Xtrinsic Smart Sensor, ISF, Sensor Fusion and Sensor Hub

Transcription

1 Xtrinsic Smart Sensor, ISF, Sensor Fusion and Sensor Hub FTF-SDS-F0591 Johnson Sun Application Manager MAY.2014 TM External Use

2 Agenda Introduction and Session Overview What Makes Smart Xtrinsic Smart Sensor Common Sensors Smart Sensor with Embedded MCU MMA955x and FXLC95000 Intelligent Sensing Framework(ISF) Sensor Fusion Sensor Hub Session Review and Wrap-up External Use 1

3 Freescale Consumer and Industry Sensor Mobile& Entertainment Medical & Health Appliance Industry Automation Accelerometer Magnetometer Gyroscope Pressure/Altimetry Touch/Proximity Sensor Fusion Smart sensing Platform From Simple Function to Complex Smart Sensing External Use 2

4 Automotive Sensors at Freescale Powertrain Airbag TPMS Stability Control ADAS/ Radar Manifold pressure Central ECU sensor Fully integrated solution Low-g accelerometer Long Range Radar (77 GHz) Barometric pressure Satellite Sensors Supporting DSI and PSI5 Pressure, Inertial, RF/LF, MCU with flash Developing angular rate and combos (gyro + low-g) Short Range Radar (79 GHz) From Passive to Active Safety External Use 3

5 Internet of Things Different Services, Different Technologies Different Meanings for Everyone And the Word SMART Is Everywhere! Software Smart Homes Smart Parking Smart Grid BLDG Automation Air Quality Control Smart Energy Auto Safety Smart Lighting Supply Chain Automation M2M MANY OTHER SERVICES Smart Cars Remote Appliance Avoidance Pedestrian Navigation Smart Tags Smart Health Technology Innovations Miniaturization & advances in packaging technologies Advances in flash New class of powerful but low-cost & low-power MCUs Cloud-based services Applications Sensing Accelerometer Magnetometer Gyroscope Pressure Altimeter Temperature etc. Embedded Processing MCU MPU Hybrid MCU/MPU Network Processor Connectivity NFC 6LoWPAN Sub-Gig ZigBee GPS BT/BTLE Wi-Fi RFID Cellular Technology External Use 4

6 Smart Sensing Applications Navigation Location-based Services New User Interface Gaming Healthcare/Monitoring Automotive External Use 5

7 Freescale Xtrinsic Sensing Intelligence + Sensor Integration = Xtrinsic Sensing Solutions Increasing levels of intelligence Decision making Software enablement Programmability Applications Third-party software Increasing levels of integration Sensor fusion Non-volatile storage Connectivity Power management Logic Actuation External Use 6

8 Xtrinsic Smart Sensor External Use 7

9 Common Motion Sensors Sensing Cell ASIC Sensing Cell MEMS sensing elements translate physical stimulates into electrical signals. ASIC (analog and digital) Analog Front End provides signal mux, C2V and Filtering, then signals are sampled by ADC. The ADC samples are further processed by digital filtering, simple comparison and event triggering. Pro: low cost, low power consumption Con: very limited functions, can not be customized for specific complex application. MMA8653 internal blocks External Use 8

10 Smart Sensors 3 Axis Accelerometer 3 Axis Accelerometer 3 Axis Accelerometer CPU/DSP Software Memory Flash/RAM/ROM Connectivity I2C/SPI/UART/RF Support Function Pwr/Clock/GPIO Smart Sensor internal blocks Pro: Customizable algorithm and control. Flexibility for complex application. Con: Software support Higher complexity Higher cost Package size But from system integration point of view, smart sensor resolved above problems, the only left is programming needed External Use 9

11 MMA955xL At-a-Glance Host Application Processor MMA955xL Sensor ColdFire V1 32bit processor Pwr Management Sensing Software Customer / Third-Party Innovation Applications 3 axis Accel Connectivity I2c/SPI Software Libraries Basic OS Drivers Gyro Pressure Touch Magnetics External Use 10 external sensors

