16 Sep 2019, Horw, Switzerland: Toradex leverages Amazon Web Services (AWS) and NXP^® to demonstrate how to simplify the creation of Industry 4.0-ready industrial automation solutions. A live demonstration that leverages expertise and technology across all three companies will be on display at the Industry of Things World in Berlin from September 16 through September 17.

• NXP’s high performance i.MX 8QuadMax application processor, optimized for safety and reliability
• AWS IoT Greengrass and Amazon SageMaker Neo, which provide optimized machine learning at the device edge, plus seamless online and offline capabilities
• Toradex’s easy-to-use Computer on Modules/System on Modules and software, which simplify development and maintenance while lowering time to market

• Secure connectivity for integrations with business tools, remote monitoring, updates, etc.
• Maximum uptime and reliability even with intermittent connectivity
• Small rugged and cost-optimized computing hardware
• Use of the latest technologies in computer vision and machine learning
• Short time to market and limited development resources

It highlights how the collaboration between these companies simplifies many of the steps required to build advanced industrial automation equipment for Industry 4.0.
In the future, this demo will be made available as a starting point to reduce the risk and time to market.

Toradex’s Apalis iMX8QM System on Module features NXP’s i.MX 8QuadMax SoCs. The i.MX 8 applications processor family is built with a high-level integration to support graphics, video, image processing, audio, and voice functions, and is ideal for safety-certifiable and efficient performance requirements.

The Apalis modules come with Torizon, an easy-to-use industrial Linux platform offered by Toradex. AWS IoT Greengrass runs on the device, providing connectivity and offline capabilities.
The demo has a local graphical user interface, as well as a cloud-based control dashboard hosted on AWS.

With Amazon SageMaker a neural network was trained to detect and classify different types of pasta. The trained network was optimized with Amazon SageMaker Neo for the Apalis iMX8QM, resulting in increased performance and efficiency.

To learn more and see the demo in action, visit AWS at Industry of Things World Berlin on September 16 and 17.
If you can’t make it, stay tuned for more information on the demo, or reach out to your local Toradex office.