Overview   Digital dashboard market is growing, especially e-Scooter, E-bike demand are also growing. This solution will cover a wide range of uses for identification and vehicular applications. This solution is based on i.MX RT technology and our NFC portfolio products. Near Field Communication (NFC) is a fast, intuitive technology that lets you interact securely with the world around you with a simple touch. NFC wireless proximity technology is available in billions of smartphones, tablets, consumer and industrial electronics—with new devices arriving almost daily. Block Diagram Products Category MCU Product URL 1 i.MX RT1060 Crossover MCU with Arm® Cortex®-M7 core  Product Description 1 The i.MX RT1060 is the latest addition to the industry's first crossover MCU series and expands the i.MX RT series to three scalable families. Product URL 2 LPC551x/S1x: Baseline Arm® Cortex®-M33-based Microcontroller Family  Product Description 2 The LPC551x/S1x MCU family expands the world’s first general purpose Cortex-M33-based MCU series, offering significant advantages for developers, including pin-, software- and peripheral-compatibility.   Category Charger Product URL 1 MWCT1x23: 65W+ Wireless Power Transmitter Controller  Product Description 1 The NXP® MWCT1x23 65W+ Wireless Power Transmitter Controller IC provides high speed control loops, robust foreign object detection, over voltage and over current protection to enable safe and secure power delivery through non-magnetic materials such as air, glass, wood, and plastic. Product URL 2 MWPR1x24: 65W+ Wireless Power Receiver with Integrated Radio  Product Description 2 The NXP® MWPR1x24 65W+ Wireless Power Receiver Controller with Integrated Radio IC provides all receiver parameters monitoring, communication with transmitter, over voltage and over current protection to enable safe and secure power delivery through non-magnetic materials such as air, glass, wood, and plastic.   Category Wireless Product URL 1 88W8987: 2.4/5 GHz Dual-Band 1x1 Wi-Fi® 5 (802.11ac) + Bluetooth® 5 Solution  Product Description 1 The 88W8987 is a highly integrated Wi-Fi (2.4/5 GHz) and Bluetooth single-chip solution specifically designed to support the speed, reliability and quality requirements of Very High Throughput (VHT) products.   Category Secure Element Product URL EdgeLock™ SE050: Plug & Trust Secure Element Family – Enhanced IoT security with maximum flexibility  Product Description The EdgeLock SE050 product family of Plug & Trust devices offers enhanced Common Criteria EAL 6+ based security, for unprecedented protection against the latest attack scenarios.   Category NFC Product URL 1 PN5180: Full NFC Forum-compliant frontend IC  Product Description 1 The PN5180 is a high-performance full NFC Forum-compliant frontend IC for various contactless communication methods and protocols. Product URL 2 PN7462: NFC Cortex®-M0 all-in-one microcontroller with optional contact interface for access control  Product Description 2 The PN7462 family consists of 32-bit Arm® Cortex®-M0-based NFC microcontrollers offering high performance and low power consumption. Product URL 3 MIFARE® DESFire® EV3: High-Security IC for Contactless Smart City Services  Product Description 3 The features of the MIFARE DESFire EV3 IC reflect NXP’s continued commitment to secure, connected and convenient contactless Smart City services.   Category Peripherals Product URL 1 PCA9955BTW: 16-channel Fm+ I²C-bus 57 mA/20 V constant current LED driver  Product Description 1 The PCA9955B is an I2C-bus controlled 16-channel constant current LED driver optimized for dimming and blinking 57 mA Red/Green/Blue/Amber (RGBA) LEDs in amusement products. Product URL 2 TJA1041A: High-speed CAN transceiver with standby and sleep mode  Product Description 2 The TJA1041A provides an advanced interface between the protocol controller and the physical bus in a Controller Area Network (CAN) node. Product URL 3 PCA85073A: Automotive tiny Real-Time Clock/Calendar with alarm function and I2C-bus  Product Description 3 The PCA85073A is a CMOS1 Real-Time Clock (RTC) and calendar optimized for low power consumption.

