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Overview

When a driver starts a car, he doesnt think

about starting an intelligent analytics sys-

tem; sometimes, thats precisely what hes

doing. In the future, we will encounter in-

telligent systems more often as embedded

analytics is added to applications such as

automotive vision, security and surveillance

systems, industrial and factory automation,

and a host of other consumer applications.

Texas Instruments Incorporated (TI) has

been innovating in embedded analytics for

more than 20 years, blending real-world,

sensor driving technologies like video and

audio with embedded processors and analyt-

ics algorithms. TI provides software libraries

and development tools to make these intel-

ligent applications fast and easy to develop.

Now, high-performance, programmable

and low-power digital signal processors

(DSPs) are providing the foundation for

a new wave of embedded analytics sys-

tems capable of gathering data on their

own, processing it in real time, reach-

ing conclusions and taking actions.

Get smart with TIs

embedded analyticstechnology

This white paper explains how TI, together with members of the TI Design Network

are today empowering leading-edge embedded analytics systems in some of the mos

prominent application areas, including automotive, surveillance, access control and

industrial inspection systems, as well as many emerging applications, including digita

signage, gaming and robotics.

What is embedded analytics?

Embedded analytics technology unites embedded systems and the human senses to enable

systems to analyze inormation and make intelligent decisions. Although embedded analytics

technology appeals to a wide range o industries, there is a set o technical characteristics

that most embedded analytics applications share. They are:

Diversealgorithms: Embedded analytics draws on a myriad o mathematical, statisti-

cal, signal and image-processing techniques. It combines these with machine learning,

pattern recognition and other types o algorithms. The way in which these algorithms are

combined tends to be unique to the application, and each o the algorithms usually needs

to be adjusted a bit. This makes programmable processors and exible sotware, oten in

the orm o re-usable sotware libraries, very important.

Fastprocessing,predictablelatency:Embedded analytics generates a tremendous

computational load that must be processed in real time. Also, time allocated or process-

ing must be bounded and deterministic. Otherwise, the timing o the system is thrown o.

Advanced architectures with parallelism help in this regard.

Datathroughput: Practically all embedded analytics applications involve some orm o

extreme data throughput. Huge amounts o data are brought into the system rom sensors

cameras, microphones and other input devices. This data must be processed quickly,

and the results, oten involving huge amounts o data, must be output just as rapidly. To

maintain data throughput, embedded analytics systems need advanced solutions like

hierarchical memory organization, advanced direct memory access (DMA) controllers and

wide memory interaces.

W H I T E P A P E R

Gaurav Agarwal,marketing manager,

Gesture Recognition and Depth Sensing

Frank Brill,senior member, Technical Staff

Bruce Flinchbaugh,fellow; manager,

Vision Research and Development

Branislav Kisaanin,member, Technical Staff

Mukesh Kumar,marketing manager, Multicore Processors

Jacek Stachurski,member, Technical Staff

Texas Instruments

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2/12Get smart with TIs embedded analytics technology May 2012

2 Texas Instruments

Lowpowerconsumption:Many applications o embedded analytics are mobile or deeply embedded

systems that may or may not have access to the power grid. Low power drain is oten a must-have.

Cost: Many systems with embedded analytics such as IP security cameras, smart TVs and games are

cost sensitive, yet the technical requirements are considerable. Balancing the two is a challenge.

First introduced into the automotive market more than a decade ago, embedded analytics has become wide-

spread to the point where it is a must-have eature on many cars. Outside and in the vehicle, TIs DSPs,

particularly the TMS320C6000DSP platorm, enable the various vision and audio processing subsystems

that orm a vehicles embedded analytics system (see Figure 1 below).

Many, but not all, o the vision processing subsystems in automobiles are outward acing. That is, image

sensors monitor the space around a car and perorm a wide variety o analytics unctions intended to assist

the driver, protect the vehicle rom possible damage, and saeguard objects and pedestrians in the road-

way. For example, several vision-based subsystems, widely known as Advanced Driver Assistance Systems

(ADAS), process the feld o vision in ront o the car and provide inormation directly to the driver. These

subsystems include a lane departure warning system, which warns drivers when the vehicle begins to move

out o its lane; high-beam assist, which adjusts the level o the cars headlights automatically when the lights

rom an approaching vehicle are detected; trafc sign recognition, which ensures that drivers dont miss

speed limit changes and other important road signs; orward collision warning to help drivers avoid ront-end

collisions; and an object detection capability that can automatically take countermeasures to avoid pedestri-

ans or obstructions.

