Technology Days - Training Material

Discussions

Secure designs begin with a security model consisting of policies, an understanding of the threat landscape and the methods used to enforce physical and logical security. To protect firmware execution given today’s threat landscape, there must be a policy to only allow execution of authenticated firmware. The methods used to enforce this policy rely on MCU security technology to create a protected boot flow. The boot firmware can contain public key cryptography to authenticate application code. In addition to these components integrated in the end device, there are tools and steps that must be taken in the manufacturing environment using manufacturing hardware for code signing and host programs for provisioning. Join this session to explore the design and implementation of a secure boot by making use of the Arm mbed TLS open source software and protect against firmware attacks.

Machine learning can performed on a wide range of device categories - from MCUs with Arm® Cortex®-M4 and M7 cores to complex SoCs with high-end A-class cores, GPUs, DSPs, and dedicated machine learning accelerators. The first step is learning how to utilize proper training techniques for model development, but beyond that how to generate optimized inference engines that can be used to perform classifications, anomaly detection, predictions, and other types of decisions. This presentation highlights some basic training techniques, such as data augmentation, but the primary focus will be on various ways to deploy neural network frameworks and classical machine learning algorithms, and most importantly, utilizing a variety of open source tools and techniques. We will show how these techniques fit in with some real use cases such as object recognition and anomaly detection.

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

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

Learn about the safety related elements of i.MX 8/8X hardware and how NXP is going the extra step with their functional safety concepts. The i.MX 8/8X is designed as a Safety Element out of Context (SEooC) microprocessor (MPU) and is intended for multiple use cases within the vehicle. Join us to see how the i.MX 8/8X can be used in dedicated manners for these specific safety-critical applications, like automotive digital instrument clusters, where critical information and alerts need to be assessed and analyzed at all times.

Addressing IoT applications requires copious amounts of Non-Volatile memory space. Supporting numerous connectivity stack options, edge compute algorithms, sensor data storage and/or all of the above requires millions of bytes. Fortunately, NXP’s MCUs in the crossover space, like the i.MX RT integrate the latest capabilities for supporting execute in place (XIP) from cost effective serial NOR flash devices. Join this class to get hands-on with XIP and the i.MX RT.

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

Join this session for an introduction of Alango’s voice enhancement software used to create high-performance speakerphones and headphones based on NXP’s i.MX RT MCUs. You’ll learn about Extended Voice Communication Package (eVCP), a universal package adaptable to different speakerphone designs (form-factors) that provides high-grade noise reduction and seamless duplexity. In addition, you’ll learn about VoiceDefender, a four microphone voice acquisition and processing package that provides clear voice transmission for on/over ear headphones. Presenters: Robert Schrager, Director of Sales and Marketing, Alango Brendon Slade, MCU Ecosystem Director, NXP

NXP recently announced its first Azure Sphere-certified crossover applications processor chip, the i.MX 8ULP-CS SoloLite with Azure Sphere, and plans to build additional Azure Sphere-certified chips as part of the NXP i.MX 9 series. Join this tech talk to learn about Azure Sphere and what it means to have a highly secured solution from the hardware to the cloud. We’ll discuss the specific challenges of building and securing connected devices and what sets the i.MX 8ULP-CS apart. We’ll dig into the four components of Azure Sphere, all of which are included with the i.MX 8ULP-CS: Microsoft Pluton on NXP EdgeLock™ secure enclave for a secured hardware root of trust, the secured Azure Sphere OS, the cloud-based Azure Sphere Security Service, and the ongoing OS updates and security improvements supported by Microsoft experts for the lifetime of the device. Presenters: Sudhanva Huruli, Program Manager, Azure Sphere Naama Bak, Business Development and IoT Security, NXP Semiconductors

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

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

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

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

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

As memory interface data rates increase, so does the need for ensuring proper margins have been designed into the system’s usage of that interface. One way Micron has studied the system’s usage of the memory interface is through Timing & Signal Analysis (TSA). A TSA attaches physical hardware to the memory device to observe a subset of the memory interface as operated by the system. Another approach to memory interface is Virtual TSA (vTSA). This method uses the memory controller’s training algorithms to provide margin information without the use of physical test hardware. This method allows characterization of the entire memory interface. This session will compare and contrast the two different methods, and will ultimately demonstrate the value of integrating vTSA tools on the system platform. We intend to reference actual results from the latest i.MX 8 QXP board.

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