Technology Days - Training Material

Discussions

You need to get a lot of things right to build a truly secure system. Join this session to learn how the EdgeLock™ secure enclave that’s built into our i.MX 8ULP applications processors protects the entire system against attacks. Best of all, it simplifies complex implementations so you’re less likely to make errors when you configure security. With the secure enclave, you can achieve security goals with less security expertise, freeing you to focus on new ways to differentiate your application. Presenter: Lawrence Case, Systems Engineer and Security Architect, NXP

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.

With the mass adoption of voice assistants, more and more products are becoming voice enabled. For companies that traditionally do not have experience designing for voice and audio, this can be overwhelming and difficult. Join this webinar as we discuss the voice stack architecture, provide some basic guidelines to follow to build a successful voice-enabled product, show recommended voice design patterns for typical consumer based voice-enabled products, and demonstrate TalkTo, DSP Concepts’ Audio Front End software running on an NXP i.MX RT685 MCU. Presenters: Mike Vartanian, Director of Strategic Partnerships, DSP Concepts Uday Pispati, Applications Engineer, DSP Concepts Brendon Slade, MCU Ecosystem Director, NXP

NXP's Essential Audio Processing (EAP) software library is available on several NXP platforms to help enhance the audio playback of your product. With support for several audio algorithms such as static equalizer, dynamic bass boost, limiter, 3D effect and more, EAP provides a great audio experience for users. To permit easy and fast enablement, NXP's EAP library is available in the MCUXpresso SDK with integrated examples, and an associated Audio Tuning Tool that enables you to easily tune and simulate EAP behavior without any hardware. Join this session for an overview of EAP and its features. Presenters: Christophe Boulant, Voice & Audio TEC Team, NXP Shelby Unger, MCU Ecosystem Product Marketer, NXP

Embedded edge technology is revolutionizing the area of machine vision for industrial applications. Vision systems at factory shop floor are now heavily relying on components capable to process images in real time at the edge in order to increase quality, efficiency and safety of production lines. Join this webinar to learn more how NXP and our partner Basler apply their latest technology in real industrial scenarios. Presenters: Felipe Fernandez, Business Development Specialist, Industrial System Innovation, NXP Malene Fricke, Product Partner Manager, Basler AG

The PF81 and PF82 PMIC family is designed for high-performance processing applications such as infotainment, telematics, clusters, vehicle networking, ADAS, vision and sensor fusion. It is ideal for i.MX 8, i.MX 8X, S32V, and Networking processors in Automotive, Industrial, and Consumer applications. In this session we will offer a detailed overview of the family, its features and advantages of scalability and functional safety

Two key automotive transformation areas are connected and electric vehicles (EV) which will bring opportunities for new vehicle services and efficiencies that improve user experience and increase the efficiency of EVs to extend range. NXP has brought together our technologies and expertise in both of these areas, in collaboration with Amazon Web Services (AWS), to provide a vehicle-to-cloud solution to monitor and improve EVs. In this session, we will provide insights into the implementation of the Connected EV Management System based on the NXP GoldBox based on the S32G vehicle network processor for service-oriented gateways and the GreenBox based on the S32S for propulsion domain control, along with the key software and cloud technologies from AWS, and how they all work together to provide value propositions for connected EVs. Presenters: Brian Carlson, Director, Global Product and Solutions Marketing, Vehicle Control and Networking Solutions, NXP Curt Hillier, Systems and Applications Engineer, NXP

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 integrated into the toolchain for ease of customer use.

TensorFlow® Lite, ArmNN, and GLOW are popular open-source machine learning inference frameworks for mobile and IoT devices. In this session, you’ll learn how to use TensorFlow Lite, and ArmNN on NXP i.MX 8 MPU-class devices in Linux, and how to take advantage of not only Arm® Cortex®-A CPU cores, but also dedicated on-chip GPU and NPU accelerators. For NXP i.MX RT MCU-class devices we will introduce two approaches: 1)TensorFlow Lite for Microcontrollers with CMSIS-NN kernel implementation optimized for Cortex-M cores, and 2) GLOW, a neural network compiler, which generates code “Ahead of Time” for Cortex-M cores and DSP. Presenter: Robert Kalmar, Machine Learning SW Engineer, NXP

GUI Guider is a user-friendly GUI development tool from NXP that enables the rapid development of high quality displays with the open-source LVGL graphics library, and the i.MX RT1170 MCU is a great choice for graphics applications. Learn more about the i.MX RT1170 MCU and see how LVGL and GUI Guider make it easy to design your next embedded GUI. Presenters: Shelby Unger, MCU Ecosystem Product Marketer, NXP Justin Mortimer, Director Mass Market Industrial Edge Processing, NXP

