SlideShare a Scribd company logo
1 of 18
PRESENTED BY NAZLI TEMUR
Ubiquitous
Computer Vision
in IoT
Presentation
Overview
THINGS WE'LL COVER • Description Computer Vision,
Ubicomp, IoT
• IoT and Ubicomp Difference
• Direction of Change
• Ubicomp Dream
• Current Stage - Video
• Working on Computer Vision?
• Pitfalls
• Becoming The Game Changer
• Revolution on IoT
• Conclusion
Computer Vision: enabling
computers to see, identify and
process images in the same way
that human vision does.
Main purpose is to create
machines that can see like
humans.
Ubiquitous Computing: Having
computational capability in
many different objects,
Iot: Internet of things, Having
objects all connected to an
internet
Ubicomp is
basically superset
of IoT
IoT evolved
from Ubicomp
Ubicomp vs IoT
Ubicomp will fall
into H-M.
IoT will fall M-M
There are 3
types of
interactions
H-H,H-M,M-M
Ubicomp can occur
using any device,
in any location,
any format,any time
IoT is network of
things connected to
internet
Internet UbiComp was
designed to make
objects intelligent
richer interaction,
the IoT was much
more focussed on
virtual
representations of
automatically
identifiable
objects
Purpose
‘Ubiquitous computing names the third wave in computing,
just now beginning.
First were mainframes, each shared by lots of people.
Now we are in the personal computing era, person and
machine staring uneasily at each other across the desktop.
Next comes ubiquitous computing, or the age of calm
technology, when technology recedes into the background of
our lives’
THE DISAPPEARING COMPUTER
MARK WEİSER 
Change Direction->
Computers embedded on everything.
Computers are simple.
Computers are networked.
Autonomous,
Intelligent,
Decentralised,
Ubicomp Dream
We can inspire from our brain
while designing Ubicomp
MIND'S EYE
Why
Computer
Vision ?
Visual
50%
Other
50%
"Half of the human brain is devoted directly or indirectly to vision." said Prof. 
Mriganka Sur from MIT Brain and Cognitive Science.
Mind's Eye
Complex areas of the brain work cooperatively,
rather than in a rigid hierarchy..
Brain cooperate to process visual information
such as vertical or horizontal orientation,
color, size, shape, movement, and distinctions
between overlapping objects.
Today's Pitfalls: Security, Too
general, Not intelligent
enough, World is full
of uncertainty 
Is the potential loss of what
privacy worth the convenience
of the ubiquitous technology?
Computer Vision will revolutionize IoT
CREATING INTELLIGENT AUTONOMOUS
AND NETWORKED DEVICES NECESSARY,
BUT ONLY OVER THE IP NETWORK IS
QUESTIONABLE.
(CONTEXT-AWARENESS İS MİSSİNG)
WHAT ABOUT THIS UBICOMP :D  
Why IoT
Revolution?
Game
Changer
At a certain point, some
problems would be best be
solved by letting the machine
learning system do the entire
job end-to-end.
End to End
All Internet connected devices
yes even your refrigerator are
potential hacker targets. Cost
is your privacy
Security
“Traditional programs flow only
from inputs to outputs,” With
PP, in contrast, you could ask
the program to infer the inputs
based on the outputs received.
Fighting Uncertainty
FUTURE MACHINES WILL BECOME
SMARTER, BETTER
H-M UNDERSTANDING IS POSSIBLE
WITH BETTER UBIQUITY
CONCLUSION
Let's shape %50 with Computer Vision
LET'S WONDER TOGETHER.
Contact Me
Ankara
Mailing Address
temur.nazli@gmail.com
E-Mail

More Related Content

What's hot

COMP 4010 Lecture7 3D User Interfaces for Virtual Reality
COMP 4010 Lecture7 3D User Interfaces for Virtual RealityCOMP 4010 Lecture7 3D User Interfaces for Virtual Reality
COMP 4010 Lecture7 3D User Interfaces for Virtual RealityMark Billinghurst
 
Comp4010 Lecture9 VR Input and Systems
Comp4010 Lecture9 VR Input and SystemsComp4010 Lecture9 VR Input and Systems
Comp4010 Lecture9 VR Input and SystemsMark Billinghurst
 
Research Directions in Transitional Interfaces
Research Directions in Transitional InterfacesResearch Directions in Transitional Interfaces
Research Directions in Transitional InterfacesMark Billinghurst
 
