Technology Days - Training Material

Discussions

The presenter gives a detailed introduction of the NXP BLE solutions for Automotive. This session includes the description of the latest standard defined by the BT-SIG, and a clear presentation of the NXP silicon roadmap. The speaker also walks the audience through the development tools required to successfully implement a BLE communication system, with a specific attention given to applications such as car access and tire pressure monitoring. The attendees leave this session with a call for action that helps them select the right device and quickly move into their own development environment.

This training will take a user from “out of box” to a functioning IoT system including edge devices, gateway/border router, smart phone app and cloud connectivity, then run the system through its paces to highlight a subset of common IoT capabilities. The training will leverage the NXP Modular IoT Framework using a currently shipping, fully documented, Integrated Development Experience for the exercises. Southbound connectivity between gateway and the edge devices will be Thread and ZigBee®. Device commissioning will be via NFC and BLE. Northbound connectivity from gateway to cloud will be Wi-Fi. Cloud support will be via a major cloud provider. Note: Users will be able to use their own Android or iPhone with a recent OS version.

The presenter explains the key principles for localizing objects and gives a description of the silicon IP that is included in the KW devices and supports localization. Algorithms such as RSSI, Time-of-Flight and AoA/AoD are clearly described and examples of implementation are provided through the delivery of test results obtained on devices such as the KW35 and KW36. Partnership with external companies is also mentioned so that support can be obtained companies having a long experience in his technical domain.

This presentation will first 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. The hands-on session portion of the class will allow attendees to take a trained neural network model and deploy it on a i.MX 8M. Attendees will utilize the Linux development environment and implement an end-to-end use case.

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.

Join Rob Diebold and Mark Melone from NuCurrent to learn about the technical landscape of wireless charging along with practical guidance on how to move it from concept into production. This session will provide an overview of wireless charging technologies with an emphasis on charging solutions that utilize Qi and NFC Direct Charging. Several demonstrations that combine NXP and NuCurrent technologies will be provided along with a Q&A session with subject matter experts.

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

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

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