NXP provides a broad portfolio of solutions for mobile robotics applications such as drones and rovers, including application specific reference hardware and software solutions for vehicle management units, i.MX applications processor-based mission computers, automotive ethernet and CAN-FD networking, battery management, IoT remote sensing, and TOF/Vision sensing. Many of these solutions are complimented by NFC and secure element(s) for security and provisioning. Join this session to learn why NXP provides an ideal starting point, whether your designing an industrial drone or rover or has a similar need in an adjacent industry. Presenters: Altaf Hussain, Segment Marketing Manager, NXP Iain Galloway, Mobile Robotics Team Lead – System Innovations, NXP

There are many challenges in the automotive industry today to cost-effectively and widely access and the massive amount of data available in new vehicles. Vehicle data from dozens of sensors like camera, LiDAR, radar and inertial motion, along with operational data from vehicle ECUS can provide valuable real-time insights into vehicle driving environments and vehicle performance. Key vehicle data can be pre-processed on the edge in the vehicle and compressed up to 98% while maintaining high fidelity for advanced analytics and training/deploying machine learning models to continuously improve vehicles from design through their production lifecycle. In this session, we will identify the industry challenges and how a consortium of five industry companies formed The Fusion Project to provide a complete vehicle-to-edge data lifecycle that integrates machine learning training and deployment in a cost-effective way that reduces training time by 10x. Presenter: Brian Carlson, Director, Global Product and Solutions Marketing, Vehicle Control and Networking Solutions, NXP

The i.MX RT10xx MCU family leverages high performance, extensive memory options, and security features aimed at protecting your IP. IP protection is a key concern for companies developing products based on embedded devices and these concerns may seem particularly troubling when working with external memories and board level programming facilities. This webinar explores how to utilize key security features during the production process to alleviate these concerns when developing with the i.MX RT10xx MCUs. The session will showcase the Cyclone production programmers available from PEmicro, the development workflow enabling the creation of an encrypted stand-alone programming (eSAP) image with the Secure Boot Utility, and establishing a secure connection to the device for provision and programming. Presenters: Clark Jarvis, Ecosystem Product Marketer, NXP Kevin Perreault, President, PEmicro

The biggest challenge in embedded GUI development is managing changes in design (iterations) that nearly all projects encounter. Historically, changes at the design level resulted in teams needing to hunt for and replace all changed assets manually within the project. This would result in development delays, changes being missed, coded behavior being lost, and ultimately, poor UX. Join this session to learn how customers from medical to automotive have leveraged Storyboard’s Rapid Design Import and Iteration Technology to streamline design changes and develop embedded GUI applications that provided outstanding user experiences while getting to market on a tight deadline. Presenters: Garry Clarkson, FAE, Crank Software Shelby Unger, MCU Ecosystem Product Marketer, NXP

Technology Days - Training Material

Technology Days - Training Material

Training Sessions Material

Home

Vehicle Networking

AI and Machine Learning

AI and Machine Learning; Edge Computing

AI and Machine Learning; Voice

Connectivity (UWB, 5G, Wi-Fi 6)

Embedded Applications Software; Human Machine Interface (HMI)

Embedded Software

Human Machine Interface (HMI)

Motor Control

Security

Enabling Technologies

Voice; Human Machine Interface (HMI)

Factory Automation

Wearable; Human Machine Interface (HMI)

Home Control & Security; Development Software & Tools

Automotive

Edge Intelligence

Industrial

IoT Smart Home

Hardware & Software Solutions

Automotive

Edge Intelligence

Industrial

Mobile, Wearable & Computing

IoT Smart Home

Hardware & Software Solutions

Automotive

IoT Smart City

Edge Intelligence

Industrial

Mobile, Wearable & Computing

IoT Smart Home

Hardware & Software Solutions

Station F

Singapore

Automotive

Edge Intelligence

IoT Smart Home

Mobile, Wearable & Computing

Industrial

Hardware & Software Solutions

Automotive

Communication Infrastructure

Edge Intelligence

Industrial

IoT Smart Home

Hardware & Software Solutions

Mobile, Wearable & Computing

Automotive

Edge Intelligence

Hardware & Software Solutions

Industrial

IoT Smart City

IoT Smart Home

Automotive

Automotive

Hardware and Software Solutions

Industrial

IoT Smart Home

Mobile, Wearable, and Computing

Automotive

Edge Intelligence

Hardware & Software Solutions

Industrial

IoT Smart City

IoT Smart Home

Mobile, Wearable & Computing

Automotive

Artificial Intelligence, Enabling Technologies, Security & Solutions

Smart Machinery & Industrial Automation

Smarter World Solutions & Multimode Connectivity

Artificial Intelligence, Enabling Technologies, Security & Solutions

Smart Machinery & Industrial Automation

Smarter World Solutions & Multimode Connectivity

Automotive

Artificial Intelligence, Enabling Technologies, Security & Solutions