Connects - Training Material

Discussions

Artificial intelligence and machine learning (AI/ML) are revolutionizing the industrial world. For maximal impact, AI/ML must be done close to where data is generated and the output of analysis used. It's an ideal workload for edge computing and complements NXP’s EdgeScale cloud-based device-management platform. Layerscape processors are well suited to hosting AI/ML workloads. Software from NXP and third parties helps enable developers to create industrial applications using AI/ML technology. These applications can be distributed, Layerscape-based edge nodes with endpoints performing multiple tasks including: addressing condition monitoring or first-level classification; running popular edge frameworks to deliver cloud-like services on premises, aggregating data from multiple endpoints or performing additional analysis; running cloud-based software analyzing data for long-term trends.

Join this session to learn about the i.MX 8/8X application processors that offer a natural migration path from the successful i.MX 6 series for industrial and automotive markets. This class will highlight the feature enhancements in CPU performance, graphics, multimedia, audio and connectivity. And will cover the basics on security, machine learning, build and distribution of Linux and Android systems, management of storage devices, graphics and demo settings. You will leave the session with the knowledge on the features of the i.MX 8/8X and how to get up and running quickly on the development boards.

The self driving car has a major impact on ECUs power and complexity and the network architecture connecting them together. The sheer fact that the driver is now a mere passenger with potentially limited options of taking back control raises significant functional safety questions that cannot be addressed with conventional approaches. In this presentation, we discuss how autonomous driving is impacting the functional safety requirements for automotive Ethernet switches and PHYs. We will review what functional safety for a component really means, going beyond marketing figures and ticking off feature lists. Finally, we will discuss how NXP is attacking this challenge in our current portfolio with a hint to the products to come.

Emerging Connected and Automated Vehicles (CAVs) require far more compute horsepower, more memory bandwidth, and more high speed IO connectivity than the vehicles in show rooms today. NXP’s highest performance multicore Arm product family (Layerscape) was developed for networking and industrial infrastructure, however their integration and performance per watt has made them attractive in a variety of ‘transportation’ applications, including planes, trains, and now, automobiles. This session will provide an overview of the product family, and its transportation centric use cases.

This presentation provides an overview of the new toolchain to support the S32 platform of MCUs and application processors, this includes an IDE with new project generation, extensive collateral for ease of use and getting started as well as the next-generation Debugger tools, a new Flash tool specifically design for the S32 platform, the S32 configuration tool plus numerous software products integarted into the toolchain for ease of customer use.

This session will provide a deep-dive technical session on how to develop, simulate and test machine vision algorithms with MATLAB toolsets like Computer Vision System and Image Processing on NXP S32V microprocessors. The MATLAB automatic generated code will be executed on the S32V234 SBC boards on Arm and APEX cores simultaneous to squeeze the best performance. The session will concentrate on feature detection for driver monitoring and will showcase various concepts like object detection using Viola-Jones, tracking a ROI using Kalman filters and various feature detection using Haar cascades classifiers. At the end of the session the participants will be able to develop from scratch complex algorithms for detecting various feature like: pedestrians, traffic signs, lane departure, etc. and do all these from a simple and user friendly environment like MATLAB.

Connects - Training Material

Connects - Training Material

Training Sessions Material

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