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
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TECHNOLOGY AND LIFESTYLE
Kamarul
hawari
, faculty of electrical and electronics engineering,
Universiti
Malaysia Pahang
Slide2About Me
KAMARUL HAWARI GHAZALI
ICHST 2018
Slide3ICHST 2018
TECHNOLOGY AND LIFESTYLE
Slide4World Go for AI
Computer
vision is at the intersection of all these data-driven
innovations
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Slide5What Is Computer Vision?
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Slide6What Is Computer Vision
?
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Slide7High 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.
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Slide8Autonomous 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
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Slide9Improved Hough Transform
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Slide10Camera on Autonomous Driving
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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
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Slide13Computer 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
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Slide14Sentient 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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Slide16Lens PinInterest
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Slide17Lens
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Slide18VISUAL 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)
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Slide19Emotional Detection
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Slide20Emotional Analytics
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Slide21Emotion Detection Architecture
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Slide22Facial Expressions Using Sophisticated Computer Vision And Machine Learning Techniques
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Slide23Measuring the emotional
experience
Brow
raise
Brow furrow
Nose wrinkleLip corner depressorChin raiseLip puckerLip pressMouth open
Lip suckSmileICHST 2018
Slide24Thermal
Imaging for facial expressionICHST 2018
Slide25Thermal Imaging
Landslide
Early Detection of Spots High Water Saturation
for Landslide
Prediction Using Thermal Imaging
Analysis
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WATER SPOT
Slide26Thermal Imaging
MOTOR FAULTHistogram-based of Healthy and Unhealthy
Bearing Monitoring
in Induction Motor by Using
Thermal Camera
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Slide27ICHST 2018
Slide28The 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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Slide29IBM WATSON
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Slide30Health Monitoring
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Slide31WATSON FOR ONCOLOGY
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Slide32Wearable health technology
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Slide33Intelligent Asthma
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Slide34Wearable Device to Quit Smoking
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Slide35Smart Bra
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Slide36Wearable for soccer player
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Slide37Smart Clothes
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Interested to do research in computer vision ?
Slide41THANK YOU
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