Automotive

embedded analytics

for Advanced Driver

Assistance Systems

(ADAS)

LaneDepartureWarning

DrowsinessDetection

ParkingAssist

PedestrianDetection

NightVision

BlindSpot

Detection

AdaptiveCruiseControl

Figure 1: ADAS enables the car to assist the driver in avoiding dangers on the road.
http://www.ti.com/lsds/ti/dsp/platform/c6000-high-performance/device.pagehttp://www.ti.com/lsds/ti/dsp/platform/c6000-high-performance/device.page

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Texas Instruments

Other types o ADAS systems can assist with parking maneuvers, monitor the entire area around the car

as well as the drivers rear- and side-view blind spots to provide warnings, sound alarms or automatic eva-

sive actions, and oer night vision unctionality based on inrared sensors. In many cars on the road today,

an adaptive cruise control system with embedded analytics will automatically detect other vehicles based

on vision or radar data, calculate the distance and adjust the speed o the car to maintain a pre-determined

distance.

TIs DaVincivideoprocessors, including DM81xvideoprocessors, are key to enabling ADAS technol-

ogy. The parallel architecture o these processors can handle many vision algorithms with the short latency

necessary or these saety applications. In addition, the processors high perormance is balanced by the

sub-3-Watt power budget, a must-have or automotive applications. In the uture, TIs smart multicore, auto-

motive grade (AEC-Q100) OMAP processors will unleash the high-perormance and low-power capabilities

necessary or collecting, analyzing and displaying inormation and warnings in real time.

Inside the vehicle, embedded analytics enables various hands-ree voice recognition control systems or

the vehicles inotainment system. For more than 30 years, TI has been in research and development o

speech-recognition technology, and a portion o this research has been donated to the open source com-

munity in the orm o the TIEmbeddedSpeechRecognizer(TIesr).

TIesr is a medium-size speech recognition system intended or embedded applications in automotive,

industrial controls, consumer products, appliances and other market segments that require that the speech

recognition and analytic processing are perormed locally in the device itsel. It should be noted that some

large-size, more powerul speech recognition/analytic applications are not true embedded systems. In certain

cases, these types o applications will utilize a communication link and perorm much o the processing

remotely, oten in a cloud computing client or server application.

Embedded analytics in the automotive industry will continue to evolve as new techniques are investigated

and developed, and as technology providers like TI continue to innovate with low-power, programmable

single and multicore DSPs and the tools that acilitate their rapid deployment. Three-dimensional (3D) vision

systems, or example, are becoming an integral part o automotive embedded analytics. In recent years,

extensive research has been compiled on stereoscopic vision, which deploys two cameras. Other vision-

related techniques like structured light and time-o-ight systems could be employed with embedded vision

algorithms that leverage 3D sensor measurements to solve problems requiring higher precision.

Get smart with TIs embedded analytics technology May 2012

A good listener:TIesr

A robust and efcient open source speech recognizer, the TI Embedded Speech Recog-

nizer targets embedded platorms with a simple, easy-to-use application programming

interace (API). Capable o adapting to changing noise environments and various microphones, the download-

able TIesr balances memory requirements and processing power with its speech-recognition capabilities and

robustness.
http://www.ti.com/lsds/ti/dsp/platform/davinci/device.pagehttp://www.ti.com/product/tms320dm8148https://gforge.ti.com/gf/project/tiesr/https://gforge.ti.com/gf/project/tiesr/https://gforge.ti.com/gf/project/tiesr/https://gforge.ti.com/gf/project/tiesr/http://www.ti.com/product/tms320dm8148http://www.ti.com/lsds/ti/dsp/platform/davinci/device.page

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4 Texas Instruments

Surveillance

Security and surveillance systems have also incorporated embedded analytics or quite some time. Initially,

analytics was employed in conjunction with data compression/decompression algorithms to optimize the

communication bandwidth associated with security systems. This led to greater penetration o embedded

analytics and, specifcally, vision-related analytics or automated real-time monitoring applications o property

and inrastructure, trafc conditions and others. In addition, a signifcant amount o o-line video analytics

has been implemented or orensics purposes.