  Overview NXP’s Motion Control and Robotics solution provides the computing performance, embedded connectivity, low latency and a real-time open source operating system to address the requirements for multi-axis motion control and robotics applications.  This solution is based on an i.MX RT1050, which controls four steppers motors that activates the different kind of movement of the robotic arm for the 3D printer to function. This solution also counts with the FreeMASTER GUI for easy debugging and a better presentation and control of the system. Use Cases Our robust product portfolio makes motor and robotics control more precise, secure and effective for the creation of end-products with applications like: 3D printers Industrial applications: Welding machines Material handling Painting and drilling Assembly machines Surgical assistants Block Diagram Products Category MCU Product URL i.MX RT1050 Crossover MCU with Arm® Cortex®-M7 core  Product Description The i.MX RT1050 is the industry's first crossover MCU and combines the high-performance and high level of integration on an applications processors with the ease of use and real-time functionality of a microcontroller.   Category Motor Driver Product URL GD3000: 3-Phase Brushless Motor Pre-Driver  Product Description The GD3000 is a gate driver IC for three-phase motor drive applications providing three half-bridge drivers, each capable of driving two N-channel MOSFETs.   Category Power Management Product URL PCA9412: 3.0 MHz, 300 mA, DC-to-DC boost converter  Product Description The PCA9412 and PCA9412A are highly efficient 3.0 MHz, 300 mA, step-up DC-to-DC converters.

This is a quick video for demonstration purposes of the i.MX RT1060 Evaluation Kit capability for running an Embedded Wizzard GUI application and a Neural Network Model as an inference engine.

Demo      Features Detect fatigue using a camera via an algorithm based on optical absorption rate of facial blood vessels Efficient processing with up to 1.2MHz Quad ARM Cortex-A9 architecture with a NEON multimedia processing acceleration engine Video processing unit in i.MX 6Quad to record front camera video in H.264 format Face tracking algorithm to track the driver's head for a real driving use case   NXP Recommends i.MX6Q|i.MX 6Quad Processors|Quad Core

Built to automotive grade specifications, this Qi compliant wireless charging reference design charges up devices in the car. The devices can integrate into the dash or center console of car.     https://community.nxp.com/players.brightcove.net/4089003392001/default_default/index.html?videoId=4282648274001" style="color: #05afc3; background-color: #ffffff; font-size: 14.4px;" target="_blank   Features Wireless Charging Reference design for Automotive applications Integration into dash board or center console 5 Watts of power following Qi standard Near field Communication (NFC) Loop included   Featured NXP Products 5 Watt Wireless Automotive 5 Watt Wireless Industrial Links WCT-5WTXAUTO: Multi-Coil Wireless Charging Tr Block Diagram  

Demo Owner: Nik Jedrzejewski The PICO-IMX7-EMMC from TechNexion is a small footprint SOM equipped with a wide array of high-speed connectivity. ___________________________________________________________________________________________________________________ Featured NXP Products: i.MX 7 Series Applications Processors: Multicore, ARM® Cortex®-A7 Core, ARM Cortex-M4 Core External link Computex 2016

Demo   SCM-i.MX6D is the smallest single chip system module integrating NXPs high end apps processor along with memory PMIC and Flash. Demo will show this small yet powerful module running graphics, android applications as well as other IoT/ portable applications. The SCM will be integrated with an external WiFi along with a sensor hub and will be demonstrating the SCM capability along with WiFi.     Features Ultra-small SCM i.MX 6D includes i.MX 6Dual, 16 MB SPI NOR flash, PMIC PF0100, 109 discrete devices, and enabled for 1 or 2 GB LPDDR2 Single 17 mm x 14 mm x 1.7 mm footprint Displaying a video game and Miracast using a Wi-Fi connection to a Smart TV   Featured NXP Products Single Chip System Modules (SCM) Single Chip Module i.MX 6Dual

