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

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.

The NXP® eIQ™ machine learning software development environment enables the use of ML algorithms on NXP microcontrollers and microprocessors. eIQ software includes inference engines, neural network compilers and optimized libraries. This software not only leverages open-source technologies, it is fully integrated into our MCUXpresso SDK and Yocto development environments, allowing you to develop complete system-level applications with ease.

Near-field-communication (NFC) is the better, safer way to protect brands while ensuring ease of use for accessories and consumables. With NFC, the device itself can verify the authenticity and can configure operating modes or change settings based on the type of accessory or consumable. With a standard NFC phone, a user can check the originality or trigger a reorder through a simple tap. In this presentation we will show which options exist on NFC tag and reader side, and how to implement a solution in a practical example.

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 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

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