12 Xtrinsic MMA955xL 3-Axis Accelerometer plus 32-bit ColdFire MCU Differentiating Points Intelligent Motion Platform with embedded libraries Sensor hub capability Power management features and low power modes Product Features 1.71 to1.89v supply voltage Output data rate (ODR) 488 Hz +/-2g, 4g, 8g configurable dynamic ranges available 14/12/10/8 bit resolution available 16K Flash, 2K RAM Variations MMA9550L Infrastructure only functions User Flash: 6.5 Kbytes User RAM: 576 bytes MMA9551L Infrastructure plus gestures User Flash: 4.5 Kbytes User RAM: 452 bytes MMA9553L Infrastructure plus pedometer User Flash: 1.5 Kbytes User RAM: 200 bytes MMA9559L Lightweight Infrastructure User Flash: 14 Kbytes User RAM: 1.5 bytes Typical Applications Mobile: Phones, Tablets, ereaders Controllers: Remotes, Games Sports Monitoring Package 3x3x1mm LGA, 0.5mm pitch Availability MP: NOW Production: January 2013 External Use 11

13 MMA955xL Intelligent Sensing Family Products Major SW Releases Production Release Key Elements MMA9550L (Base) MMA9551L (Base + Gestures) MMA9553L (Base + Pedometer) MMA9559L (High Flexibility) Q Q Q Q Infrastructure only functions Infrastructure + Gestures Infrastructure + Pedometer Foundation Firmware User Flash 6.5 KBytes 4.5 KBytes 1.5 KBytes* 14 Kbytes User RAM 576 Bytes 452 Bytes 200 Bytes* 1.5 KBytes Firmware Flash Firmware RAM 9.5 KBytes 11.5 KBytes 14.5 KBytes* 2 Kbytes 1.5 KBytes 1.5 KBytes 1.8 KBytes* 0.5 KBytes * All values are approximate projections based on current information External Use 12

14 MMA9553 Smart Pedometer Key Features Single package(3mmx3mm) with 32bit MCU+3 axis accelerometer Commercial grade high accuracy pedometer under all run/walk mode(up to 99%) Provide activity level, step counts, distance, speed, calories output Replacement of standard 3 axis accelerometer sensor. High performance commercial pedometer drop in use External Use 13

15 Xtrinsic FXLC95000CL 32-bit MCU Sensor Fusion Hub with Accelerometer 3-axis accelerometer plus ColdFire MCU that enables scalable, autonomous, high precision multi sensor hub solutions with local compute and sensors management in an open architecture Differentiating Points System in Package: 32-bit MCU and 3-axis accelerometer Open MCU architecture enables differentiated creativity First open programming model with library support (Intelligent Sensing Framework) Compute and actuate locally Best in class accelerometer noise and resolution performance When to choose FXLC95000CL Sensor hub managing multiple sensors: Freescale and others Pass through data as needed i.e., ColdFire V1 with ARM heading Core embedded Cortex M0+ accelerometer Perform 6-axis fusion Sensor Hub Magnetometer/accelerometer calibration/ecompass 9-Axis Fusion Sensor Fusion 6-axis ecompass Cal Gyro/accelerometer 3 sensors+ When to choose Kinetis MCUs Euler Angles Sensor fusion for 3+ sensors > M0+ Quarterions Sensor fusion and much more > M4 Specification FXLC95000CL KL25 K20 Rotation Matrices Available if required (see your FAE for help) ARM Cortex M4 9-Axis Fusion Multiple sensors + other computations ISF Supported * * External Use 14

16 What would you want to run on the FXLC95000? Maybe some stuff you currently run on the Host Processor Sensor management Sensor fusion Stuff for which using the Host Processor is overkill or too expensive Event recognition (e.g. Sleep/Wake) Power apps processor running sensor fusion Power savings sensor hub running sensor fusion CPU Loading External Use 15

17 Xtrinsic FXLC95000CL 32b MCU Sensor Fusion Hub Development Tools and Documentation KITFXLC95000EVM Intelligent Motion-Sensing Platform Development Board Hardware: Includes KITFXLC95000EVM Motion-Sensing Platform Development Board Includes FXLC95000 evaluation module Includes Quick Start Guide Available at: More information at FXLC95000 Evaluation Module KITFXLC95000EVM Motion-Sensing Platform Development Board MAG3110 and 10-Axis Daughter cards Software Xtrinsic Intelligent Sensing Framework: MQXTM: CodeWarrior: TM Product: FXLC95000/MAG3110 Evaluation Module Beyond Silicon Training and Support FXLC95000CL Datasheet FXLC95000CL Reference Manual FXLC95000CL ISF Software Reference Manual ISF Development Training Modules External Use 16