Creating Immersive and Empathic Learning Experiences
Creating Immersive and Empathic Learning ExperiencesCreating Immersive and Empathic Learning Experiences
Creating Immersive and Empathic Learning ExperiencesMark Billinghurst
 
2016 AR Summer School Lecture3
2016 AR Summer School Lecture32016 AR Summer School Lecture3
2016 AR Summer School Lecture3Mark Billinghurst
 
Collaborative Immersive Analytics
Collaborative Immersive AnalyticsCollaborative Immersive Analytics
Collaborative Immersive AnalyticsMark Billinghurst
 
Mini workshop on ar vr using unity3 d
Mini workshop on ar vr using unity3 dMini workshop on ar vr using unity3 d
Mini workshop on ar vr using unity3 dAkshetPatel
 
Future Directions for Augmented Reality
Future Directions for Augmented RealityFuture Directions for Augmented Reality
Future Directions for Augmented RealityMark Billinghurst
 
COMP 4026 - Lecture1 introduction
COMP 4026 - Lecture1 introductionCOMP 4026 - Lecture1 introduction
COMP 4026 - Lecture1 introductionMark Billinghurst
 
Introduction to Augmented Reality
Introduction to Augmented RealityIntroduction to Augmented Reality
Introduction to Augmented RealityMark Billinghurst
 
COMP 4010 - Lecture1 Introduction to Virtual Reality
COMP 4010 - Lecture1 Introduction to Virtual RealityCOMP 4010 - Lecture1 Introduction to Virtual Reality
COMP 4010 - Lecture1 Introduction to Virtual RealityMark Billinghurst
 
2016 AR Summer School - Lecture 5
2016 AR Summer School - Lecture 52016 AR Summer School - Lecture 5
2016 AR Summer School - Lecture 5Mark Billinghurst
 
COMP 4010 Lecture12 - Research Directions in AR and VR
COMP 4010 Lecture12 - Research Directions in AR and VRCOMP 4010 Lecture12 - Research Directions in AR and VR
COMP 4010 Lecture12 - Research Directions in AR and VRMark Billinghurst
 
Lecture 5: 3D User Interfaces for Virtual Reality
Lecture 5: 3D User Interfaces for Virtual RealityLecture 5: 3D User Interfaces for Virtual Reality
Lecture 5: 3D User Interfaces for Virtual RealityMark Billinghurst
 
Virtual Reality
Virtual RealityVirtual Reality
Virtual Realityrenoy reji
 
Comp 4010 2021 Lecture1-Introduction to XR
Comp 4010 2021 Lecture1-Introduction to XRComp 4010 2021 Lecture1-Introduction to XR
Comp 4010 2021 Lecture1-Introduction to XRMark Billinghurst
 
Mobile AR lecture 9 - Mobile AR Interface Design
Mobile AR lecture 9 - Mobile AR Interface DesignMobile AR lecture 9 - Mobile AR Interface Design
Mobile AR lecture 9 - Mobile AR Interface DesignMark Billinghurst
 
2016 AR Summer School Lecture2
2016 AR Summer School Lecture22016 AR Summer School Lecture2
2016 AR Summer School Lecture2Mark Billinghurst
 
Lecture 6 Interaction Design for VR
Lecture 6 Interaction Design for VRLecture 6 Interaction Design for VR
Lecture 6 Interaction Design for VRMark Billinghurst
 

What's hot (20)

COMP 4010 Lecture7 3D User Interfaces for Virtual Reality
COMP 4010 Lecture7 3D User Interfaces for Virtual RealityCOMP 4010 Lecture7 3D User Interfaces for Virtual Reality
COMP 4010 Lecture7 3D User Interfaces for Virtual Reality
 
Comp4010 Lecture9 VR Input and Systems
Comp4010 Lecture9 VR Input and SystemsComp4010 Lecture9 VR Input and Systems
Comp4010 Lecture9 VR Input and Systems
 
Getting Real about AR
Getting Real about ARGetting Real about AR
Getting Real about AR
 
Research Directions in Transitional Interfaces
Research Directions in Transitional InterfacesResearch Directions in Transitional Interfaces
Research Directions in Transitional Interfaces
 
Creating Immersive and Empathic Learning Experiences
Creating Immersive and Empathic Learning ExperiencesCreating Immersive and Empathic Learning Experiences
Creating Immersive and Empathic Learning Experiences
 
2016 AR Summer School Lecture3
2016 AR Summer School Lecture32016 AR Summer School Lecture3
2016 AR Summer School Lecture3
 
