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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.
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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 
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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 
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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
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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
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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
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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
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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": [] },                
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UDOO Neo has been designed primarily as a complete pocket-size wireless solution for Internet of Things (IoT) and connected device development, featuring Wireless N and Bluetooth 4.0 LE on-board connectivity. Furthermore, the new board will also integrate a three-axis accelerometer, gyroscope and magnetometer, allowing it to sense its position in any given environment.         Features   Links http://www.udoo.org/udoo-neo-the-wireless-playground-for-the-internet-of-things-that-fits-in-your-pocket/ http://www.udoo.org/udoo-neo/ ARM Cortex-A9|i.MX 6 Multicore Processors|NXP Mobile World Congress, and what UDOO Neo represents in the IoT space - UDOO Board Image   UDOO Neo projects walkthrough:    
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MC07XS6517 and MC17XS6500 single ICs provide comprehensive, cost-effective solutions for halogen, industrial lighting, LEDs, xenons, main switches and DC motor control. The eXtreme switch products are the latest achievement in DC motors and industrial lighting drivers. They belong to an expanding family to control and diagnose various types of loads, such as incandescent bulbs or light emitting diodes (LEDs), with enhanced precision. The products combine flexibility through daisy chainable SPI at 5.0 MHz, extended digital and analog feedbacks, which supports safety and robustness. This new generation of our high-side switch products family facilitates electronic control unit designs supported by the use of compatible MCU software and PCB footprints, for each device variant.     Features Operating voltage range of 7.0 V to 18 V, with sleep current <5.0 μA 5.0 MHz 16-bit SPI control of overcurrent profiles, channel control including 8-bit PWM duty-cycles, output -ON and -OFF open load detections, thermal shutdown and pre-warning, and fault reporting Output current monitoring with programmable synchronization signal and supply voltage feedback Programmable overcurrent trip levels Enhance output current sense with programmable synchronization signal and battery voltage feedback Watchdog and limp home mode External smart power switch control -16 V reverse polarity and ground disconnect protections Compatible PCB foot print and SPI software driver among the family Programmable Penta high-side switches Wide range diagnostic, current sensing and very low Rdson Up to 30% smaller PCB and 50% lower component count MC07XS6517 and MC17XS6500 eXtreme Switch applications include halogen, industrial lighting, LEDs, xenons, main switches and DC motor control   Featured NXP Products MC17XSF500: MC17XSF500, Penta 17 mOhm High Side Switch - Data Sheet MC07XSF517: MC07XSF517, Triple 7.0 mOhm and Dual 17 mOhm High Side Switch - Data sheet Block Diagram  
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Video   NXP’s Touch Sense Interface (TSI) offers a complete solution to help easily integrate this growing ‘touch’ requirement on your next design. NXP’s touch software, offered as a middleware as part of the MCUXpresso SDK, is optimized to work with the Kinetis KE15Z MCU to deliver an easy-to-implement solution. Product features Advanced EMC robustness, pass IEC61000-4-6 standard test Support both of Self-cap sensor and Mutual-cap sensor, up to 36 touch keys Low BOM cost per touch key, no need for external devices Adjustable touch sensing resolution and sensitivity, high performance for waterproof Low power support NXP recommends the following links for additional information Product Link NXP Touch Solution for Kinetis KE15Z MCU Family NXP Touch-Based User Interface Solutions for Kinetis KE15Z MCU Family | NXP  Touch Module for Freedom Board FRDM-TOUCH|Touch Module for Freedom Board | NXP  Freedom Development Platform for Kinetis® KE1xMCUs FRDM-KE15Z Platform|Freedom Development Board | NXP 