Overview This NXP® reference design is a speed closed-loop BLDC drive using a sensorless technique that serves as an example of a BLDC motor control design using an NXP K60 MCU. Simple and easy to understand control approach to BLDC, using MQX in a time-critical application. Contains two versions of the application software, one with the MQX RTOS, and the other bare-metal The MQX version contains a web server to demonstrate the benefits of an MQX-based solution Both use the same source code for motor control Features BLDC motor control using the BEMF integration method for position determination Targeted for the TWR-K60N512 controller board Speed closed-loop with speed measurement Adjustable speed ramp Motor mode in both directions of rotation Minimum speed of 400 rpm Maximum speed of 4000 rpm Tested up to 30 rpm with a one-pole pair motor Overvoltage, Undervoltage and overcurrent fault protection FreeMASTER control interface Control via a web server Block Diagram Board Design Resources

Demo Running NXP’s i.MX6SX application processor, Earthquake warning system proof of concept is able to warn citizen about Earthquake. Data are gathered from local sensor, remote sensors based on K64F NXP’s controllers and seismology servers from Internet. Features: Give citizens warning against Earthquakes Runs on the NXP i.MX6SX application processor with Linux® OS. Presents i.MX6SX asymmetrical architecture features, where data are measured locally by Cortex-M4 with FreeRTOS and displayed and presented by Cortex-A9 core with Linux® OS. Cortex-M4 can measure in real-time and monitor Linux part. Cortex-A9 can sleep to save power and be waked up by the quake detected by Cortex-M4. Communication between cores via RPMsg. Remote sensor’s accelerometer data are measured running K64F microcontrollers Seismology server’s data are displayed and analysed ___________________________________________________________________________________________________________________________ Featured NXP Products: Product Link Freedom Development Platform for Kinetis® K64, K63, and K24 MCUs FRDM-K64F Platform|Freedom Development Board|Kinetis MCUs | NXP  i.MX 6SoloX Processors - Heterogeneous Processing with Arm® Cortex®-A9 and Cortex-M4 cores i.MX 6SoloX Applications Processors | Arm® Cortex®-A9, Cortex-M4 | NXP  __________________________________________________________________________________________________________________________

Demo Owner: Gregory Camuzat   Get a quick overview of the TWR-KV31F120M Tower System with the Kinetis KV3x microcontroller. This demonstration shows how to get the low-voltage 3-phase motor spinning using a PMSM sensorless FOC control algorithm and how to control its speed using the KV3 Tower System board and your Windows PC.       Features Get a quick overview of the TWR-KV31F120M Tower System with the Kinetis KV3x Microcontroller. This demonstration shows how to get the low-voltage 3-phase motor spinning using a PMSM Sensorless FOC control algorithm and how to control its speed using the KV3 Tower System board and your Windows PC Featured NXP Products Product Link Kinetis® KV3x Family Tower® System Module TWR-KV31F120M|Tower System Board|Kinetis® MCUs | NXP  FreeMASTER Run-Time Debugging Tool https://www.nxp.com/design/software/development-software/freemaster-run-time-debugging-tool:FREEMASTER?&tid=vanFREEMASTER Links PEMicro Windows USB Drivers IAR Embedded Workbench for ARM  