Collaborative Immersive Analytics
Collaborative Immersive AnalyticsCollaborative Immersive Analytics
Collaborative Immersive Analytics
 
Mini workshop on ar vr using unity3 d
Mini workshop on ar vr using unity3 dMini workshop on ar vr using unity3 d
Mini workshop on ar vr using unity3 d
 
Future Directions for Augmented Reality
Future Directions for Augmented RealityFuture Directions for Augmented Reality
Future Directions for Augmented Reality
 
COMP 4026 - Lecture1 introduction
COMP 4026 - Lecture1 introductionCOMP 4026 - Lecture1 introduction
COMP 4026 - Lecture1 introduction
 
Introduction to Augmented Reality
Introduction to Augmented RealityIntroduction to Augmented Reality
Introduction to Augmented Reality
 
COMP 4010 - Lecture1 Introduction to Virtual Reality
COMP 4010 - Lecture1 Introduction to Virtual RealityCOMP 4010 - Lecture1 Introduction to Virtual Reality
COMP 4010 - Lecture1 Introduction to Virtual Reality
 
2016 AR Summer School - Lecture 5
2016 AR Summer School - Lecture 52016 AR Summer School - Lecture 5
2016 AR Summer School - Lecture 5
 
COMP 4010 Lecture12 - Research Directions in AR and VR
COMP 4010 Lecture12 - Research Directions in AR and VRCOMP 4010 Lecture12 - Research Directions in AR and VR
COMP 4010 Lecture12 - Research Directions in AR and VR
 
Lecture 5: 3D User Interfaces for Virtual Reality
Lecture 5: 3D User Interfaces for Virtual RealityLecture 5: 3D User Interfaces for Virtual Reality
Lecture 5: 3D User Interfaces for Virtual Reality
 
Virtual Reality
Virtual RealityVirtual Reality
Virtual Reality
 
Comp 4010 2021 Lecture1-Introduction to XR
Comp 4010 2021 Lecture1-Introduction to XRComp 4010 2021 Lecture1-Introduction to XR
Comp 4010 2021 Lecture1-Introduction to XR
 
Mobile AR lecture 9 - Mobile AR Interface Design
Mobile AR lecture 9 - Mobile AR Interface DesignMobile AR lecture 9 - Mobile AR Interface Design
Mobile AR lecture 9 - Mobile AR Interface Design
 
2016 AR Summer School Lecture2
2016 AR Summer School Lecture22016 AR Summer School Lecture2
2016 AR Summer School Lecture2
 
Lecture 6 Interaction Design for VR
Lecture 6 Interaction Design for VRLecture 6 Interaction Design for VR
Lecture 6 Interaction Design for VR
 

Similar to Ubiquitous Computer Vision in IoT

2015 08-22 io t, makers and more - joakim lindbom
2015 08-22 io t, makers and more - joakim lindbom2015 08-22 io t, makers and more - joakim lindbom
2015 08-22 io t, makers and more - joakim lindbomJoakim Lindbom
 
Internet of Things - a primer
Internet of Things  - a primerInternet of Things  - a primer
Internet of Things - a primerJoakim Lindbom
 
informationtech1-180930175759.pptx
informationtech1-180930175759.pptxinformationtech1-180930175759.pptx
informationtech1-180930175759.pptxjaspreetkaur908049
 
Latest trends in information technology
Latest trends in information technologyLatest trends in information technology
Latest trends in information technologyAtifa Aqueel
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligencekomal jain
 
IxDA Talk: Connected Objects are Natural Born Storytellers (revisited)
IxDA Talk: Connected Objects are Natural Born Storytellers (revisited)IxDA Talk: Connected Objects are Natural Born Storytellers (revisited)
IxDA Talk: Connected Objects are Natural Born Storytellers (revisited)Leandro Agro'
 
Supersense! Studio Context
Supersense! Studio ContextSupersense! Studio Context
Supersense! Studio ContextPhilip van Allen
 
Smart Playing Cards A Ubiquitous Computing Game
Smart Playing Cards A Ubiquitous Computing GameSmart Playing Cards A Ubiquitous Computing Game
Smart Playing Cards A Ubiquitous Computing Gameguest218195
 
Artificial intelligence tapan
Artificial intelligence tapanArtificial intelligence tapan
Artificial intelligence tapanTapan Khilar
 
