LS1021A IoT Gateway/Thread Border Router Demo LS1021A Gateway Reference Design operating as Thread Border Router/Gateway Connects high density Thread 802.15.4 mesh network to cloud Sensor network detects parking spot usage in large parking structure This Demo Is Probably of Interest If You: Need high bandwidth to the cloud, other gateways, etc. w/OpenWRT Need to connect a large number of low power wireless edge devices Looking to use a Thread 802.15.4 mesh to connect sensors Differentiation This Demo Highlights Ability to quickly connect Thread network to high capability Gateway Use Linux on LS1021A to display data from sensors and also post to cloud Gateway can function as a multi-protocol gateway and Thread Border Router Description This illustrative demo leverages the LS1021A-IoT Gateway and features the KW24 Freedom board attached to the onboard Arduino headers. This FRDM-KW24 communicates with the KW24 sensor boards using the Thread protocol over 802.15.4. The embedded Linux on the LS1021A-IoT can be used to display information sent and received from the KW24 sensor boards and can also forward the information to a cloud application. The demo simulates an illustrative automated parking structure system that tracks and displays open parking spaces locally for drivers, as well as remotely to allow for managing parking availability across multiple lots for activities such as major sporting and entertainment events where tens of thousands of cars need to be directed to open parking in a short period of time. Full Listing of Products/Components Note: For full listing or additional information for Products/Components used in this demo see "This Demo's IoT Highlights" in Left Column and Additional Products/Components below that. Note: If you aren't looking at this demo in the IoT Solutions Center, please use below link to access IoT Center: LS1021A Thread IoT Gateway Demo  What this Demo is All About [Demo Video is Under Construction] Demo Diagram(s) IoT Physical Components Gateways SOC: QorIQ LS1021A Boards/Modules: QorIQ LS1021A IoT Gateway Reference Design FRDM-KW24D512 Software: Linux BSP OpenWRT Edge Devices SOC: Kinetis KW24D512 Sensor Boards/Modules: FRDM-KW24D512 Sensor Prototype Board Software: Thread Stack Prototype Sensor SW Wireless Connectivity SOC: Kinetis KW24D512 802.15.4 2.4G Transceiver Modules: FRDM-KW24D512 Software: Thread Stack w/ 802.15.4 PHY/MAC Sensors SOC: Sensor Modules: Sensor Prototype Board Software: Prototype Sensor SW IoT Development Capabilities Embedded Platforms Linux BSP w/OpenWRT Kinetis SDK Embedded Tools GNU Tools (Packaged with Linux BSP) IAR Embedded Workbench for ARM IoT Product Type Product/Component Vendor Research or Procure This Product/Component End User Hardware USB Wireless Keyboard and Touchpad Commercial Logitech Wireless Touch Keyboard K400 with Built-in Multi-Touch Touchpad, Black End User Hardware Dell 22" HDMI Monitor Commercial Dell 22" Monitor End User Smart Device Motorola XT1032 Moto G Android Smart Phone Commercial Motorola Android Smart Phone End User Edge Device Xfinity XR2 Remote Control Unit Commercial Comcast Remote Control End User Edge Device Philips HUE Bulb ZigBee Lightlink (HA 1.2) Commercial Hue, Professional Wireless LED Lighting | Philips Lighting End User Edge Device CentraLite 3-Series Appliance Module (4257050-RZHAC) (Zigbee HA 1.2) Commercial SmartPlug End User Edge Device Axis 0301004 M1011-W camera (WiFi g) Commercial AXIS M1011-W Network Camera, a small wireless IP camera | Axis Communications End User Edge Device Maxxima Style Night Light w/ sensor Commercial Night Light End User Edge Device TP-LINK TL-MR3020 3G/4G Wireless N 150 Portable Router Commercial WiFi Router

Demo Watch this training video about NXP’s new 65 V LDMOS technology that speeds RF power design. This extra-high voltage LDMOS process will give rise to a new generation of products: the MRFX series   Products MRFX1K80H|1800 W CW, 1.8-470 MHz, 65 V|NXP  MRFX1K80N|1800 W CW, 1.8-470 MHz, 65 V|NXP 