18 Xtrinsic Intelligent Sensing Framework(ISF) External Use 17

19 Intelligent Sensing Framework (ISF) Questions What is it? It is an easy to use software framework and platform addresses sensor integration needs What does it do? Enables the FXLC95000/Kinetis MCU with communication services, device management, sensor management, and application support services for the sensors in the system Why do I need it? Eliminates intensive sensor integration effort. Focus on your application and let ISF and FXCL95000/Kinetis MCU manage the sensor data What do I need to get started? For all the tools, documentation and download of the Xtrinsic Intelligent Sensing Framework go to External Use 18

20 Anatomy of a Typical Embedded Sensor Application Things an Embedded Sensor Application has to know how to do: Send/Receive I2C messages Register map/configuration for each particular sensor Schedule periodic processing Control the power modes Handle Interrupt Vector Table Configure board peripherals Compute useful outputs (Application Code) Send and receive host messages (USB, UART) Understand the host application-level protocol Stack pointer management/context switching Implement concurrency mechanisms (mutex, semaphore, etc.) Perform Boot-up board initialization External Use 19

21 But What is at the Heart of an Embedded App? Things it has to know how to do: Send/Receive I2C messages Register map/configuration for each particular sensor Schedule periodic processing Control the power modes Handle Interrupt Vector Table Configure board peripherals Compute useful outputs (Application Code) Send and receive host messages (USB, UART) Understand the host application-level protocol Stack pointer management/context switching Implement concurrency mechanisms (mutex, semaphore, etc.) Perform Boot-up board initialization The rest is just stuff you have to do to get it all to work External Use 20

22 You Only Want to Write this Stuff Once One Approach: Compute useful outputs (Application Code) Send/Receive I2C messages Register map/configuration for each particular sensor Schedule periodic processing Control the power modes Handle Interrupt Vector Table Configure board peripherals Send and receive host messages (USB, UART) Understand the host application-level protocol Stack pointer management/context switching Implement concurrency mechanisms (mutex, semaphore, etc.) Perform Boot-up board initialization External Use 21

23 ISF High-Level Design Goals Faster time to market Allow application developers to focus on their real areas of expertise We want developers to get the highest bang-for-the-buck How? Abstracting the details that developers do not want to address Do this for work at all levels up and down the stack External Use 22

24 ISF is Designed to Make Your Life Easier What does it do for you? Functionality Send/Receive I2C messages Register map/configuration for each particular sensor Schedule Periodic Processing Control the power modes Handle Interrupt Vector Table Configure board peripherals Compute useful outputs (Application Code) Send and receive host messages (USB, UART) Understand the host application-level protocol Stack pointer management/context switching Implement concurrency mechanisms (mutex, semaphore, etc) Send external interrupts to host Perform Boot-up board initialization ISF Component I2C protocol Adapter Sensor Adapters Bus Manager Power Management System Utilities Device Control This is the only thing you do want to write Command Interpreter Host Proxy Task Scheduler Synchronization Host Interrupt Control Powerup/Boot External Use 23

25 The ISF Architecture Brick External Use 24

26 ISF is Composable Use Only What You Need Component Sensor App1 Sensor App2 Sensor App3 Sensor App4 I2C protocol Adapter Sensor Adapters Sensor Manager Bus Manager Power Management System Utilities Device Control Command Interpreter Host Proxy Task Scheduler (MQX TM ) Synchronization (MQX TM ) Host Interrupt Control Powerup/Boot External Use 25

27 Xtrinsic Intelligent Sensing Framework (ISF) Main Host Interface Flow Main Sensor Data Flow External Use 26

28 ISF Overall Development Flow Pick a Project Template/Example to start from Example Embedded App projects Sensor Adapter template project Training Module Projects Modify ISF Configuration as necessary Add/Remove sensors Add/Remove ISF Components Update Project Properties to match Include Paths, Link Libraries Add your own embedded app logic Compile/Execute External Use 27

29 A Typical ISF User Application Structure Includes, Defines, and Prototypes Main_task Initialization code Sensor subscription code Set sensor settings Call Subscribe Begin Sensor Data Main Loop Wait for sensor data Retrieve sensor data Use sensor data Shutdown/Cleanup code ISF provides some Template/Example projects to get you going The first is the GetAccelData Project used in the Training Modules Part of Template Included by example in Template Placeholder in Template External Use 28

30 Xtrinsic Sensor Fusion External Use 29

31 What is Sensor Fusion? Sensor fusion encompasses a variety of techniques which can: Trade off strengths and weaknesses of the various sensors to compute something more than can be calculated using the individual components; Improve the quality and noise level of computed results by taking advantage of: Known data redundancies between sensors Knowledge of system transfer functions, dynamics and/or kinematics External Use 30

