テクノロジーデイズ - トレーニング教材

ディスカッション

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 low-power LS1012A is a diverse processor that can be used in many applications, including, IOT, gateways, board management controllers, chassis management and consumer applications. With a 64-bit ARMv8 processor, dual 2.5G MAC, 10 by 10mm package and 1W power, LS1012A may be just the processor you've been looking for. Join this session to explore how others have used LS1012A, and learn more about the tools, software and development platform that make this processor easy to use.

In automotive applications, it is typical to have a central processing unit that interfaces with other peripheral devices, other sub-systems and the user. Often, the signals from these interconnects may be incompatible on both ends. Therefore, various semiconductor devices such as analog switches, voltage level translators, and GPIO expanders are often used to bridge between the interconnects on the board. Also, LED Controllers, LCD Drivers and Real Time Clocks are used for interfacing between the system and user. In this session, we will explore the application of these analog and interface devices from NXP and discuss their applications in automotive applications.

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

This lecture provides an overview of the software and hardware enablement available to accelerate customer time-to-market and reduce development risks for an In-Vehicle Infotainment (IVI) system. Namely an application processor from i.MX 8 family, Ethernet Switch and PHY, Software Defined Radio and Audio processing, Audio Class-D amplifier, power management, supported by Genivi and AGL compliant BSP and integrated drivers and middleware components for these devices. In a second part, we will present the NXP eCockpit Proof of Concept, which leverages i.MX 8QM HW performances and partitioning capabilities and allows to run two concurrent and independent HLOS and a Safety Critical application (RVC, Display, Audio) on i.MX 8QM.

Wearables are expanding beyond the common activity tracking and fitness use cases that already claim almost 1-billion connected devices today. The evolution of wearable technology can be attributed to improving processor performance, sensors, wireless connectivity and tracking capabilities, contactless payment/access, extended battery life and the demand for richer user experiences. All of this creates the ideal foundation for new health and wellbeing use cases. NXP’s broad portfolio of MCUs, applications processors, WiFi/BLE/NFC/UWB-enabled devices, as well as power management ICs are driving new wearable applications within the IoT, including SOS emergency calling, safe zone alerts, contact tracing/social distancing and vitals reporting (HR, SPO2, Body Temp, Sleep Patterns, etc.) for elderly, cognitively impaired and high-risk patients. Join this session to learn about this ever-expanding market and NXP solutions that help address this space. Presenter: Eduardo Montanez, Marketing Manager, Wearables & Personal Devices, NXP

The EdgeLock™ SE050 family provides a root of trust at the IC level. This CC EAL6+ certified secure element also supports compliance to standards such as ISO/IEC 62443 SL3. The EdgeLock SE050 stores the keys and credentials to manage authentication and access rights securely. But how are those credentials stored on the secure element? And what about changing or updating the credentials in a secure way in the field? Along with a demo consisting of various NXP components you will experience how to provision and change credentials on an EdgeLock SE050 for secure access for industrial and smart home applications. You will also learn about the different options to manage credentials and how to use NXP’s EdgeLock 2GO Managed Service to configure your IoT device. Following the demo we will go through the different HW and SW building blocks and explain how to implement such a use case based on NXP solutions. NXP components include: EdgeLock SE050 Secure Element, EdgeLock 2GO Service, i.MXRT1060 Crossover MCU, CLRC663 NFC Frontend, 88W8977 WiFi 4 and Bluetooth SoC (using PAN9026 module). Presenters: Antje Schütz, Senior Marketing Manager IoT Security, NXP Massimo Incerti, EMEA Distribution CAS Manager, NXP

テクノロジーデイズ - トレーニング教材

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