Demo Owner: Derek Snell   This demo combines several solutions from NXP and our partners. The demo is a thermostat application, using the Kinetis family as a communication gateway between a ZigBee network and connecting to the cloud. The demo runs on the MQX Real-Time Operating System (RTOS). It also uses the NXP PEG graphics library for the user interface displayed on an LCD. The ZigBee communication uses NXP’s BeeStack ZigBee stack, and connects with an NXP wireless development board programmed as a remote temperature sensor. The demo will also connect with an off-the-shelf ZigBee light bulb, and wirelessly controls it. The demo network connection is setup for Wi-Fi, using a Wi-Fi module from Qualcomm. The cloud connection allows the thermostat to be monitored and controlled remotely with mobile devices, and uses a solution provided by deviceCloud.io.     NXP Products Product Link Shield Adapter Module for the Tower System Shield Adapter Module for the Tower System | NXP  Kinetis® KW2x Tower System Modules TWR-KW2x|Tower System Board|Kinetis® MCUs | NXP  Kinetis K70 120 MHz Tower System Module TWR-K70F120M|Tower System Board|Kinetis MCUs | NXP  Serial (USB, Ethernet, CAN, RS232/485) Tower System Module Serial (USB, Ethernet, CAN, RS232/485) Tower System Module | NXP  Graphical LCD Tower System Module with RGB Interface Graphical LCD Tower Module with RGB Interface | NXP    Design Resources Getting Started Guide Development Tools Thermostat Demo Software Firmware updated to v1.0 on 9/9/14      - DCIO Cloud agent now uses SSL from WolfSSL.  This improves WebSocket connections to cloud server through some protected networks. Firmware updated to v0.8 on 7/15/14      - Updated to support latest GT202 shield hardware from Qualcomm.  Rev 1.3 and newer boards changed pinout of CHIP_PWD signal. Firmware updated to v0.7 on 6/20/14      - Updated to use new SNTP server.  Previous server stopped responding and prevented cloud connection. Getting Started guide updated to v0.4 on 7/15/14

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 __________________________________________________________________________________________________________________  

Winners! NXP received a number of creative submissions over the course of the MRFX Design Challenge. We appreciate the enthusiasm from the community as designers were hard at work on their RF projects. Now is the moment everyone's been waiting for as NXP proclaims the MRFX Design Challenge winners. First Place Winner  Russell Kendrick | Bio + Full Project Description Project Video: MRFX1K80H 50 MHz Project Brief This amplifier is intended to be driven with a modern transceiver with 100 watts output on 50 MHz. To protect the MRFX1K80H from overdrive a series of RF pads are used to reduce the input to the proper level. The input matching is accomplished by using a 9:1 conventional RF transformer formed on an Amidon BN 61-202 core. An 82 nH inductance is in series with the high impedance winding of the transformer. This arrangement yielded an input match of 1.3:1 SWR over the entire 6-meter Amateur band when measured without the pads. Shunt gate resistance is used to prevent oscillation at low frequencies. This is the same approach used in the 27 MHz test circuit from NXP. Bias will be supplied by a DAC driven by the microcontroller that will manage the finished amplifier Second Place Winner        Floris Roosen | Bio                                                                         Project Video: Roosen Single-Ended Broadband (87-110 MHz) RF Design         Third Place Winner Mike Mysliwiec | Bio Project Video: 2xMRFX1K80H 1.8-54 MHz HF Amplifier   Overview  NXP is hosting an RF power amplifier design contest. Applicants will record a video of their power amplifier/demo using NXP’s new 65V LDMOS 1800 W RF Power transistor, MRFX1K80H The contest is open to students, professional engineers, companies or individuals Key Dates Contest kick-off: October 30, 2017 Submit a video (3-5 minutes in length) no later than Friday, January 26, 2018, by sending a link to any video website, such as YouTube, YouKu or others to rfindustrial@nxp.com Results will be announced on Monday, February 12, 2018 Prizes • 1st prize: $3,000 cash award + 15 MRFX1K80H samples. Showcase designer bio and video in an NXP blog • 2nd prize: $1,000 cash award + 10 MRFX1K80H samples • 3rd prize: $500 cash award + 10 MRFX1K80H samples The prize amounts are before tax All accepted videos will be posted on www.nxp.com/videos  Judging Criteria How to enter the competition Please click on the link below for the latest details and to access the MRFX Design Challenge page www.nxp.com/MRFXdesign 

