TM

September 2013

2 TM

>50 Year Legacy

>5,500 Engineers

>6,100 Patent Families

A Global Leader in

Microcontrollers

Digital Networking

Automotive MCU

Analog & Sensors

RF

Five Core Product

Groups

Four Primary

Markets

Automotive

Networking

Industrial

Consumer

3 TM

Building Automation Smart City Smart Lighting

Smart Grid Smart Health Industrial Automation

4 TM

5 TM

Pervasive Remote

Monitoring and/or

Control

Remote tracking, monitoring and, if

needed, command and control of

tasks/processes that today are done

manually or, if done remotely, require

additional infrastructure

Automatic Real-time

Resource Allocation

and Optimization

Accessing information and reacting to it to optimize the allocation of resources

Context-aware

Automation and

Decision Optimization

Monitoring unknown factors

(environmental, etc.) and having

machines make decisions that are

as “human-like” as possible … only

better!

Remote Process

Control and

Optimization

Using sensors (with or without

actuation capabilities) for

monitoring and to provide data for

remote control of a process

1

6 TM

The Internet of Things (IoT) is about Machine to Entity (M2E):

• Machine to Machine:

− Automatic diagnostics for cars: Automatic information collection

from your car’s engine management system and sending real-time

alerts to drivers or service centers

• Machine to Infrastructure:

− Automatic bridge monitoring: Sensing and monitoring

the structural integrity of a bridge in case of flooding

• Machine to Human:

− Automatic health monitoring for people: Implant

monitoring services or disease management

via implantable electronics

• Machine to Nature/Environment:

− Early detection of earthquakes: Distributed sensors

to detect early tremors in specific places

Machine to

Machine (M2M) refers to technologies that

allow both wireless and wired

systems to communicate

with other devices of the

same ability

7 TM

INTERNET OF THINGS Different Services,

Different Technologies Different Meanings for Everyone

Miniaturization & advances in packaging technologies

Advances in flash

New class of powerful but low-cost & low-power MCUs

Cloud-based services

And the Word

“SMART” Is Everywhere!

8 TM

Remote Command and Control Data Mining

1 2

9 TM

LAN

PAN/BAN WAN

NAN Wired

WAN Wireless

WAN

Power

HVAC

CLOUD Monitor Anywhere

Home Hub

SMART HOME &

SMART HEALTH

• Human being’s vital statistics monitored via edge nodes communicating through body area network s(BAN) and personal

area network s(PAN)

• Many other “things” in the smart home using local area network (LAN)

• All communicate with a home hub / gateway, which, in turn, communicates to the cloud via wide area networks (WAN)

1

10 TM

PAN/BAN

e.g. Human Being Vital

Statistics Being Monitored

The Cloud

LAN

Wired WAN

HVAC

Wireless

WAN

WAN

Monitor Anywhere

Home Hub

NAN

Power

11 TM

BAN/PAN/ &

Wired/Wireless,

Power Line

LAN

Hierarchical Layers

of Aggregation /

Hubs / Gateways

Wired/Wireless,

Power Line

WAN

Remote

Cloud-based

Processing

Edge Product

C P C

C

P S C Sensors & Actuators Layers of Embedded Processing Connectivity: BAN/PAN/LAN/WAN

S

S

P

P

C

C

P C C P

Medtronic's glucose monitor uses

Bluetooth to "talk" to Ford Sync

Application/Action

Insights/Big Data

User-driven actions via

devices with screens

or automatically driven

actions based on data

parameters

Data analytics for

business intelligence

Hierarchical

Gateways

12 TM

• Big data is the aggregated data from lots of little data

• Without context, any anomaly in little data can cause big data

to overreact

− e.g. Ordering toys online for a one-time event and getting bombarded with toy

ads … because you did it once

BIG DATA Cloud Processing

2

13 TM

Navigation Location-based Services New User Interface

Gaming Healthcare/Monitoring Automotive

14 TM

Sensory information (vision, hearing, smell, taste and touch) is

gathered from one’s surroundings and travels through the peripheral

nervous system to the brain for processing and response

“The Whole Is Greater Than the Sum of Its Parts”

Brain

(CPU)

Sensory

Input

15 TM

16 TM

• Individual sensors have inherent

limitations and/or errors that can be

corrected or compensated for by

complementary sensing nodes:

− Accelerometer: x, y & z linear motion sensing

- sensitive to vibrations

− Gyroscope: pitch, roll & yaw rotational

sensing - zero bias drift

− Magnetometer: x, y & z axis magnetic field

sensing - sensitive to magnetic interference

• Fused sensor information is more

accurate and reliable than individual

sensor data:

− e.g. Gyros suffer from offset drifts over time. A

companion accelerometer’s data

compensates

for the offset drift

17 TM

• There are as many types of edge node as there are applications, however all could/would include:

− An MCU

− Sensors and actuators

− Integrated modem chip (connectivity)

− Energy source

• For the initial rollout, these nodes need to be:

− Very small

− Low cost

− Low power

− Low complexity

− Industrial grade and robust

In the near future, think of edge nodes similar to the spider robot

(tiny spider-sized robots that are able to search buildings and identify occupants)

18 TM

• Energy efficiency: First and foremost, the MCU needs to be energy-efficient. In many cases, the sensing nodes are battery-operated satellite nodes, so a low-power spec is a basic requirement.

