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Learn about NXP's S32V family for vision processing, with a special focus product architectures and software (enablement and application level). You will also see real application use case examples using APEXCV Libraries and EVB.
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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.
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Completing a production-ready smart charging or resonant converter design can be tricky, tedious, and even challenging for many engineers. 1. Purpose of this training is to discuss design of smart charging: Introduce smart power design tools to address design challenges in order to improve conversion. 2. Resonant converters: Highlight key elements a designer needs to understand in order to effectively design a resonant converter. An online based resonant converter design tool is introduced to further help resonant converter design.
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Overview of NXP Kinetis new products, KE+, security with K8x & KL8x.  
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Introduction to Ethernet capable processors for automotive.
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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
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Get immersed in enriched user interfaces with audio, video, voice and vision. Sense how the i.MX 8 portfolio delivers performance, versatility and connectivity to applications as media streaming, voice assistance, edge computing, machine learning/vision and Industrial IoT.
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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.
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This class provides an introduction to the model-based design tools for vision and RADAR. The lecture will provide an overview of each of the tools along with a demonstration.
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S32K11x, S32K14x and future S32K2x compatibility and migration examples.
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Amazon Alexa has changed voice control forever. Come learn about our i.MX based solutions for Amazon Alexa. Learn about our reference platforms, what are the key factors to consider when designing a voice control solution and see how easily you can add Alexa into your next-generation devices.
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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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Learn about the automotive microcontrollers innovative applications.
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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.
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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
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This hands-on session introduces the MCUXpresso suite of tools (IDE, SDK, Config Tools) and shows users how to rapidly start development with thousands of Kinetis and LPC MCUs based on the ARM® Cortex®-M core. Using either Kinetis or LPC development hardware, attendees will build a custom SDK, configure pins and clocks settings, generate a project, import and debug an application.
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This session will cover various Industrial and Automotive IoT sensor applications such as a low-power Keyfob, machine condition monitoring, asset tracking, Smart air filter monitoring and smart meter tamper detection. Edge computing will be a major highlight in the industrial use cases.
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Do you need a robust MCU for high reliability and safety applications? Join this class to learn about the S32K MCU platform which offers auto grade, CAN-FD, lower power, hardware and software scalability and a minimum 15 year longevity.
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