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Demo Owner Mike Stanley     Features Measuring the output from sensors, then computing the orientation of the device with the KL25 Kinetis Microcontrollers using advanced filtering techniques such as: Kalman filtering, Indirect Kalman filtering Built a representation of the current orientation of the device, linear acceleration Fusion software incorporated in standard OS systems Windows, iOS, Android Software library, visualization tools and full development suite are available for customers Featured NXP Products FXOS8700CQ (6- Axis Accelerometer + Magnetometer) FXAS21002 (3-Axis Gyroscope) Development Hardware Used FRDM- KL25Zhttps://community.nxp.com/external-link.jspa?url=http%3A%2F%2Fwww.nxp.com%2Fproducts%2Fsoftware-and-tools%2Fhardware-development-tools%2Ffreedom-development-boards%2Ffreedom-development-platform-for-kinetis-kl14-kl15-kl24-kl25-mcus%3AFRDM-KL25Z FRDM-FXS-MULTI Design Resources Sensor Fusion Library for Kinetis MCUs Sensor Fusion Toolbox for Android Sensor Fusion Toolbox for Windows Training Hands on Workshop: Sensor Fusion Library for Kinetis MCUs Links Sensor Fusion NXP Community: Sensors Best of Sensors Expo (2014 Sensor's Expo)  
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Smart Pump Monitor Demo This demo shows a small water pump rig consisting of a water pump and 3 valves put together to collect data for supervised machine learning. Normal operation as well as abnormal conditions may be simulated with the rig. There are 2 sensor boards attached by clamps to the water pipe. Each sensor board has many sensors on it, but only the accelerometer will be used to gather the data. One board is used for data logging.  The other runs a model which was generated via machine learning based on data logged from the first board.  Pump vibration measurements are processed through the model by the MCU on that board to determine the operating state of the system Features Use of accelerometer to measure pipe vibration Sensing algorithm detects when the pump is clogged or drawing on air How to find patterns in data taken by NXP Sensors Links Sensor Fusion 10-Axis Sensor Data Logger http://www.nxp.com/files/sensors/doc/user_guide/RD-KL25-AGMP01-UG.pdf Related demos NXP Sensor Toolbox Demo Vibration Monitoring - Prediction using NXP Sensors Sensor Fusion for Kinetis MCUs
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This demo shows AIOP based data path offload for some of the popular Network Functions: IP Forward, IPSec, Netflow and Open Flow     Features: The Data path offload software is 'C' program running in the AIOP and provides control interface at the GPP for integrating with the GPP based control stack. The demonstration shows functionality of the above mentioned popular network applications live in the pedestal. Performance demonstration of the above mentioned popular network applications using remote setup. This implementation uses AIOP hardware accelerators – Table Lookup Unit, Statistics Engine,Timer Manager, Security Engine, Parser, CDMA/FDMA.   _______________________________________________________________________________________________________   Featured NXP Products: QorIQ Processors Based on ARM Technology|NXP QorIQ LS2085A Communication Processors|NXP _______________________________________________________________________________________________________     N09
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Combining NXP's wireless MCU with NFC controller allows to build a BLE-NFC bridge. It allows demonstrating transmission of NFC data over BLE, acting then as a king of Magic NFC remote. This demonstrator is built assembling the OM5578: Development Kits for PN7150 Plug’n Play NFC Controller (OM5578/PN7150ARD version including Arduino compatible connectors). on top of the FRDM-KW41Z: Freedom Development Kit for Kinetis ® KW41Z/31Z/21Z MCUs (minimum version B1 since previous versions have a pin conflict on the Arduino connector) Alternatively the Rigado R41Z Eval Board can be used as replacement to the FRDM-KW41Z To complete the demonstration, an android phone is used as BLE counterpart. It shall run the modified version of Kinetis BLE Toolbox android application including the NFC demo part. This dedicated version of the Kinetis BLE Toolbox android application is available for download from the files attached to this document. Below is a video of the demo. As shown, it demonstrate capabilities to control the NFC discovery remotely (via BLE) from the phone. Then, if tapping a card on the bridge, the related information including the content is conveyed through BLE to the phone and get displayed by the app. Additionally, the app can configure a message to be shared whenever an NFC reader (e.g. NFC phone) tap the bridge. The K41Z firmware of this demo is built based on the wireless UART example from MCUXpresso Software Development Kit (SDK), and updated with the porting of the NXP-NCI MCUXpresso example. The complete MCUXpresso project is given in source code in the attached files. To replicate the demo, just import it in an MCUXpresso workspace by selecting "Existing Projects into Workspace", then browsing to the BLE-NFC_bridge_MCUXpressoProject.zip file. Select the frdmkw41z_BLE-NFC_bridge from the "Project Explorer" view, and click on the blue bug icon to build, flash and debug the program.