• Embedded architecture with a rich software ecosystem: The wide variety of potential IoT applications needs a software development environment that ties together the applications, the command, control and routing processing and the security of the node and system. An open platform with a broad ecosystem, and easily accessible support is key to enabling the development of embedded processing nodes for IoT applications.

• Portfolio breadth that enables software scalability: The ability to reuse software and leverage existing software investment is a key success factor for companies developing IoT applications. Software reuse enables the rapid rollout of multi-layered architectures (in which the embedded processor is tasked with different layers and levels of tracking, command, control and routing functions).

• Portfolio breadth that cost-effectively enables different levels of performance and a robust mix of I/O interfaces: The diversity of things to be controlled in the IoT, along with the different use cases, the number of things in a micro-network, different levels of service required and different interfaces in a heterogeneous environment will lead to the need for different tiers of devices, with diverse I/Os required for the various applications.

A “one size fits all” approach will not be cost- or performance-optimized

enough to satisfy the needs of this market

19 TM

• Cost-effectiveness: As with any other market, mass adoption will not take place until a certain price point for the solutions is reached. The overall system cost must be affordable for the paradigm shift to take hold in everyday life, so product cost is a very relevant factor.

• Quality and reliability: Unlike your mobile phone, laptop or other electronic device that you may change every two years, product life cycles in the industrial market are at least 10-15 years. When you add the automotive market to the mix, more stringent reliability requirements and harsh environmental conditions must be supported. Hence, quality, reliability and longevity requirements for these markets are keys to the success of the IoT paradigm shift.

• Security: For the local embedded processing node at the physical layer, there are a variety of cryptographic engines and security accelerators to support data encryption (e.g. DES, AES, etc.) and authentication (e.g. SHA, etc.). Additional layers of security software, as well as best practices related to boot-up routines, are among the variety of security approaches available.

• Note that robust security means additional memory requirements, HW resources, processing requirements, and power consumptions, which goes against the requirement for the lowest cost possible, hence new innovations are needed here.

• Open Platform: An open platform is needed to bring a variety of ecosystem partners together and promote innovations, and develop customized services based on local cultures. ARM is a great example of such platform.

20 TM

Example

The World’s Smallest

ARM Powered MCU Kinetis L Series KL02, 20WLCSP

Size Efficient Ultra-small 1.9mm x 2.0mm wafer-level chip-scale package drastically

reduces board space while retaining rich MCU feature integration. 25%

less PCB area and 60% more GPIO than nearest competing MCU

Energy Efficient Class-leading ARM Cortex™-M0+ core, 90 nm low-power system

architecture, multiple, flexible power modes and autonomous, power-

smart peripherals

Feature Efficient 32-bit performance with class-leading code density, integrated flash

memory, precision analog, connectivity and timers. High-value

Freescale enablement bundle (IDE & RTOS)

21 TM

Wireless

Out-vehicle

Wireless

In-vehicle

Consumer

Device Interface

Wireless

Sensor Network

Cooperative

Systems

Security needs to be aware.

22 TM

Edge products: • Very small

• Low cost

• Low power

• Low complexity

• Industrial grade &

robust

Kinetis

Microcontrollers Design Potential. Realized.

Vybrid Controller

Solutions Rich Apps in Real Time.

i.MX Applications

Processors Your Interface to the World.

Real-time, highly integrated

solutions with best-in-class

2D graphics to enable

your system to control,

interface, connect, secure

and scale.

Industry’s most versatile

solutions for multimedia

and display applications,

with multicore scalability

and market-leading power,

performance & integration.

Industry’s most scalable

ultra-low-power, mixed-

signal MCU solutions

based on the ARM®

Cortex™-M and Cortex™-

M0+ architectures.

QorIQ Processors

Built on Layerscape

Architecture Accelerating the Network’s IQ.

Industry’s first software-

aware, core-agnostic

networking system

architecture for the smarter,

more capable networks of

tomorrow – end to end.

Scalable Industry Standard Solutions, Software and Development Ecosystem

The right combination of

intelligent integration, logic

and customizable software

on the platform to deliver

smarter, more differentiated

applications.

For IoT it provides

Context: Identity,

Activity, Location, & Time

Xtrinsic Sensing Intelligent Contextual Sensing.

Fully integrated Short

Range radios with best in

class power performance,

and Powerline

Communications

Connectivity BAN/ PAN/ LAN

23 TM

Day 1

11:30-12:20 来るべき”IoT (Internet of Things)” 時代に対するフリースケールの取り組み

13:00-13:50 IoT時代のインフラを支えるフリースケールのマルチコア・プロセッサ

14:00-14:50

フリースケールのARMマイコン Kinetis（キネティス） のご紹介

15:00-15:50

• i.MX 6シリーズ ポートフォリオ概要: ARM Cortex-A9 ベースの製品 ラインナップと特徴

• 無線通信に欠かせないキーコンポーネントであるRFデバイスの使用例と製品の紹介

16:00-16:50

• ADAS ソリューション

• センサノードのキーデバイスとなるセンサの紹介

• スモール・セル向けソリューションの紹介

Day 2

11:30-12:20 IoTノードとなるカーインフォテインメントシステム

13:00-13:50 IoT時代のインフラを支えるフリースケールのマルチコア・プロセッサ

14:00-14:50

Kinetisエコシステム・パートナーのIoTソリューション

Day 3

11:00-11:50 スマートエネルギ社会を実現するフリースケールの通信/計測マイコン

12:00-12:50 ボディ・ゲートウェイ向け32-bitマイコンのセキュリティ機能

TM