Overview   Artificial intelligence, and machine learning specifically, is transforming industries from Consumer to Industrial. To date, many applications host AI/ML inferencing on conventional computers in the cloud or locally. Meanwhile, edge computing is enabling other computing workloads to move from conventional information technology (IT) to lower-cost systems close to where data is generated. Although many AI/ML workloads run fine on edge systems’ CPUs, others are more intense: either multiple AI/ML functions must run simultaneously or performance requirements (e.g., frame rates) are too great. The solution to gaining the combined benefits of AI/ML and edge computing is acceleration. At the 2020 Consumer Electronics Show, NXP demonstrated the LS1046A-FRWY platform simultaneously running two or more high-intensity AI/ML functions. These include face recognition, object detection (both general and safety gear), posture recognition, and gaze detection. The scenario demonstrated is factory safety. An operator within a safety zone is monitored for attentiveness, personal protective equipment, and access control. Helping to make this possible is external acceleration based on the Google Edge TPU. Interfacing to the Layerscape LS1046A processor via its copious PCI Express ports, two M.2 TPU cards slotted in the FRWY system offload AI/ML inferencing. Based on the Layerscape LS1046A processor with four powerful Arm Cortex-A72 CPU cores, the compact, cost-effective LS1046A-FRWY platform gives developers a leg up on implementing high-performance AI/ML applications at the edge.   Diagram     Products Product Name LS1046A Freeway Board | NXP  Related Community Documents Document Name NXP Helps Industrial System Developers Apply AI/ML to Their Designs  Five Easy Steps To Deploy Machine Learning On Layerscape 

See how the Wayv uses RF power transistors in a compact, small, and light-weight cooking appliance that gives the flexibility to heat food anytime and anywhere. The Wayv is a battery operated device with a heating chamber and a user interface for programming your cooking needs Demo / product features Battery operated using NXP’s high efficiency RF power solutions Rapidly heats food Safe and eco-friendly Features: Compact, portable, lightweight, and rugged Environmentally friendly solution No toxic fumes during cooking Wireless Design & Developmet (WDD) top pick for IMS 2016 http://www.wirelessdesignmag.com/videos/2016/06/top-5-ims-2016?platform=hootsuite _______________________________________________________________________________________________________ NXP Recommends http://www.nxp.com/Wayv MHT1008N RF Cooking Transistor Driver: http://www.nxp.com/products/rf/rf-power-transistors/rf-cooking/2450-mhz-12.5-w-cw-28-v-rf-ldmos-transistor-for-consumer-and-commercial-cooking:MHT1008N MHT1004N RF Cooking Transistor Final Stage Amplifier: http://www.nxp.com/products/rf/rf-power-transistors/rf-cooking/2450-mhz-300-w-cw-32-v-rf-ldmos-transistor-for-consumer-and-commercial-cooking:MHT1004N MKW40Z Kinetis MCU: http://www.nxp.com/products/microcontrollers-and-processors/arm-processors/kinetis-cortex-m-mcus/w-series-wireless-m0-plus-m4/kinetis-kw41z-2.4-ghz-dual-mode-ble-and-802.15.4-wireless-radio-microcontroller-mcu-based-on-arm-cortex-m0-plus-core:KW40Z MMA25312B InGaP HBT Linear Amplifier: http://www.nxp.com/products/rf/rf-amplifiers-low-medium-power/wideband-amplifiers/linear-amplifiers/2300-2700-mhz-26-db-31-dbm-ingap-hbt-linear-amplifier:MMA25312B RF Cooking|NXP _______________________________________________________________________________________________________ Other Links: http://www.wayvtech.com/ _______________________________________________________________________________________________________ News The Wayv Of The Future: Portable, Battery-Operated Microwave

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

Demo Owner: Eric Dudley   Wireless LAN access point on the demo. This demonstration shows the P1023 in a Wireless LAN application. The dual-core QorIQ Processor with DPAA performs full offload of access points using CAPWAP and DTLS.  This hardware offload permits you to implement wirespeed GbE AP to Controller connectivity while freeing all CPU cycles to execute value added applications.     Features The P1023 is specifically designed for offloading wireless LAN access points Lowest end product that has an offload engine called Data Path Acceleration Architecture (DPAA) The offload engine is taking Layer 2 tunneled and layer 3 encrypted packets that are going from the access point back to the controller and it's doing all that connectivity at wire rate without using the CPU For multi-radio devices that need CPU head room for radio management and other processing tasks   Featured NXP Products P1023 - NXP Links Wireless Access Points QorIQ - NXP Block Diagrams  