Besides vision analytics, sound-processing technologies are bringing embedded audio analytics to security

applications as well. Alarms can be triggered by sounds o aggression, explosions, sirens, collisions, break-

ins and other sounds o trouble. Multiple microphones or sound sensors in surveillance applications are also

implemented to analyze and determine where the source o certain sounds is located or the direction rom

which the sounds are coming.

In addition to vision- or sound-only implementations o analytics in security applications, embedded

analytics has brought these two sensory technologies together in certain systems.

In sound-assisted video analytics (SAVA), audio analytics inspect the sound scene o a surveyed environ-

ment and provide additional inormation about activities not readily discerned rom video. A system could

detect glass breaking, and as a result o embedded analytics, a surveillance camera might be redirected to

the region o interest where the sound originated. Or, the sound o an intrusion might trigger an increased

resolution o certain cameras or better images. Also, audio annotation may help determine the relevance o

a large amount o recorded surveillance video. Sound identifcation may warn o potential security risks even

when they are partially obstructed or hidden, or beore they appear within the cameras feld-o-view. Taking

Security

embedded analytics


Hearing is believing

The ecosystem that has grown around TIs

embedded analytic technologies includes

third-party companies that are developing breakthrough audio solutions.

AudioAnalytic has developed a range o analytics, each detecting a specifc class o sound, used

individually or in combinations to address particular applications and security scenarios.

For example, detect breaking glass or car alarms can add signifcant value to premises or property

protection applications. Aggression and gunshot detection provide increased sta protection in lone

worker locations or other public saety and potentially hostile situations such as hospital A&E, prisons

or police-custody centers. Also, keyword detection allows monitoring stations to be alerted when mem-

bers o sta require assistance through use o designated security keywords.

Learn more: www.audioanalytic.com
http://www.audioanalytic.com/en/http://www.audioanalytic.com/en/

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Texas Instruments


advantage o the complementary aspects o video and audio provides a powerul ramework that can lead to

system robustness or enhanced alarm detection rates.

Security systems that require embedded analytics can leverage many o the capabilities provided by TIs

C6000 DSPs, DaVinci video processors and other system-on-chip (SoC) devices. In addition to their low

power and powerul processing capabilities, these programmable devices are architected or high-bandwidth

data movement. A comprehensive tools environment specifc to embedded analytics ensures rapid develop-

ment cycles and an accelerated time-to-market.

TIs DaVinciDMVAxvideoprocessorsare equipped with capabilities targeted at embedded analytic

security applications. Some o these capabilities include integrated video analytics acceleration, the industrys

frst vision co-processor, an image co-processor and a complete video processing subsystem capable o

ace detection, video stabilization, noise fltering and other unctions. Based on an ARM9 core, TIs DMVAx

processors are supported by TIs Smart Analytics, which includes fve undamental embedded analytics unc-

tions: camera tamper detection; intelligent motion detection; trip zone, which detects and analyzes objects

moving rom one zone to another; object counting; and streaming metadata, which tracks and tags objects

on a rame-to-rame basis (see Figure 2).

An integral part o the DMVAx processors embedded analytics capabilities is TIs smart codec technology

or improving codec efciencies in analytic applications. For example, smart codec technology might unction

in concert with ace detection to allot more bits to the ace in an image and thereby achieve higher resolution

or this region o interest (see Figure 3 on the ollowing page).

Figure 2: Smart analytics are embedded on TIs DaVinci DMVAx video processors.

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6 Texas Instruments

Access control

TI oers referencedesignsfordigitalcameraswithInternetProtocol(IP)connectivity that simpliy devel-

opment and allow designers to concentrate on adding eatures that will dierentiate their products rom the

competition. These reerence designs are based on TIs DaVinci video processors, including the DMVAx, as

well as an IP camera sotware suite. TIs DigitalMediaVideoAnalyticsLibrary (DMVAL) contains much o

the base unctionality needed to assemble an embedded analytic security system. Another building block or

embedded analytic applications, TIsVisionLibrary (VLIB), accelerates the development o vision subsys-

tems in embedded analytic systems or security, automotive and others.

TIs TMS320C674xDSPs are ideal or audio analytics. The processor oers the oating- and fxed-point

capabilities and parallel architecture needed or real-time processing o audio analytics algorithms, but with

low power consumption and at a low cost.

Many biometric characteristics are used to veriy identity, including hand and ace geometry, retinal scansand fngerprint analysis. For example, fngerprint scanners are used or identity verifcation at public saety

acilities, on cell phones and laptops, at health care acilities and even at the local gym to enable quick and

easy access to personal inormation and secure buildings and to keep everyone else out.

