, and ultra-low power audio or video recognition on devices in the sub-10mW power envelope. We will look at the TinyML framework, its architecture, and how we can build low power audio deep neural networks (DNNs) and video convolutional neural networks (CNNs) using TensorFlow Lite on FreeRTOS-based microcontrollers. We will then discuss challenges and opportunities crucial for this technology to be scalable and deployable in real-world scenarios.
Formally verifying the FreeRTOS IPC mechanism (ID: 10446)
March 2 | 14:00-14:30 (CET) | 5:00-5:30 (PT) | Nathan Chong, Principal Applied Scientist, Amazon Web Services
The FreeRTOS kernel is a real-time operating system for microcontrollers and small microprocessors. The kernel provides interprocess communication (IPC) to enable applications to be flexibly split over multiple communicating tasks. The main IPC mechanism in FreeRTOS is a concurrent queue: a FIFO data structure that tasks can use to send and receive messages. As a fundamental building block for larger applications, the correctness of the queue is vital. Join this session to learn about formal verification of the memory safety, thread safety, and functional correctness of the queue using deductive verification.
Cloud-driven CI/CD for Embedded Linux (ID: 10447)
March 2 | 14:00-14:30 (CET) | 5:00-5:30 (PT) | Richard Elberger, Principal Technologist, Amazon Web Services
Building a Linux distribution requires significant compute and storage. Delivering solutions with Embedded Linux requires even more savvy given requirements to provide firmware updates to improve security, resiliency, and application capability. By creating a Continuous Integration (CI) and Continuous Delivery (CD) pipeline for Embedded Linux-based IoT solutions, you improve quality, consistency, and time to market. Learn the core components and events for Embedded Linux CI/CD that transitions to post-release events, such as over-the-air firmware updates, mechanisms for Embedded Linux flavored Continuous Integration and Continuous Delivery, and the mechanics for securely providing automated firmware updates.
Three on-demand demos are available today on our external event page, and five will be hosted live in our booth within the virtual exhibition center. View the schedule for live demos and add the ones you don’t want to miss to your calendar here.
Daily live demos:
IIoT anomaly detection with AWS, Klika Tech, and STMicroelectronics
March 1 | 17:20-17:50 (CET) | 8:20-8:50 (PT) | Featuring AWS Partners Klika Tech and STMicroelectronics
Klika Tech and AWS will demonstrate a development kit built on AWS that provides a rapid, scalable solution for deploying machine learning in IIoT ecosystems to drive manufacturing efficiency. The demo features a step-by-step illustration of the unique model for decision making in the automated response to anomaly vibrations use case.
LoRaWAN® Smart Building Reference Kit
March 2 | 17:20-17:50 (CET) | 8:20-8:50 (PT) | Featuring AWS Partners TensorIoT and Semtech
With the Smart Building Reference Kit (SBK), you can quickly discover how to use LoRaWAN® networks and sensors to explore cloud-based smart building applications. Join the demo to explore employee safety and well-being, sustainability, operating efficiency, or your own smart building needs.
Keeping manufacturing moving with vision-driven conveyor belt systems
March 3 | 17:20-17:50 (CET) | 8:20-8:50 (PT) | Featuring AWS Partner ADLINK
How to build a voice-enabled smart home product with RISC-V
March 3 | 18:15-18:45 (CET) | 9:15-9:45 (PT) | Featuring AWS Partner Espressif
This demo will cover building a voice-enabled application with an arbitrary wake word. Enable Bluetooth LE (BLE) long range devices in the smart home with ESP32-C3, Espressif’s low-cost silicon based on RISC-V ISA.
Adaptive healthcare AI and analytics inference at the edge with Xilinx SoCs through Amazon SageMaker
March 4 | 17:20-17:50 (CET) | 8:20-8:50 (PT) | Featuring AWS Partner Xilinx
Train in the cloud, deploy and infer at the edge, and maintain a connected distributed AI Analytics infrastructure. Learn how to leverage Amazon SageMaker, TVM, the Xilinx PYNQ platform, and the Xilinx Deep Learning Processing Unit (DPU) to scale your AI deployment in Healthcare and beyond.
AWS IoT Greengrass V2 on RISC-V architecture
On-demand | Featuring AWS Partner SiFive
This demo will show AWS IoT Greengrass V2 using Aicas JVM on the HiFive Unmatched RISC-V. You now have a choice to run AWS IoT Greengrass on edge gateways running RISC-V architecture. See how RISC-V allows you to build highly customized processors and microcontrollers.
Condition-based and predictive motor maintenance
On-demand | Featuring Amazon Monitron
This demo highlights a powerful use case for Amazon Monitron hardware leveraging predictive motor maintenance. You will get to see how Amazon Monitron addresses the condition-based maintenance and predictive maintenance use cases, and how other methods such as run to failure and planned maintenance can also be incorporated into the overall maintenance methodologies.
AWS predictive quality industrial demo
On-demand | Featuring AWS and AWS Partners
Industrial IoT offers new levels of predictability for industrial enterprises. Predictive quality is used to spot and remediate quality issues quickly. Generated insights can be used to optimize outputs based on environmental factors and supply chain inputs. The goal is to identify everything impacting final product quality by creating a prediction model that can be used to define concrete improvement steps.
Check out more content and conference tips on our AWS IoT at Embedded World 2021 page.