The Internet of Things. . While IoT has the potential to enhance our lives by...
The Internet of Things. . While IoT has the potential to enhance our lives by...The Internet of Things. . While IoT has the potential to enhance our lives by...
The Internet of Things. . While IoT has the potential to enhance our lives by...LouisFrederickRakoto
 
UBIQUITOUS COMPUTING - Mary M
UBIQUITOUS COMPUTING - Mary MUBIQUITOUS COMPUTING - Mary M
UBIQUITOUS COMPUTING - Mary MMary Margarat
 
it was the handout about AI hand out ppt.pptx
it was the handout about AI hand out ppt.pptxit was the handout about AI hand out ppt.pptx
it was the handout about AI hand out ppt.pptxugushe
 
TOPIC 10-FUTURE ICT TRENDS.pptx
TOPIC 10-FUTURE ICT TRENDS.pptxTOPIC 10-FUTURE ICT TRENDS.pptx
TOPIC 10-FUTURE ICT TRENDS.pptxNMohd3
 
Imagineering - Virtual Worlds
Imagineering - Virtual WorldsImagineering - Virtual Worlds
Imagineering - Virtual WorldsPrithwis Mukerjee
 
20140929 R. GIAFFREDA on IoT future - stakeholders consultation ws brussels
20140929 R. GIAFFREDA on IoT future - stakeholders consultation ws brussels20140929 R. GIAFFREDA on IoT future - stakeholders consultation ws brussels
20140929 R. GIAFFREDA on IoT future - stakeholders consultation ws brusselsRaffaele Giaffreda
 
Copy of Business Geometric Template.pdf
Copy of Business Geometric Template.pdfCopy of Business Geometric Template.pdf
Copy of Business Geometric Template.pdfnishantyadav214768
 

Similar to Ubiquitous Computer Vision in IoT (20)

Introduction uc
Introduction ucIntroduction uc
Introduction uc
 
2015 08-22 io t, makers and more - joakim lindbom
2015 08-22 io t, makers and more - joakim lindbom2015 08-22 io t, makers and more - joakim lindbom
2015 08-22 io t, makers and more - joakim lindbom
 
Internet of Things - a primer
Internet of Things  - a primerInternet of Things  - a primer
Internet of Things - a primer
 
informationtech1-180930175759.pptx
informationtech1-180930175759.pptxinformationtech1-180930175759.pptx
informationtech1-180930175759.pptx
 
Latest trends in information technology
Latest trends in information technologyLatest trends in information technology
Latest trends in information technology
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Beekman5 std ppt_17
Beekman5 std ppt_17Beekman5 std ppt_17
Beekman5 std ppt_17
 
IxDA Talk: Connected Objects are Natural Born Storytellers (revisited)
IxDA Talk: Connected Objects are Natural Born Storytellers (revisited)IxDA Talk: Connected Objects are Natural Born Storytellers (revisited)
IxDA Talk: Connected Objects are Natural Born Storytellers (revisited)
 
Supersense! Studio Context
Supersense! Studio ContextSupersense! Studio Context
Supersense! Studio Context
 
Smart Playing Cards A Ubiquitous Computing Game
Smart Playing Cards A Ubiquitous Computing GameSmart Playing Cards A Ubiquitous Computing Game
Smart Playing Cards A Ubiquitous Computing Game
 
Artificial intelligence tapan
Artificial intelligence tapanArtificial intelligence tapan
Artificial intelligence tapan
 
The Internet of Things. . While IoT has the potential to enhance our lives by...
The Internet of Things. . While IoT has the potential to enhance our lives by...The Internet of Things. . While IoT has the potential to enhance our lives by...
The Internet of Things. . While IoT has the potential to enhance our lives by...
 
UBIQUITOUS COMPUTING - Mary M
UBIQUITOUS COMPUTING - Mary MUBIQUITOUS COMPUTING - Mary M
UBIQUITOUS COMPUTING - Mary M
 
3D Virtual Worlds
3D Virtual Worlds3D Virtual Worlds
3D Virtual Worlds
 
it was the handout about AI hand out ppt.pptx
it was the handout about AI hand out ppt.pptxit was the handout about AI hand out ppt.pptx
it was the handout about AI hand out ppt.pptx
 
TOPIC 10-FUTURE ICT TRENDS.pptx
TOPIC 10-FUTURE ICT TRENDS.pptxTOPIC 10-FUTURE ICT TRENDS.pptx
TOPIC 10-FUTURE ICT TRENDS.pptx
 