Systems that process these applications take a picture o the hand, ace, retina or fngerprint, analyze

the image or biometric data, and store this data in a database used or uture matching. These applications

Peripherals

SPI3

I2C

UART2

HPI

ASP2

ARMSubsystem

ARM9CPU

DMA Data & Configuration Bus

Program/Data Storage

SystemConnectivity

Serial Interfaces

Video Processing Subsystem

Back End

Front End

ImageSignal

Processing(ISP)

CCD ControllerVideo Interface

EnhancedOn-Screen

Display

10b HD/SD DAC

VideoEnc

EDMA

VideoCo-Processor

JPEG

Vision

Co-Processor

VoiceCodec

RTC

Keyscan/ADC

10b HD/SD DAC

EMAC10/100

USB2.0HSOTG

Timer6

WDTPWM4

DDR2EMIF

NAND/ECCEMIF

MMC/SDIO2

10b HD/SD DAC

Resizer

Histogram/3AH.264

MPEG-4

Figure 3: DMVA2 block diagram.
http://www.ti.com/apps/docs/mrktgenpage.tsp?contentId=41246&appId=79&DCMP=DSP_IPNetcam&HQS=Other+OT+dm355ipnc&DCMP=dsp_videosecurity&HQS=Other+OT+ipcamerahttp://www.ti.com/product/tms320c6748http://www.ti.com/product/tms320c6748http://www.ti.com/apps/docs/mrktgenpage.tsp?contentId=41246&appId=79&DCMP=DSP_IPNetcam&HQS=Other+OT+dm355ipnc&DCMP=dsp_videosecurity&HQS=Other+OT+ipcamera

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Texas Instruments

must oten be ultra-low-power when they are on mobile electronics like cell phones and laptops. Slightly

more perormance is necessary to obtain the image o and perorm processing on aces, irises and retinas

(see Figure 4).

TIs TMS320C55xultra-low-powerDSPs are ideal or residential or commercial fngerprint recognition

systems. They ulfll the need or less than two seconds o recognition time or a system with a 100-user

fngerprint template. Since the power consumption is the 16-bit DSP industrys lowest, users only need to

change the battery o battery-powered systems every ew months. TI oers the C5515DSPFingerprintDevel-opmentKit to simpliy development o this application. For ace recognition, iris recognition and other higher

perormance biometrics applications, TIs C674xDSPs and OMAP-L138DSP+ARMprocessor are ideal.

Control systems, actory automation, robotics, automated optical inspection, currency inspection, trafc

management and many other types o industrial systems incorporate various aspects o embedded analytics.

Oten, machine vision is central to these industrial systems, but many also include a range o sensor inputs

not ound in other types o embedded analytic applications, such as pressure, temperature, motion, sound

and other sensors.

The ongoing and seemingly constant advancements in low-power yet high-perormance DSPs have en-

abled greater levels o intelligence in all aspects o industrial embedded analytics utilizing machine vision. As

a consequence, the cameras on the actory oor and the centralized vision processing systems they are con-

nected to are all able to unction as powerul platorms or additional analytics processing. A smart camera,

or instance, might perorm some o the image enhancement and refnement unctions locally that had

previously been perormed in the central vision processing system. Then, the smart camera could analyze

Industrial

embedded analytics

Figure 4: Block diagram o fngerprint process system.
http://www.ti.com/product/tms320c5515http://www.ti.com/tool/tmdxbdkfp5515http://www.ti.com/tool/tmdxbdkfp5515http://www.ti.com/product/tms320c6748http://www.ti.com/product/omap-l138http://www.ti.com/product/omap-l138http://www.ti.com/product/omap-l138http://www.ti.com/product/omap-l138http://www.ti.com/product/tms320c6748http://www.ti.com/tool/tmdxbdkfp5515http://www.ti.com/tool/tmdxbdkfp5515http://www.ti.com/product/tms320c5515

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8 Texas Instruments

the image and respond to it by zooming in or out, or turning or a better angle. And since the central vision

processing systems are not constrained by the low power budgets or small enclosures o smart cameras,

multiple single and multicore DSPs can be added to the centralized image-processing subsystem to support

high-order embedded analytics like 3D object analysis, surace texture analysis and more. See Figure 5 on

the ollowing page or a diagram o a typical industrial imaging system.