Demo Owner: Jeff Steinheider Femtocells are playing an increasingly large role in providing users with the indoor coverage and data rates expected from LTE. This demo shows how NXPP’s QorIQ Qonverge BSC9131 SoC, the BSC9131 reference design board, VortiQa Layer 1 baseband software and our partner’s software together provide scalable, multimode solutions from small to large cells.     Features Running on he QorIQ Qonvergence BSC9131 reference design board Turnkey solution with VortiQa, LTE, L1 baseboard software, integrated with open source WLAN, full system test with L2, L3 partners QorIQ Qonvergence SoCs provide scalable, multimode solutions from small to large cells   Featured NXP Products Product Link QorIQ® Qonverge BSC9131 RDB for Femtocell Base Station Development QorIQ® Qonverge BSC9131 RDB for Femtocell Base Station Development | NXP  QorIQ® Qonverge BSC9131 Single-core Processor and Single-core DSP QorIQ® Qonverge B9131 | NXP  Links QorIQ Qonverge Small Cell Base Station Reference Design Publishing Femtocell 4G-LTE with WiFi AP QorIQ BSC9131 Block Diagram  

Demo Features IoT Gateway based on phyCORE-i.MX7 phyBOARD-Zeta   NXP Recommends i.MX 7 Series Applications Processors: Multicore, ARM® Cortex®-A7 Core, ARM Cortex-M4 Core   Other Links system-on-module-i.mx7   C23D

Demo NXP boasts about power and prowess in the industry’s highest power density in LDMOS technology with a compact 750 W 1.3 x 2.55 inch reference circuit. See this demo for how our transistors deliver highest RF output power for automatic dependent surveillance – broadcast (ADS-B), identification friend-or-foe (IFF), and distance measuring equipment (DME) systems. Product AFV10700H|700 W Pulse, 1030-1090 MHz, 52 V|NXP (50V LDMOS, 750 W Peak, Gain 17dB, Efficiency 58%) Link www.nxp.com/RFPower

Direct Attached Storage demonstration based  on QorIQ LS1012A Communications Processor to exhibit Low-power & high data-rate. The demon is showcasing a USB3.0 to SATA3 bridge     Features: Exhibits very low power and high throughput It attaches to any host machine via USB and acts as a USB to SATA bridge. The entire data path and control path run without using DDR. Bare board code runs on XIP QSPI Flash; with data and heap on 128KB OCRAM. Platform used: LS1012ARDB   _______________________________________________________________________________________________________   Featured NXP Products: QorIQ LS1012A Low Power Communication Processor|NXP _______________________________________________________________________________________________________       N01

Demo NXP has a complete portfolio of RF low power devices. These include: Drivers and pre-drivers for RF designs Output RF devices for small cell solutions Low-noise amplifiers (LNAs) for transceiver applications     Demo / product features MMZ27333B 2 W BTS Driver Amplifier 1500 – 2700 MHz operation P1 dB  = 33 dBm Gain = 36 dB @ 2600 MHz LTE 10 MHz ACLR = - 48 dBc at 20 dBm 4 x 4 mm QFN Package MMG30271B 1/2 W BTS Pre-Driver GPA 300 – 4000 MHz operation P1dB = 27 dBm Gain = 17 dB at 2600 MHz ICC = 135 mA SOT89 Package MMG30301B 1 W BTS Pre-Driver GPA 900 – 4300 MHz operation P1 dB = 30 dBm Gain = 16 dB @ 2600 MHz ICC = 280 mA SOT89 Package NXP Recommends MMZ27333B MMG30271B MMG30301B  

Demo Owner: Pejman Kalkhoran Boundary Devices Pejman Kalkhoran describes the Nitrogen family at the 2014 FTF Americas 2014. Pejman demonstrates the Nitrogen 6_Lite featuring i.MX 6Solo, Nitrogen6X and Nitrogen6_MAX. These single board computers are great for software development and mass production.   Features Demo shown show 3 Single board computers based on i.MX6 processors: Nitrogen 6_Lite, Nitrogen6X and Nitrogen6_MAX Evaluate processor or develop their use Hardware and software development OS shown WinCE 7, Yocto Linux, Android 4.3 (Jelly Bean)   Links ARM® Cortex®-A9 Cores: i.MX 6 Series Multicore Processors Boundary devices  