32 Sensors are more pervasive than you might think Just check your pocket LVDS (2D-3-D Converter) Display Altimeter Barometer Accel Sensor Magnetic Sensor Light Sensor Sensing Hub Headset Speakers Microphone Audio Codec RAM Flash i.mx Processor BT WiFi 3G Front Camera GPS Back Camera Gyroscope Touch Buttons Humidity Sensor Proximity Sensor Analog Parts PMIC Zigbee RF4CE Li-Ion Battery SD USB HDMI MCU Watt Saver AC Adapter MCU MCU Wireless Charging/Docking Station External Use 31

33 Some Sensors are Physical, Some are Virtual Sensor Type Caveat Physical / Virtual Accelerometer With gravity Physical Linear Acceleration Without gravity Virtual Gravity Virtual Magnetic Field Uncalibrated Physical Magnetic Field Calibrated Virtual Gyroscope Uncalibrated Physical Gyroscope Calibrated Virtual Orientation Rotation Matrix Virtual Orientation Ambient Temperature Light Pressure Proximity Relative Humidity Azimuth, pitch, roll and rotation matrix Items in red are not supported by Freescale sensors. Virtual Physical Physical Physical Physical Physical External Use 32

34 Some Sensors are Physical, Some are Virtual Sensor Type Caveat Physical / Virtual Rotation Vector 9-axis Virtual Game Rotation Vector Accel/gyro only Virtual Geomagnetic Rotation Vector Significant Motion Step Detector Step Counter Accel/mag only Virtual Virtual Virtual Virtual The list above summarizes sensors & sensor fusion components that might be expected components for modern operating systems. All but the last 4 listed are supported by Android 4.3. KitKat offers support for the last four. Other OS s continue to evolve in a similar fashion. The possible list of sensors and types of sensor fusion is virtually unlimited. External Use 33

35 Narrow Down Sensor Fusion Topics Because Sensor Fusion is an extremely broad topic, this course focuses on some specific examples: Magnetic calibration Electronic compass Virtual gyro Compute orientation Compute linear acceleration sans gravity Sensors used include: Accelerometer + Magnetometer + Gyro For today s session, we are ignoring: vibration analysis, gesture detection, contextual awareness, navigation / location, auto crash detection, auto stability control, etc. External Use 34

36 Sensor Strengths & Weaknesses Sensor Strengths Weaknesses Accelerometer Magnetometer Gyro Pressure Sensor Inexpensive Extremely low power Very linear Very low noise The only sensor that can orient itself with regard to North Insensitive to linear acceleration Relatively independent of linear acceleration Can be used to gyro-compensate the magnetometer The only stand-alone sensor that can give an indication of altitude Measures the sum of gravity and acceleration. We need them separate. Subject to magnetic interference Not spatially constant Power hog Long startup time Zero rate offset drifts over time Not well understood A relative measurement Subject to many interferences and environmental factors External Use 35

37 Typical Minimum Sensor Complements / Application Application Acc Mag Gyro Pressure Portrait/landscape, tap detect, fall detection Pedometry, vibration analysis, tiltmeter ecompass, pointing/remote control, augmented/virtual reality X X X X Virtual gyro X X Gyro-compensated ecompass X X X Activity monitors X X X X Motion capture X X X 3D mapping & localization X X X X Image stabilization, gesture recognition X X External Use 36

38 Movement Decomposition Any movement from point A to point B can be decomposed into a translation plus optional rotation Ψ X Y We need at least 6 degrees of freedom (DOF) to describe a movement in 3 dimensions: X, Y, Z, Φ, θ, Ψ External Use 37

39 There are multiple representations for rotation Options are: Euler Angles intuitive (roll, pitch & yaw), but subject to gimbal lock Rotation Matrices rotation as a matrix multiplication Axis / Angle easy to understand, difficult to use Quaternions similar to axis/angle, with a theoretical background that makes them useful Freescale sensor fusion libraries support all forms axis/angle Euler Angle Illustration source: External Use 38

40 Sensor Fusion Data Flow for Consumer Devices Configure, Power State, Data Control Sensor Hub Functions Pressure 3-Axis Acc FoR mapping Trim Trim hi/low/band pass filtering hi/low/band pass filtering Shake detection Pressure shake event Acc x,y,z 3-Axis Gyro FoR mapping Trim hi/low/band pass filtering ω x,y,z 3-Axis Mag FoR mapping Trim & Hard/Soft compensation hi/low/band pass filtering B x,y,z FoR = Frame of Reference Mapping Raw data calibration parameters Calculate hard/soft iron parameters Kalman Filter or similar function Geometric computations Rotation matrix Quaternion Tilt-compensated mag heading Inclination (φ, Θ, Ψ) Sensor Fusion External Use 39