In industrial embedded analytic applications, the scalable processing power and both fxed- and oating-

point capabilities o TIs TMS320C66xmulticoreDSPs give these low-power and programmable devices

the characteristics required by smart cameras, vision-processing systems and other rugged processing

platorms. Ahostofsoftwaretoolsandlibraries, including TIs MulticoreSoftwareDevelopmentKits

(MCSDKs) also streamlines development.

TIs C66x DSPs integrate one to eight C66x DSP cores and are based on TIs scalable KeyStone multicore

architecture. They have a wide array o peripherals integrated on-chip, including very high throughput inter-

aces to FPGAs and CPLDs that accelerate system design and reduce system cost. Combining the KeyStone

architecture with extensive memory resources ensures that each processing core will unction at its ullest.

C66x DSPs are well suited to a wide variety o industrial applications, including optical deect inspection,

part identifcation, high-speed barcode readers, color inspection, optical character readers (OCR), trafc man-

agement, currency inspection and high-end industrial printer/scanners.

Easy to image-ine

TIs Design Network includes several companies that provide hardware and sotware design and

optimization services or imaging applications based on TIs processors.

eInfochips product design services and IP

portolio reduce development time, cost and risk

or developers o industrial and video surveillance

analytics applications and beyond.

Learn more: eInfochipsVideoAnalyticsDaughtercarddevelopedaroundTIsDaVinciDM6435

videoprocessor and VideoAnalyticsServices.

D3Engineering provides a ast, low-risk path through embed-

ded product development. Building on proven DesignCore

modules and application sotware libraries, D3 Engineeringspeeds design through launch o embedded systems or digital

video and analytics, digital power management, and precision motion control.

Learn more: www.D3Engineering.com
http://www.ti.com/product/tms320c6678http://www.ti.com/dsp/docs/dspsplash.tsp?contentId=145794http://www.einfochips.com/http://www.einfochips.com/e-store/dm365ipnc-mt5.phphttp://www.einfochips.com/e-store/dm365ipnc-mt5.phphttp://www.einfochips.com/industries/video-analytics-solution.phphttp://www.d3engineering.com/http://www.d3engineering.com/http://www.einfochips.com/industries/video-analytics-solution.phphttp://www.einfochips.com/e-store/dm365ipnc-mt5.phphttp://www.einfochips.com/e-store/dm365ipnc-mt5.phphttp://www.einfochips.com/http://www.ti.com/dsp/docs/dspsplash.tsp?contentId=145794http://www.ti.com/product/tms320c6678

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As an enabling technology, embedded analytics is so adaptable and malleable that it can emerge and be

deployed in surprisingly unrelated and disparate places. Frequently, its appearance is unexpected. Typically, it

disrupts the status quo in an application segment and takes it to a higher and more exciting level.

Embedded analytics is the engine behind robotics, augmented reality and a range o new natural user in-

teraces incorporating 2D or 3D gesture recognition and/or depth sensing. These capabilities play into a wide

array o applications as varied as video games, medical imaging, home automation, smart TVs, e-commerce,

digital signage and unmanned vehicles. The impetus underlying many o these emerging applications is sim-

ply to give machines a certain ability to analyze and respond to the real world around them. 2D and 3D vision

analysis is an important capability in this regard because it moves computer vision closer to human vision.

Embedded analytics or 2D vision analysis can bring about new interactive and natural user interaces or

computers, appliances, industrial machines and other devices. For example, instead o relying on a mouse

to move the cursor on a PC screen, users are able to control their computers with several hand gestures. O

course, adding the third dimension to vision analysis is considerably more complex, but it opens the door to

many new applications, some o which have yet to be invented.

3D vision analysis will extend many applications that today deploy 2D vision. For example, todays 2D hand

gesture recognition can morph into a ull-body tracking interace. Microsots Kinect is a good example. The

Emerging

embedded analytic

applications

Figure 5: Typical industrial imaging system.

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10 Texas Instruments

astest ever consumer adoption o an embedded analytic vision technology, Kinect allows players to interact

with a computer without accessories. The computer, which in Kinects case is the Xbox 360, perceives the

players and calculates the body pose rom 3D inormation (see Figure 6 above).

Digital signage is another example o an emerging embedded analytics application. Not just a static digital

advertisement, digital signage with embedded analytics is able to read the person reading the sign. Inside a

retail store, such a sign will serve up an ad targeted at the demographic group o the reader.

