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Technology Days - Training Material

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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
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With the announcement of Project CHIP, the Smart Home industry is addressing critical interoperability challenges facing the market today by improving compatibility, raising security, simplifying set-up and increasing compliance. In this session, we'll take a closer look at Project CHIP and illustrate how NXP’s portfolio is uniquely positioned to support Project CHIP-based designs. Highlights include a look at NXP's architecture and recent implementation of a Project CHIP-based E-Lock design along with a video demonstration. Presenters: Sujata Neidig, Wireless Connectivity Marketing Director, NXP Doru Gucea, Wireless Connectivity Software Engineer, NXP
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A complete family of versatile amplifier modules enabling rapid deployment of base station to address the ultra-low latency/high data rate needs of 5G Wireless Infrastructure equipment.
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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.
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Overview of the i.MX RT family, where to find the related tools, getting started, and where to go for support.
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This session will introduce you to a new type of vehicle gateway called a Service-oriented Gateway that can support broad deployment of services to transform the automotive industry with new opportunities, and provide insights on how NXP can help you develop one.
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Understand difference between consumer and automotive Ethernet and evolution of automotive communication architecture with the new CAN technologies and higher-speed Ethernet.
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This sessions give the participants a quick overview of what NFC is, what products are a part of portfolio and how can they be used in different use cases across several verticals. It also guides the participants through a quick overview of the development kits and SW resources available that come in handy for prototyping. In short, this is the best crash-course you can have to get started with NFC.
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Join this session to understand all the security features integrated in the recently launched LPC5500 MCU Family and learn how to implement these features to design a low-power system with robust security using the MCUXpresso Software & Tools.
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Join this session to understand all the security features integrated in the recently launched LPC5500 MCU Family and learn how to implement these features to design a low-power system with robust security using the MCUXpresso Software & Tools.
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Solutions Around the Core – Interfaces and Power Solutions
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Introducing Murata Wi-Fi IBT Connectivity Modules for NXP i.MX & RT Platform.
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Partnering with Cypress and Murata, NXP now offers a full range of state of the art Wi-Fi and combo Wi-Fi/BLE solutions for every i.MX product. From low-power 802.11n for battery applications based on i.MX RT up to 802.11ac 2x2 for high performance audio/video streaming and automotive applications based on i.MX 8 and i.MX 8M. Drivers for Linux and FreeRTOS supported in Linux SDK and MCUXpresso SDK.
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Whether you are looking for an easy and cost-efficient parametrization solution or want to use a smartphone for ad-hoc diagnosis of a device - Near-field-communication (NFC) makes this possible now. Or you might want to communicate with a fully sealed, batteryless device? Learn in this session about many new use cases, in which NFC simplifies handling, saves cost or enables features which were not possible before in industrial or healthcare applications. With iPhones now also enabled for NFC reading there are more possibilities than you would have imagined!
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NXP’s complete end-to-end solution for USB Type-C offers ease-of-use integration into customer designs. The solution includes AC-DC converter for power supplies, PD PHY and CC Logic Controller, direct charging, signal re-drivers, signal switches, load switches, and authentication.
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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.
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Review of NXP’s current CAN portfolio and CAN functions, our support for CAN FD and an overview of the breakthrough products keeping CAN highly relevant for the new generation of vehicles.
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