41 The Xtrinsic Sensor Fusion Toolbox Provides visualization functions for the fusion library Allows you to experiment with different sensor/algorithm choices Gives you access to raw sensor data Allows you to log sensor and fusion data for later use Works with demo and development versions of the Xtrinsic Sensor Fusion Library Platforms Android Windows PC External Use 40

42 The Xtrinsic Sensor Fusion Toolbox Accel Gyro Mag = Kinetis MCU Embedded board running the Xtrinsic Sensor Fusion Library for Kinetis Bluetooth Module Sensor output data is fused using Freescale-developed code running on Kinetis, and then beamed to a PC or Android device, where it drives the GUI Android phone/tablet running the Xtrinsic Sensor Fusion Toolbox External Use 41

43 The GUI for Our Demo is Android-based requires Android 3.0 or higher We also have a PC-variant which can be found at External Use 42

44 Sensor Fusion Data Flow Diagram gyro reading accelerometer reading X, Y & Z compensated mag reading Gyro Accelerometer Magnetometer Frame of Reference Mapping hard/soft iron calibration Fusion Algorithm orientation & corrected angular rates Data Sink This system computes: Orientation rotation matrix quaternion Euler angles (roll, pitch, yaw) linear acceleration magnetic interference gyro offset compute hard/soft iron compensation coefficients Fusion algorithm choices: 1. 3-axis roll/pitch (accelerometer only) 2. 3-axis gyro only 3. 2D (auto) magnetometer only 4. 6-axis ecompass (accel + mag) 5. 6-axis Indirect Kalman filter (accel + gyro ) 6. 9-axis Indirect Kalman filter (all 3 sensor types) External Use 43

45 Freescale Xtrinsic Sensor Fusion Library for Kinetis MCUs Optimized for the computation of orientation with respect to a global frame of reference as a function of sensor readings from: accelerometer and/or gyroscope and/or magnetometer Along with orientation, also computes: linear acceleration magnetic interference and correction factors for same gyroscope zero-rate offset compass heading virtual gyro from accelerometer / magnetometer External Use 44

46 Freescale Xtrinsic Sensor Fusion Library for Kinetis MCUs Supplied under development license from Freescale Implemented as pure C-code sitting on top of device driver and MQX-lite implementations created via Processor Expert Shipped in the form of CodeWarrior projects compatible with the Xtrinsic Sensor Fusion Toolbox Shipped with precompiled libfusion.a (containing the fusion routines) and C source code Evaluation licenses are node-locked to specific boards Production licenses are locked to the use of specific Kinetis-brand MCUs External Use 45

47 Two Versions of the Kit Demo (s-record/binary) Supports OpenSDA drag and drop installation for the FRDM-FXS-MULTI-B coupled with one of FRDM_KL25Z, FRDM_KL26Z or FRDM_K20D50M. Product Development Prebuilt CodeWarrior project with full access to Processor Expert customization and linkable libraries for sensor fusion and magnetic calibration. There are two license options for this kit: Node-locked (1 board only) evaluation license Free Generated automatically by the product installer Production Not Free (Contact Freescale for pricing) Binaries are enabled for a specific Kinetis MCU-type External Use 46

48 Xtrinsic Sensor Expansion Boards Kinetis KL25Z and K20D50M compatible Xtrinsic Sensor Expansion Boards FRDM FXS KL25Z or KL26Z or K20D50M Part Number Description Pricing Availability Xtrinsic Sensor Expansion board $50 Now MPL3115A2 MMA8652 FXAS21000 FXOS8700 FXLS8471 MMA955x MAG3110 Xtrinsic Sensor Expansion board with Bluetooth and $125 Now Battery MPL3115A2 MMA8652 FXAS21000 FXOS8700 FXLS8471 MMA955x MAG3110 FRDM-FXS-MULTI* FRDM-FXS-MULTI-B* FRDM-FXS-9AXIS* Xtrinsic Sensor Expansion board with only 2 sensors FXAS21000 FXOS8700 $30 Now External Use 47