The demo from Code is an ultra-compact Sub-GHz to Wi-Fi Border Router solution for use in Home Automation Wireless Sensor Nodes, Smart Lighting, Smart City, Smart Meters, Smart Parking and IoT. The demo consists of an NXP SCM-i.MX 6SoloX V-Link device (i.MX6SoloX/PF0100/512MB LPDDR2) + Code V-Link Top board with 802.11a/b/g/n/ac module + Code Carrier board with the Phalanx Border Router. The Phalanx Border Router provides an optimized mesh network for sensing applications SCM V-Link technology is ideal for space-constrained applications allowing customers to integrate vertically. Features: Top board: Broadcom 2.4 GHz & 5 GHz Wi-Fi, 802.11 a/b/g/n/ac , up to 390 Mbps. U.FL standard antenna connector. SCM-i.MX6 SX V-Link Top board form factor, 15.5mm x 15.5mm. Optimized mesh network for sensing applications. Thousands of nodes, minimizing deployment costs. 900 MHz Wireless. A new, clever routing algorithm which reduces routing overhead. IPv6 capable __________________________________________________________________________________________________________________ Featured NXP Products: Single Chip System Modules (SCM)|NXP Partner CODE Ing __________________________________________________________________________________________________________________  

Cloud-Connected Parking Spot Sensor Demo This demo shows a use case of the LS1021 IoT GW along with a FRDM-KW24 powered Magnetometer sensor to monitor the  car parking spot  locations such as garage parking  in a building, Traffic Management and Traffic Monitoring   The data can be reported and monitored from the Cloud. Features: Small footprint platform with a wide variety of high-speed connectivity and low-speed serial interfaces through the use of the ARM-based QorIQ LS1021A embedded processor. The  FRDM-KW2 sensor data is send via Thread to the LS1021 IoT GW and The Proximetry Agent posts information to cloud server. _______________________________________________________________________________________________________ Featured NXP Products: Product Link Freedom Development Platform for Kinetis® KW2x MCUs FRDM-KW24D512|Freedom Development Platform|Kinetis | NXP  LS1021A-IoT Gateway Reference Design https://www.nxp.com/design/designs/ls1021a-iot-gateway-reference-design:LS1021A-IoT?&lang_cd=en _______________________________________________________________________________________________________ N15

About the demo components For this demo, we are using the Sigfox kit, which includes the FRDM-KL43Z and the OM2385 board. Sigfox is an inexpensive, reliable, low-power solution to connect sensors and devices.  With our dedicated radio-based network, we are committed to giving a voice to the physical world and making the Internet of Things truly happen.  The Sigfox protocol focuses on:  Autonomy. Extremely low energy consumption allows years of battery life. Simplicity. No configuration, connection request or signaling. Your device is up and running within minutes! Cost efficiency. From the hardware used in the devices on our network, we optimized every step to be as cost-effective as possible. Small messages. there are no large assets or media allowed on the network.  Only small notifications up to 12 bytes are allowed. Complementarity. Thanks to its low cost and ease of configuration, you can also use Sigfox as a secondary solution to any other type of network, e.g.: Wi-Fi, Bluetooth, GPRS, etc. You can read more about Sigfox in What is Sigfox? | Sigfox build.     The OM2385/SF001 is a development platform dedicated to SIGFOX Wide Area Networking applications. It includes an OL2385 wireless sub-GHz transceiver running the preprogrammed SIGFOX library and is mounted on an FRDM-KL43Z development platform that serves as a host processor for the user's application. The FRDM-KL43Z is an ultra-low-cost development platform for Kinetis L families KL43, KL33, KL27, KL17, and KL13 MCUs built on Arm Cortex-M0+ processor running at 48 MHz.   Video     Limitations: Sigfox is only able to send a small amount of data every day for free, so if your application requires more data to be sent, you need to get a connectivity plan from Sigfox Buy .   Useful Links FRDM-KL43Z and NXP Sigfox OL2385 Board : OM2385/SF001 - SIGFOX Development Kit | NXP  Sigfox Backend Account: Sigfox Buy  Download MCUXpresso: MCUXpresso IDE|Eclipse-based Integrated Development Environment (IDE) | NXP  Download SDK: https://mcuxpresso.nxp.com/en/builder    NXP Product Link FRDM-KL43Z and NXP Sigfox OL2385 Board OM2385/SF001 - SIGFOX Development Kit | NXP  Sigfox Backend Account Sigfox Buy  Download MCUXpresso MCUXpresso IDE|Eclipse-based Integrated Development Environment (IDE) | NXP  Download SDK https://mcuxpresso.nxp.com/en/builder    Required Items:     OL2385 Arduino Shield Board FRDM-KL43Z hardware USB A-to-MiniB cable Sub-GHz Antenna GPS UART module   Hardware Diagram:    SPI OL2585 KL43Z FRDM UART GPS MOSI ---------- MISO ---------- SCK ----------- ACK ----------- CS ------------- PTD07 PTD06 PTD05 PTD02 PTD04 PTE23 PTE22           ----------- TX ----------- RX         This picture shows the board connections made for the project     Step-by-Step Guide After we get the Required items, we need to activate the Sigfox account and register our board: Sigfox Buy  If you are having trouble registering your Sigfox device, don't hesitate to write your question in our NXP community. We register the board in our backend account, and we should see the device on our device list. When we have our board registered, we will start building the application on MCUXpresso. Download the project attached at the end of this document and import it into MCUXpresso IDE.  In the video, how to import the sigfox_console example from the SDK is shown, and a brief explanation of the modifications is given. If you want to download the SDK example to start your project from scratch, you need to add the Sigfox software component to the SDK. After importing the project to our workspace, the only thing left is to make the respective hardware connections and flash the device. Then try your new project in a building-clear area. To be sure your new project will function properly, you should avoid tall buildings to get a stronger signal. The data sent should be seen in your Sigfox backend session. Teraterm console prints the data obtained from the GPS module for your viewing purposes.   Results:       This is the data sent from the Sigfox transceiver to the user backend account. The sent frames are floating-point coordinates converted to four byte-hexadecimal strings.     After the attached project is flashed to the KL43Z, this should be the results seen in the Teraterm console.