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Overview NXP ®  offers solutions for the growing unmanned vehicle market in both civil and defense designs, supporting functions such as control, motion, vision, navigation, and communication. Target applications include: Unmanned Aerial Vehicle Unmanned Ground Vehicle Unmanned Underwater Vehicle Construction, demolition, inspection, or mining robot Firefighting or rescue robot Reference Designs NXP Product Link PX4 Robotic Drone FMU https://www.nxp.com/design/designs/px4-robotic-drone-fmu-rddrone-fmuk66:RDDRONE-FMUK66  KV Series Quad Motor Control https://www.nxp.com/design/designs/kv-series-quad-motor-control:KINETIS-DRONE-REFERENCE-DESIGN Block Diagram Recommended Products NXP Product Link MCU Kinetis® V Series: Real-time Motor Control & Power Conversion MCUs based on Arm® Cortex®-M0+/M4/M7 | NXP  LPC54000|Power Efficient 32-bit Microcontrollers (MCUs)|Cortex®-M4 Core | NXP  i.MX RT1060 MCU/Applications Crossover MCU | Arm® Cortex®-M7, 1MB SRAM | NXP  i.MX 6Solo Applications Processors | Single Arm® Cortex®-A9 @ 1GHz | NXP  i.MX 6Dual Applications Processors | Dual Arm® Cortex®-A9 @1.2GHz | NXP  i.MX 6Quad Applications Processors | Quad Arm® Cortex®-A9 | NXP  Wireless Connectivity Bluetooth®Smart/Bluetooth Low Energy | NXP  Interfaces In-Vehicle Network | NXP  I²C, SPI, Serial Interface Devices | NXP  USB Interfaces | NXP  NFC Reader NFC Readers | NXP  Wireless Power Wireless Power | NXP  Motor Driver GD3000 |3-phase Brushless Motor Pre-Driver | NXP  Voltage Regulator Linear Voltage Regulators | NXP  Switch Detector Signal Conditioners | NXP  Sensors Sensors | NXP  Tools and Software NXP Product Link i.MX RT1060 Evaluation Kit i.MX RT1060 Evaluation Kit | NXP  i.MX RT1020 Evaluation Kit i.MX RT1020 Evaluation Kit | NXP  SABRE Board for Smart Devices Based on the i.MX 6Quad Applications Processors i.MX 6Quad SABRE Development Board | NXP  i.MX RT1064 Evaluation Kit i.MX RT1064 Evaluation Kit | NXP  Kinetis® KV3x TWR-KV31F120M|Tower System Board|Kinetis® MCUs | NXP  i.MX RT1015 i.MX RT1015 Evaluation Kit | NXP  3-Phase Motor Control Low-Voltage, 3-Phase Motor Control Tower System Module | NXP  i.MX RT1050 Evaluation Kit i.MX RT1050 Evaluation Kit | NXP  NXP HoverGames drone kit including RDDRONE-FMUK66 and peripherals KIT-HGDRONEK66: NXP drone kit | NXP  Kinetis KV4x TWR-KV46F150M|Tower System Board|Kinetis MCUs | NXP  BSP, Drivers, and Middleware NXP Product Link Android OS for i.MX Applications Processors Android OS for i.MX Applications Processors | NXP  Embedded Linux for i.MX Applications Processors Embedded Linux for i.MX Applications Processors | NXP  MCUXpresso Software Development Kit (SDK) MCUXpresso SDK | Software Development for Kinetis, LPC, and i.MX MCUs | NXP  MCUXpresso Config Tools - Pins, Clocks, Peripherals MCUXpresso Config Tools|Software Development for NXP Microcontrollers (MCUs) | NXP 
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Demo Owner: Brian Shay Features Learn about enVision online design tool for interactive reference designs Search for NXP and find examples using i.MX6 Block level diagram for reference design for i.MX6 microprocessor Speed up application device with the processor chosen Ability to download the schematics in various popular formats Collaboration between different team members is possible using this tool many different NXP products represented besides the i.MX6   Featured NXP Products ARM® Cortex®-A9 Cores: i.MX 6 Series|NXP Links Arrow enVision for NXP Products  
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Demo Kinetis KW4x MCU is an ultra low power, highly integrated single-chip device that enables Bluetooth low energy (BLE) connectivity for portable, extremely low-power embedded systems.     Features iBeacon Location-based Messages The KW4x is an ultra low power, highly integrated single-chip device that enables Bluetooth low energy (BLE) or IEEE Std. 802.15.4/ZigBee RF connectivity for portable, extremely low-power embedded systems. Applications include portable health care devices, wearable sports and fitness devices, AV remote controls, computer keyboards and mice, gaming controllers, access control, security systems, smart energy and home area networks.  The KW4x SoC integrates a radio transceiver operating in the 2.36GHz to 2.48GHz range supporting a range of FSK/GFSK and O-QPSK modulations, an ARM Cortex-M0+ CPU, 160KB Flash and 20KB SRAM, BLE Link Layer hardware, 802.15.4 packet processor hardware and peripherals optimized to meet the requirements of the target applications.  