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TECHNOLOGY AND LIFESTYLE TECHNOLOGY AND LIFESTYLE

TECHNOLOGY AND LIFESTYLE - PowerPoint Presentation

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TECHNOLOGY AND LIFESTYLE - PPT Presentation

Kamarul hawari faculty of electrical and electronics engineering Universiti Malaysia Pahang About Me KAMARUL HAWARI GHAZALI ICHST 2018 ICHST 2018 TECHNOLOGY AND LIFESTYLE World Go for AI ID: 779552

ichst 2018 vision computer 2018 ichst computer vision detection technology thermal car imaging based traffic autonomous cars wearable lane

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Presentation Transcript

Slide1

TECHNOLOGY AND LIFESTYLE

Kamarul

hawari

, faculty of electrical and electronics engineering,

Universiti

Malaysia Pahang

Slide2

About Me

KAMARUL HAWARI GHAZALI

ICHST 2018

Slide3

ICHST 2018

TECHNOLOGY AND LIFESTYLE

Slide4

World Go for AI

Computer

vision is at the intersection of all these data-driven

innovations

ICHST 2018

Slide5

What Is Computer Vision?

ICHST 2018

Slide6

What Is Computer Vision

?

ICHST 2018

Slide7

High Profile Computer Vision

Autonomous Car

Depending

on advanced AI computer vision,

and deep machine

learning Google owns the most advanced driverless technology on the market.

ICHST 2018

Slide8

Autonomous Car

Autonomous cars combine a variety of techniques to perceive their surroundings, including radar, laser light, GPS,

odometry

, and

computer

vision‘Road lane detection using H-maxima and improved hough transform’ by Kamarul Ghazali

, Rui Xiao, Jie Ma - Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference

ICHST 2018

Slide9

Improved Hough Transform

ICHST 2018

Slide10

Camera on Autonomous Driving

ICHST 2018

Slide11

ICHST 2018

Cameras are key to a variety of essential tasks: lane finding, road curvature estimation, obstacle detection and classification, traffic sign detection and classification, traffic light detection and classification, and

more

Slide12

ICHST 2018

Slide13

Computer Vision Technology in Business and Marketing

Smarter Online MerchandisingAI Powered Online Shopping by Sentient

Sentient Aware delivers image-based

, real

-time personalization through a visual conversation

that eliminates the need for text search or filters

ICHST 2018

Slide14

Sentient Aware

“We need to change the way people interact with our products. We have to get rid of the filtering systems and search boxes, and let the products speak for themselves.” AI, he says, can give products that voice. “We don’t want to live in a world confined by metadata and tagging. We need intelligent systems that can understand nuance.”

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Slide15

ICHST 2018

Slide16

Lens PinInterest

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Slide17

Lens

ICHST 2018

Slide18

VISUAL SEARCH

ARCHITECTURE

T

rained

a CNN to learn a mapping from

images to

the probability of a user bringing up the close-up view or clicking through to the contentSVM trained with binary labels on a pyramid histogram of words (PHOW)

ICHST 2018

Slide19

Emotional Detection

ICHST 2018

Slide20

Emotional Analytics

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Slide21

Emotion Detection Architecture

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Slide22

Facial Expressions Using Sophisticated Computer Vision And Machine Learning Techniques

ICHST 2018

Slide23

Measuring the emotional

experience

Brow

raise

Brow furrow

Nose wrinkleLip corner depressorChin raiseLip puckerLip pressMouth open

Lip suckSmileICHST 2018

Slide24

Thermal

Imaging for facial expressionICHST 2018

Slide25

Thermal Imaging

Landslide

Early Detection of Spots High Water Saturation

for Landslide

Prediction Using Thermal Imaging

Analysis

ICHST 2018

WATER SPOT

Slide26

Thermal Imaging

MOTOR FAULTHistogram-based of Healthy and Unhealthy

Bearing Monitoring

in Induction Motor by Using

Thermal Camera

ICHST 2018

Slide27

ICHST 2018

Slide28

The computer vision and hardware market is expected to reach $48.6 billion by 2022, so the sector is growing. And this is where we get to the really good stuff: There is almost no end of uses for computer vision. Think of any futuristic situation, and there’s likely a computer vision-related solution that can or will someday be applied. Take those fancy Tesla cars you’ve heard so much about: They rely on a host of cameras as well as sonar, that not only prevent your car from drifting out of a lane, but are able to see what other objects and vehicles are around you and also read signs and traffic signals. In fact, Tesla’s cars actually look under the car in front of you to the car ahead to take into account traffic patterns. Similarly, as reliant on technology as today’s healthcare already is, computer vision will enable new ways of doing diagnostics that are closer to Star Trek to analyze X-rays, MRI, CAT, mammography, and other scans. (After all, some 90 percent of all medical data is image based.)

90 percent of all medical data is image based.

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Slide29

IBM WATSON

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Slide30

Health Monitoring

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Slide31

WATSON FOR ONCOLOGY

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Slide32

Wearable health technology

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Slide33

Intelligent Asthma

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Slide34

Wearable Device to Quit Smoking

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Slide35

Smart Bra

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Slide36

Wearable for soccer player

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Slide37

Smart Clothes

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Slide38

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Slide39

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Slide40

ICHST 2018

Interested to do research in computer vision ?

Slide41

THANK YOU

ICHST 2018