What’s it like to sit in a state-of-the art eCockpit? Put on a virtual reality headset and find out! Here, the virtual world meets the real world as live video content from 4 displays -- a HUD, cluster, infotainment and rear seat entertainment systems – is processed and streamed realtime from a single i.MX 8 applications processor.  i.MX 8 series will transform interactions in ways you’ve never imagined   NXP product recommended i.MX 8 ARMCortex-A53 Processor|NXP 

About this demo This demo shows the usage of a Neural Network (NN) applied for handwritten digit recognition, the NN model runs on the i.MX RT1060 MCU. The main idea of the demonstration is to show the i.MX RT capability to manage a graphical user interface while applying a NN model to recognize handwritten numbers to determine whether a password is correct or wrong. The demonstration is tested by setting a 4-digit password to a 4.3" LCD Panel, then the user must enter the correct password to unlock device; when the password is provided, the digits recognized by the NN are displayed on the screen. A 'Clear' button will erase the previous numbers for the user to try a new password to unlock the device. Technical Introduction and Acknowledgment The demo is available using two different approaches for the model creation and inference engines: TensorFlow Lite and CMSIS-NN using Caffe Framework.   TensorFlow Lite The application note AN12603 describes handwritten digit recognition on embedded systems through deep learning. The digit recognition is performed by a TensorFlow Lite model trained with the MINST dataset containing 60,000 handwritten grayscale images and 10,000 testing examples. This application note, deep dives into every step to achieve the application using Tensorflow Lite and build a GUI using Embedded Wizard.   CMSIS-NN using Caffee Framework The application note AN12781 explores the usage of Deep Neural Networks created in Caffe Framework, this framework allows creating a model and convert it to CMSIS-NN functions to be exported to the i.MX RT platform as source files. The model is also trained for the digit recognition using the MNIST dataset. The document describes the procedure to create, train and deploy the model; in the final step the model is exported a C source files using CMSIS-NN functions and weights that are exported to the i.MX RT1060 project. Video     Hardware setup   Recommended Products i.MX RT1060 Evaluation Kit | NXP  4.3" LCD Panel RK043FN02H-CT | NXP    Further Information                                           The NXP ® eIQ ™ software environment enables the use of ML algorithms on NXP MCUs, i.MX RT crossover MCUs, and i.MX family SoCs. eIQ software includes inference engines, neural network compilers and optimized libraries. Additionally,  the models can be optimized through techniques like quantization and pruning, AN12781 explores the possibility of optimization by creating a new model using Caffe with a quantization to simplify the floating-point data. By reducing the 32-bit floating-point data to an 8-bit and fixed-point format, the memory allocation got reduced and this resulted in a lower-processing power.   Transfer Learning Transfer learning gives machine learning models the ability to apply past experience to quickly and more accurately learn to solve new problems. This technique has become very important in deep learning. AN12892 describes how to perform transfer learning in TensorFlow and a use case example, which aims to improve the performance of the application from AN12603.    Useful Links   Links  AN12603 AN12603 Software AN12781 AN12781 Software AN12892 AN12892 Software eIQ™ for TensorFlow Lite | NXP  Caffe | Deep Learning Framework  Embedded Wizard | Simplify Your GUI Development  What is a Container? | App Containerization | Docker 