Demo High Performance Enterprise Access Point OEM Reference Solutions for Layerscape and QorIQ families.  Demo showcases 802.11AC based Enterprise Access Points showing >2.2Gbps of WIFI with Dual 11AC WIFI cards with very low CPU to provide head room for additional applications to be run.  OEM  Alpha Networks & Embedded Planet Reference Solutions for T1023 and LS1043 Features Wireless Performance up to 2.5Gbps Maximum ARM A53 or Power PC application headroom Proven Wireless partners Quantenna, Celeno & QCA Support for new multi-user MIMO transmission to groups of clients NXP Recommends QorIQ T1024/14 and T1023/13 Dual- and Single-Core C QorIQ LS1043A and LS1023A Multicore Communications

Demo WaRP7 is an open source platform backed by the development community, design and manufacturing capabilities of element14. Features: CPU:  NXP i.MX 7Solo applications processor (Cortex TM -A7/Cortex TM –M4) Memory: 8GB eMMC 5.0 and 4Gb LPDDR3 Connectivity: WiFi, Bluetooth, BLE, USB-OTG, NFC Multimedia I/F: Camera, MIPI Display, Audio Sensors: Accelerometer, Barometer, Gyroscope Power: PMIC, Battery charger  BSP: Linux 3.14, Android 5.1 __________________________________________________________________________________________________________________ Featured NXP Products: i.MX7D: i.MX 7Dual Processors - Heterogeneous Processing with dual ARM® Cortex®-A7 cores and Cortex-M4 core Link WaRP7

Timing Attack demo The Timing Attack demo shows the importance of securely implementing a PIN verification. If a PIN verification is implemented with operations which are not time-invariant - for example an if-else construction - it is possible to identify when an incorrect PIN digit is being compared by observing the timing information of the corresponding EM side-channel measurement. By iterating through all possible values of a PIN digit the correct character will be identified in a maximum of 10 attempts.   To make the PIN query secure, a time-invariant comparison has to be implemented. For example, a bitwise XOR comparison and subsequent OR operation for all PIN digits, ensures the same time is taken for all possible comparisons. This scheme is illustrated in         the block diagram.                      Simple Power Analysis demo The RSA-Algorithm implemented in the Simple Power Analysis demo application is reduced to a simple 8-Bit implementation for illustrative purposes. The physical smart card interface used is contact-based.   By monitoring the voltage drop across a shunt resistor it is possible to measure the power consumption of an RSA operation on a digital oscilloscope. Observation of the resulting measurements reveal that it is possible to visually distinguish  single square operations from square and multiply operations. By iteratively logging this sequence of operations, the bits of the exponent, that is the secret key, can be directly identified.   By using countermeasures like the square and always multiply algorithm, the decoding of the exponent bits can be prevented and the key protected. The square and always multiply algorithm is illustrated in the block diagram.           Fault Attack demo The Fault Attack demo shows what can happen at software execution, if a flashlight is fired on a decapsulated chip which has no security measures.   With simple tools – a mechanical grinding tool and some chemical etchant - it is possible to expose the surface of the chip and crudely inject photons into the sensitive silicon substrate.   In this case the flashlight causes a skip in the execution of the PIN verification code if the flash is discharged close to the surface at the correct moment.   In normal function expiration the UserPin is either correct or incorrect and access to the data is granted or denied accordingly. With a successful flashlight attack it doesn’t matter which value for UserPin is entered - after several tries the attacker skips the query and has access to the secret data.                     RFID Relay Attack demo TheRFID Relay Attack demo demonstrates a new paradigm in relay attacks in the context of software emulated smartcards on mobile devices. Previous conditions about proximity of the attacker to the victim and the time when the victim is approached, are negated. With a software emulated smartcard on a mobile device an attacker can intercept and relay the transaction of a potential victim remotely. This new attack paradigm greatly enhances the value of this attack for criminals, and consequently will result in greater malware development efforts.   Additional Information on the individual attacks:     C03

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 demonstration provides an overview of developing with the various components of the LPCXpresso Ecosystem, showing the main features of the LPCXpresso IDE tools, from project import/creation to multi-core debug, trace and power measurement. A variety of LPCXpresso development boards with their built in LPC-Link2 debug probes will be shown off in conjunction with the LPCXpresso IDE.  The LPCOpen peripheral drivers and examples will be used, demonstrating features of several of NXP's low power and flexible LPC MCU families     For more information : LPCXpresso IDE http://www.nxp.com/pages/:LPCXPRESSO LPCXpresso Boards http://www.nxp.com/pages/:LPCXPRESSO-BOARDS http://www.nxp.com/pages/:LPCXPRESSO-BOARDS  LPC Low Power 32-bit Microcontrollers http://www.nxp.com/pages/:LPC-ARM-CORTEX-M-MCUS     Video Link