The KW4x’s radio frequency transceiver is compliant with Bluetooth version 4.1 for Low Energy (aka Bluetooth Smart), and the IEEE 802.15.4-2011 standard using O-QPSK in the 2.4 GHz ISM band and the IEEE 802.15.4j MBAN frequency range spanning from 2.36 GHz to 2.40 GHz. In addition, the KW4x allows the Bluetooth Low Energy protocol to be used in the MBAN frequency range for proprietary applications. Enabled by Kinetis KW4x MCUs Discover location-based context A Bluetooth® Smart low-power application   Bluetooth Smart and 802.15.4 Dual Mode Communication BLE heart rate sensor on a KW40Z connecting, pairing and exchanging data with an iPod while the 802.15.4 end device (on the same KW40Z chip) associates and exchanges data with a coordinator. The OTA packets are displayed in sniffer applications on a Windows PC.  The KW4x is an ultra low power, highly integrated single-chip device that enables Bluetooth low energy (BLE) or IEEE Std. 802.15.4/ZigBee RF connectivity for portable, extremely low-power embedded systems. Applications include portable health care devices, wearable sports and fitness devices, AV remote controls, computer keyboards and mice, gaming controllers, access control, security systems, smart energy and home area networks.  The KW4x SoC integrates a radio transceiver operating in the 2.36GHz to 2.48GHz range supporting a range of FSK/GFSK and O-QPSK modulations, an ARM Cortex-M0+ CPU, 160KB Flash and 20KB SRAM, BLE Link Layer hardware, 802.15.4 packet processor hardware and peripherals optimized to meet the requirements of the target applications.  The KW4x’s radio frequency transceiver is compliant with Bluetooth version 4.1 for Low Energy (aka Bluetooth Smart), and the IEEE 802.15.4-2011 standard using O-QPSK in the 2.4 GHz ISM band and the IEEE 802.15.4j MBAN frequency range spanning from 2.36 GHz to 2.40 GHz. In addition, the KW4x allows the Bluetooth Low Energy protocol to be used in the MBAN frequency range for proprietary applications. Concurrent communication on BLE and 802.15.4 Suited for configuring 802.15.4 devices from your smart phone Automatic synchronization completely transparent to the application   BLE-enabled Smart Zumo Robot The Smart Zumo Robot is powered by the new Kinetis KW40X MCU and is enabled by Bluetooth Low Energy (BLE) technology. Low-power, Bluetooth Low Energy (BLE) application Running simple control implementation over BLE to interact and control with the robot Highly-integrated radio solution with scalable memory options   Featured NXP Products   Product Link Bluetooth Low Energy/IEEE® 802.15.4 Packet Sniffer USB Dongle for Kinetis® KW40Z/30Z/20Z MCUs Bluetooth Low Energy/IEEE® 802.15.4 Packet Sniffer USB Dongle for Kinetis® KW40Z/30Z/20Z MCUs | NXP      Development Hardware Used   Freedom Development Platform for Kit Bluetooth Low Energy/IEEE® 802.15.4 Pack
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Demo Owner: Michael L Dow   NXP's Metropolitan Area Network Demonstration Kit utilizes the latest IPv6 Mesh technologies and enables the Smart City of the future. This kit was built around a Smart Objects modem and IPv6 stack from Nivis based on the Kinetis K60 and the MC12311 sub-GHz radio. In this demo the Power PC P1025 Tower board acts as a Data Concentrator/Edge Router, gathering information from several battery powered wireless Smart Object end nodes—all managed via a Nivis’s Network Manager Software.       Features Sub- 1 GHz communication Metropolitan  Area Network Communication Featured NXP Products QorIQ Processing Platforms - P1025 MC12311 Kinetis K60 Development Hardware Used TWR-METRO-KIT Design Resources Demo Quick Start Guide Link to Nivis web page  
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  Description Many companies are creating products today that would benefit from adding payment capabilities to the design. However, getting the necessary PCI and EMVCo certifications are a significant engineering and development barrier. This solution is pre-certified for EMVCo and PCI PTS PIN entry device (PED) standards to give companies confidence that they will have a high likelihood of passing certification the first time without the added expense of failing and resubmitting. The solution for this is the design of a POS Reader Reference Design for applications requiring Payment Card Industry certifications, supporting QVGA display. The solution will implement NXP product for the software and hardware application and a scalable portfolio for reader interfaces and secure controllers/processors to address a wide range of POS solutions. Use Cases POS Standard Payments (EMVCo like) Loyalty / Couponing Open Loop and Close Loop Payments Retail Secure Card Reader Home banking Public Transportation (eg bus, metro) Parking Payment Prepaid Smart Meter Energy payment MPOS Micro-merchants, tradesmen Pay-on-delivery applications In-store shopper-assisted retail In-aisle check-out Loyalty, Couponing Transportation (eg taxis) Stadiums, events, attractions Block Diagram Products Category MCU Product URL 1 K81_150: Kinetis K81-150 MHz HW Cryptographic Co-Processor, Anti-Tamper & QuadSPI Microcontrollers (MCUs) based on Arm® Cortex® -M4 Core  Product Description 1 The Kinetis® K81 MCU extends the Kinetis MCU portfolio with advanced security capabilities including anti-tamper peripheral, boot ROM to support encrypted firmware updates, automatic decryption from external serial flash memory, AES acceleration, and hardware support for public key cryptography. Product URL 2 KL8x: Kinetis® KL8x-72/96 MHz Secure Ultra-Low Power Microcontrollers (MCUs) based on Arm® Cortex®-M0+ Core  Product Description 2 The Kinetis® KL8x MCU expands on the Kinetis low-power MCU portfolio with rich security features including tamper detection, true random number generator and low-power trusted crypto engine supporting AES, DES, 3DES, SHA, RSA and ECC. Product URL 3 i.MX RT1170 Crossover MCU Family - First Ghz MCU with Arm® Cortex®-M7 and Cortex-M4 Cores  Product Description 3 The i.MX RT1170 crossover MCUs is setting speed records at 1GHz. This ground-breaking family combines superior computing power and multiple media capabilities with ease of use and real-time functionality.   Category Power Management Product URL 1 https://www.nxp.com/products/power-management/wireless-power/15-watt-wireless-charging-receiver-ics:MWPR1516  Product Description The MWPR1516 wireless charging IC and reference platform, based on the Arm® Cortex®-M0+ core, extends our wireless charging portfolio to support up to 15 watt charging power. Product URL 2 PCA9410_9410A: 3.0 MHz, 500 mA, DC-to-DC boost converter  Product Description 2 The PCA9410 and PCA9410A are highly efficient 3.0 MHz, 500 mA, step-up DC-to-DC converters. They convert input voltages from 2.5 V to 5.25 V to a fixed output voltage of 5.0 V.   Category USB Product URL 1 PTN5110: USB PD TCPC PHY IC  Product Description 1 PTN5110 is a single-port TCPC-compliant USB Power Delivery (PD) PHY IC that implements Type-C Configuration Channel (CC) interface and USB PD Physical layer functions to a Type-C Port Manager (TCPM) that handles PD Policy management. Product URL 2 NX5P3290UK: USB PD and type C current-limited power switch  Product Description 2 The NX5P3290 is a precision adjustable current-limited power switch for USB PD application.   Category Secure Product URL 1 TDA8034: Low power smart card interface  Product Description 1 The TDA8034T/TDA8034AT is a cost-effective analog interface for asynchronous and synchronous smart cards operating at 5 V or 3 V. Product URL 2 A1006: Secure Authenticator IC - Embedded Security Platform  Product Description 2 The Secure Authenticator IC is manufactured in a high-density submicron technology.   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 NTAG213F, NTAG216F: NFC Forum Type 2 Tag compliant IC with 144/888 bytes user memory and field detection  Product Description 2 The NTAG213F and NTAG216F are NFC Forum Type 2 Tag compliant products with a field detection pin and offer a large range of User memory (144 bytes for NTAG213F and 888 bytes for NTAG216F).   Category Bluetooth Product URL QN908x: Ultra-Low-Power Bluetooth Low Energy System on Chip Solution  Product Description QN908x is an ultra-low-power, high-performance and highly integrated Bluetooth Low Energy solution for Bluetooth® Smart applications such as sports and fitness, human interface devices, and app-enabled smart accessories.   Category Peripherals Product URL 1 PCAL6408A: Low-voltage translating, 8-bit I²C-bus/SMBus I/O expander  Product Description 1 The PCAL6408A is an 8-bit general purpose I/O expander that provides remote I/O expansion for many microcontroller families via the I²C-bus interface. Product URL 2 PCA9634: 8-bit Fm+ I²C-bus LED driver  Product Description 2 The PCA9634 is an I²C-bus controlled 8-bit LED driver optimized for Red/Green/Blue/Amber (RGBA) color mixing applications. Product URL 3 PCF85063A: Tiny Real-Time Clock/calendar with alarm function and I2C-bus  Product Description 3 The PCF85063ATL is a CMOS Real-Time Clock (RTC) and calendar optimized for low power consumption. An offset register allows fine-tuning of the clock.
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