Demo Features: Based on latest SOM Colibri i.MX7D 512 MB from Toradex Heterogeneous architecture: Qt on top of Linux on ARM® Cortex®-A7 core Realtime control loop on FreeRTOS on ARM® Cortex®–M4  Balancing control loop and mechanics by Antmicro  Face emotions using Qt 5.6 beta done by The Qt Company ______________________________________________________________________________________________________________________ NXP Featured Products: NXP i.MX 7 - Computer | System on Modules ______________________________________________________________________________________________________________________ C78

The purpose of this project is the control of a RGB LED panel using the FlexIO peripheral included in the Kinetis K82 microcontroller. The FlexIO peripheral offers a great advantage, unloading the CPU in the process of refreshing the LED color and brightness information, comparing with other control methods using GPIO bit-banging or PWM + DMA. I will use different method. The panel will use LED stripes with the WS2812B controller. We will also have a simulation platform for developing the applications. Hardware: 30 x16 LED WS2812B Panel Multiplexer board FRDM-K82 Uctronics QVGA display Software: IAR Workbench 7.50.1 SDK 1.3 for the Kinetis K82 FreeRTOS eGUI graphic library You can watch the video with the LED panel working: Video Link : 4707 Part 1: Building the LED Panel Part 2: LED control method using the FlexIO Part 3: Software for LED Panel emulation Part 4: Software for panel control

Demo High performance feature extraction and tracking application at ultra-low power on S32V platform. This demo showcases a real-time high computation algorithm with image capture and display running on a portion of the resources available on the S32V234. Customers can create demanding Automotive grade vision systems such as stereo and single camera as well as advanced surround view systems based on this demo. The application was written using APEX-CV pro library and demonstrates that high performance application leveraging the APEX Image Cognition Processor cores of the S32V234 could also be easy to write Features The APEX cores, with a combined 128 parallel computational units, crunch numbers quickly and at a fraction of the power. Fully programmable, the cores can execute standard and/or customized vision algorithms for ADAS applications and beyond. The S32V234 MCU captures raw images from HD sensor, and then formats the images with its on-chip ISP that here provides exposure control, white balancing, RGB to Y color conversion.  Formatted images are then feed into the APEX cores that generate multi-level image pyramids, and combined Harris Corner for feature detection followed by Lukas-Kanade (KLT) Sparse Optical Flow for feature tracking.  Then features and displacement are overlaid on image and displayed, at the processing performance of up to 100 fps NXP Recommends The S32V230 Processor family for Vision ADAS, includes the award winning automotive grade S32V234 MCU with dual APEX Image Cognition Processor cores. http://www.nxp.com/products/microcontrollers-and-processors/arm-processors/s32-processors-and-microcontrollers/s32v230-family-of-processors-for-advanced-driver-assistance-systems:S32V230 Video Links