A broad range o TI processors are adept at 2D or 3D processing tasks or a variety o applications. For

2D processing or hand tracking and other low-level applications, TIs SitaraAM335xandAM37xARM

microprocessors are a good ft. For applications requiring ull-body tracking or tracking multiple users,

TIs DaVinciDM3730 and DM8148videoprocessors, as well as the smart multicore OMAPmobile

applicationsprocessors, oer a variety o perormance options and capabilities.

Embedded analytics is reraming how technology is encountered in everyday lie. In the past, a problem

would be brought to a computer, where answers would be dispensed, and in the end, a human being woulddecide on a solution. Now, embedded analytics is moving digital-processing technology to the problem, and

the system determining a solution. The technology challenges enabling embedded analytic applications are

as diverse and as unique as the problems being solved. Fortunately, the embedded processor innovations

rom TI are meeting these challenges head on.

Getting smart with

embedded analytics

Figure 6: Screenshot rom TIs body-tracking demo (using third-party algorithm on TIs DaVinci DM3730 video

processor).
http://www.ti.com/product/am3359http://www.ti.com/product/am3715http://www.ti.com/product/dm3730http://www.ti.com/product/tms320dm8148http://www.ti.com/general/docs/wtbu/wtbuproductcontent.tsp?templateId=6123&navigationId=12844&contentId=53244http://www.ti.com/general/docs/wtbu/wtbuproductcontent.tsp?templateId=6123&navigationId=12844&contentId=53244http://www.ti.com/product/tms320dm8148http://www.ti.com/product/dm3730http://www.ti.com/product/am3715http://www.ti.com/product/am3359

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The sheer diversity o emerging embedded analytics applications demands a broad range o embedded

processors to meet all requirements. TIs breadth o embedded analytics processors, sotware and tools;

additional hardware and sotware support rom its extensive Design Network; and years o leadership in

automotive, security and industrial analytics will continue to help systems get smart by enabling embedded

analytics or new applications.

SPRY201 2012 Texas Instruments Incorporated

Important Notice: The products and services o Texas Instruments Incorporated and its subsidiaries described herein are sold subject to TIs standard terms and

conditions o sale. Customers are advised to obtain the most current and complete inormation about TI products and services beore placing orders. TI assumes no liability

or applications assistance, customers applications or product designs, sotware perormance, or inringement o patents. The publication o inormation regarding any

other companys products or services does not constitute TIs approval, warranty or endorsement thereo.

C6000, DaVinci, OMAP, Sitara, and TMS320C6000 are trademarks o Texas Instruments Incorporated. All other trademarks are the property o their respective owners.

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IMPORTANT NOTICE

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Wireless Connectivity www.ti.com/wirelessconnectivity

TI E2E Community Home Page e2e.ti.com

Mailing Address: Texas Instruments, Post Office Box 655303, Dallas, Texas 75265Copyright 2012, Texas Instruments Incorporated
http://www.ti.com/audiohttp://www.ti.com/automotivehttp://amplifier.ti.com/http://www.ti.com/communicationshttp://dataconverter.ti.com/http://www.ti.com/computershttp://www.dlp.com/http://www.ti.com/consumer-appshttp://dsp.ti.com/http://www.ti.com/energyhttp://www.ti.com/clockshttp://www.ti.com/industrialhttp://interface.ti.com/http://www.ti.com/medicalhttp://logic.ti.com/http://www.ti.com/securityhttp://power.ti.com/http://www.ti.com/space-avionics-defensehttp://microcontroller.ti.com/http://www.ti.com/videohttp://www.ti-rfid.com/http://www.ti.com/omaphttp://www.ti.com/wirelessconnectivityhttp://e2e.ti.com/http://e2e.ti.com/http://www.ti.com/wirelessconnectivityhttp://www.ti.com/omaphttp://www.ti-rfid.com/http://www.ti.com/videohttp://microcontroller.ti.com/http://www.ti.com/space-avionics-defensehttp://power.ti.com/http://www.ti.com/securityhttp://logic.ti.com/http://www.ti.com/medicalhttp://interface.ti.com/http://www.ti.com/industrialhttp://www.ti.com/clockshttp://www.ti.com/energyhttp://dsp.ti.com/http://www.ti.com/consumer-appshttp://www.dlp.com/http://www.ti.com/computershttp://dataconverter.ti.com/http://www.ti.com/communicationshttp://amplifier.ti.com/http://www.ti.com/automotivehttp://www.ti.com/audio

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