49 Ordering Details Component Price Location Sensor Fusion Library for Kinetis MCUs - Demo Version Sensor Fusion Library for Kinetis MCUs - Development Version Free Free Node Locked-License Contact Freescale for Production Pricing p?code=frdm-fxs-multi- B&fpsp=1&tab=Design_Tools_Tab (the same installer works for both) Freescale Freedom Development Platform (KL25Z and K20D50M recommended) KL25Z = $12.95 K20D50M = $ Freescale Freedom Development Platform for Multiple Xtrinsic Sensors $30 $50 $ Xtrinsic Sensor Fusion Toolboxes For Android and PC Free Xtrinsic Sensors Various External Use 48

50 Features vs. Sensor Set Feature Accel only Accel + gyro Accel + mag Accel + mag + gyro Filter Type Butterworth Indirect Kalman Butterworth 1 Indirect Kalman Roll / Pitch / Tilt in degrees Yes Yes Yes Yes Yaw in degrees No No Yes Yes Angular Rate 2 in degrees/second virtual 2 axis 3 Yes virtual 3 axis Yes Compass heading (magnetic north) in degrees No No Yes Yes Quaternion and rotation vector Yes Yes Yes Yes Rotation matrix Yes Yes Yes Yes Linear acceleration separate from gravity No Yes No Yes NED (North-East-Down Frame of Reference Yes 4 Yes 4 Yes Yes ENU (Windows 8 variant) Frame of Reference Yes 4 Yes 4 Yes Yes ENU (Android variant) Frame of Reference Yes 4 Yes 4 Yes Yes Magnetic calibration included No No Yes Yes Gyro offset calibration included N/A Yes N/A Yes FRDM-KL25Z board support Yes Yes Yes Yes FRDM-KL26Z board support Yes Yes Yes Yes FRDM-K20D50M board support Yes Yes Yes Yes 1. The library includes an indirect Kalman implementation, but the low pass implementation works as well, with less overhead, and is the recommended solution 2. Angular rate for configurations with a gyro include corrections for gyro offset 3. Subject to well-known limitation of being blind to rotation about axes aligned with gravity 4. These solutions do not include a magnetometer, therefore there is no sense of compass heading External Use 49

51 Feature vs. Kit Option Feature Demo Version Development Version License CPU selection Board customizable Free click-through KL25Z128VLK4 KL26Z128VLH4 K20DX128VLH5 No FRDM_KL25Z, FRDM_KL26Z & FRDM_K20D50M only Free node-locked license tied to specific Freedom board Contact Freescale for Production Pricing KL25Z128VLK4 KL26Z128VLH4 K20DX128VLH5 others upon request Yes 1 Sensor sample rate Fixed Programmable Fusion rate Fixed Programmable Frame of Reference Android Programmable Algorithms Executing All 4 in Table on previous slide Programmable Sleep mode enabled between samples/calculations No Programmable RTOS MQX-Lite MQX-Lite Code flexibility NONE Executable only Kalman and Magnetic Calibration functions are precompiled. Everything else is supplied in source form, and can be modified. Access to Processor Expert No Yes Product Deliverables Both versions are supplied via a common installer which provides: * Datasheet & user guide * Template CodeWarrior projects (development version only) * Pre-compiled s-record files [1] FRDM_KL25Z, KL26Z and FRDM_K20D50M are supported out of the box and may be used as templates for other boards.. External Use 50

52 Session Review and Wrap-up External Use 51

53 Freescale Sensor Timeline Provide intelligent sensor solutions that expand contextual and environmental information to advance the human experience External Use 52

54 Freescale Product Programs SafeAssure TM Functional Safety Program Functional Safety Simplified The Freescale SafeAssure functional safety program is designed to help simplify the process of achieving system compliance with functional safety standards in the automotive and industrial markets Energy-Efficient Solutions Program Energy Efficient by Design The Energy-Efficient Solutions mark highlights selected products that excel in effective implementation of energy-efficient technologies Product Longevity Program Supply Assurance For the automotive and medical segments, a broad range of products are made available for a minimum period of 15 years and 10 years for other market segments. External Use 53

55 For Further Information on Freescale Sensing Solutions CIA & Freescale Ready 6-Pack Training Documents Fact Sheets & other Technical Blogs: Smart Mobile Devices Xtrinsic Related Blogs What in the World is Contextual Sensing? Evolving intelligence with sensors Magnetic sensor makes electronic compass design easy Sensor Videos on YouTube: External Use 54

56 Designing with Freescale Tailored live, hands-on training in a city near you 2014 seminar topics include QorIQ product family update Kinetis K, L, E, V series MCU product training freescale.com/dwf External Use 55

57 Freescale Semiconductor, Inc. External Use