Demo This demo showcases the MAC57D5xx microcontroller rendering on a LVDS 1280x480 display for a full digital graphic instrument cluster and a Head-up Display on a secondary panel showcasing the warping capabilities of the microcontroller.       Single-chip instrument cluster solution with powerful graphics subsystem, including inline Head-Up Display warping functionality Dual-core ARM® Cortex®-A5/M4 for real-time and application processing and additional Cortex-M0+IOP core Cryptographic Services Engine, tamper detection and password protection for Flash memory and JTAG   Links Ultra-Reliable Multi-Core ARM-based MCU

About this demo   Heads up! This article contains instruction updates due to changes in NXP's SDK and also on AWS website.   This demo will focus on the WIFI enablement and cloud connectivity through AWS by using MCUXpresso and an Amazon Alexa.   Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully-featured services from data centers globally. Millions of customers —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. The LPC5500 used for this demo is the LPCXpresso55S69 development board which provides the ideal platform for evaluation of and development with the LPC55S6x MCU based on the Arm® Cortex®-M33 architecture. The board includes a high performance onboard debug probe, audio subsystem and accelerometer, with several options for adding off-the-shelf add-on boards for networking, sensors, displays, and other interfaces. The Alexa Skills Kit is a collection of self-service APIs, tools, documentation, and code samples that makes it easier to start building Alexa skills. Skills are like apps for Alexa, enabling customers to perform everyday tasks or engage with your content naturally with voice.   Block Diagram List of Products LPCXpresso55S69 WiFi 10 CLICK   Alexa Echo Dot USB A-to-Micro USB cable Step by Step Guides First, we need to create an account AWS and generate the “thing” that will be linked to the platform, this information can be followed step-by-step on this manual. Import AWS remote control WiFi Demo from the SDK Builder Select the LPCXpresso Board, click on the "Add software component" button, then select "Select All". Download the SDK Open MCU Xpresso and Import SDK examples, and then select the LPCXpresso 55 board and import into the aws_exaples find the aws_remote_control_wifi and also click on the UART for debugging. On the project find the amazon-freertos example, then demos and open the aws_clientcredential.h and change: The AWS IoT broker endpoint (Under thing settings “Interact” section) Write the “Things Name” And WiFi credentials. Replace the aws_clientcredential_keys.h with the one generated by the certification configuration tool from AWS, You can drag and drop it into the folder and then click overwrite. Build and download the application into your board. Video   External Links NXP Product Link LPCXpresso55S69 https://www.nxp.com/products/processors-and-microcontrollers/arm-microcontrollers/general-purpose-mcus/lpc5500-cortex-m33/lpcxpresso55s69-development-board:LPC55S69-EVK WIFI 10 CLICK https://www.mikroe.com/wifi-10-click Amazon Web Services https://aws.amazon.com/?nc2=h_lg Alexa Skills Kit https://developer.amazon.com/en-US/alexa/alexa-skills-kit   Demo instructions update for 09/25/2020 Due to NXP's SDK updates, some file routes have changed inside the MCUXpresso project: The CertificateConfiguration Tool is located now on: SDKPackages\SDK_2.8.0_LPCXpresso55S69.zip\rtos\freertos\tools\certificate_configuration\ •Location of wifi_shield_silex2401.h \wifi_qca\port\shields\silex2401\wifi_shield_silex2401.h has changed location to wifi_qca\port\boards\lpcxpresso55s69\freertos\silex2401\wifi_shield_silex2401.h Additionally, there is now a clickboard define file available and these changes are already applied: #define BOARD_INITWIFI10CLICKSHIELD_PWRON_PIN 5U //Already done #define WIFISHIELD_WLAN_PINT_CONNECT (kINPUTMUX_GpioPort1Pin18ToPintsel) // IRQ Alexa_RC_json_skill.json.zip file changes:             AMAZON.StopIntent { "name": "AMAZON.StopIntent", "samples": [] },