Imagineering - Virtual Worlds
Imagineering - Virtual WorldsImagineering - Virtual Worlds
Imagineering - Virtual Worlds
 
Cyberpunk.final.ppt
Cyberpunk.final.pptCyberpunk.final.ppt
Cyberpunk.final.ppt
 
20140929 R. GIAFFREDA on IoT future - stakeholders consultation ws brussels
20140929 R. GIAFFREDA on IoT future - stakeholders consultation ws brussels20140929 R. GIAFFREDA on IoT future - stakeholders consultation ws brussels
20140929 R. GIAFFREDA on IoT future - stakeholders consultation ws brussels
 
Copy of Business Geometric Template.pdf
Copy of Business Geometric Template.pdfCopy of Business Geometric Template.pdf
Copy of Business Geometric Template.pdf
 

More from nazlitemu

Brave machine's tomorrow nazli temur
Brave machine's tomorrow nazli temurBrave machine's tomorrow nazli temur
Brave machine's tomorrow nazli temurnazlitemu
 
Computer vision in public
Computer vision in publicComputer vision in public
Computer vision in publicnazlitemu
 
Blockcircus Hackathon --> The Mesh Team
Blockcircus Hackathon --> The Mesh TeamBlockcircus Hackathon --> The Mesh Team
Blockcircus Hackathon --> The Mesh Teamnazlitemu
 
Future with Machine Vision
Future with Machine VisionFuture with Machine Vision
Future with Machine Visionnazlitemu
 
Activity Recognition Using RGB-Depth Sensors-Final report
Activity Recognition Using RGB-Depth Sensors-Final reportActivity Recognition Using RGB-Depth Sensors-Final report
Activity Recognition Using RGB-Depth Sensors-Final reportnazlitemu
 
Using R Tool for Probability and Statistics
Using R Tool for Probability and Statistics Using R Tool for Probability and Statistics
Using R Tool for Probability and Statistics nazlitemu
 
Activity Recognition using RGBD
Activity Recognition using RGBDActivity Recognition using RGBD
Activity Recognition using RGBDnazlitemu
 
Language Design for Activity Recognition
Language Design for Activity RecognitionLanguage Design for Activity Recognition
Language Design for Activity Recognitionnazlitemu
 
Recursive IIR Implementation for Edge Detection
Recursive IIR Implementation for Edge DetectionRecursive IIR Implementation for Edge Detection
Recursive IIR Implementation for Edge Detectionnazlitemu
 
Representing Graphs by Touching Domains
Representing Graphs by Touching DomainsRepresenting Graphs by Touching Domains
Representing Graphs by Touching Domainsnazlitemu
 
LexBFS-Minimal VertexSeparators Final Presentation
LexBFS-Minimal VertexSeparators Final PresentationLexBFS-Minimal VertexSeparators Final Presentation
LexBFS-Minimal VertexSeparators Final Presentationnazlitemu
 
Antescofo Syncronous Languages for Musical Composition
Antescofo Syncronous Languages for Musical Composition Antescofo Syncronous Languages for Musical Composition
Antescofo Syncronous Languages for Musical Composition nazlitemu
 
All Perfect Elimination Orderings & Minimal Vertex Seperators
All Perfect Elimination Orderings & Minimal Vertex SeperatorsAll Perfect Elimination Orderings & Minimal Vertex Seperators
All Perfect Elimination Orderings & Minimal Vertex Seperatorsnazlitemu
 
LEXBFS on Chordal Graphs with more Example
LEXBFS on Chordal Graphs with more ExampleLEXBFS on Chordal Graphs with more Example
LEXBFS on Chordal Graphs with more Examplenazlitemu
 
LEXBFS on Chordal Graphs
LEXBFS on Chordal GraphsLEXBFS on Chordal Graphs
LEXBFS on Chordal Graphsnazlitemu
 
BFS & Interval Graph Introduction
BFS & Interval Graph IntroductionBFS & Interval Graph Introduction
BFS & Interval Graph Introductionnazlitemu
 
Esterel as A Realtime System Programming Language
Esterel as A Realtime System Programming Language Esterel as A Realtime System Programming Language
Esterel as A Realtime System Programming Language nazlitemu
 
Start up Interviews + Food Market Shift Research
Start up Interviews + Food Market Shift Research Start up Interviews + Food Market Shift Research
Start up Interviews + Food Market Shift Research nazlitemu
 
Foodhub - A Research on Food Market Shift in France
 Foodhub - A Research on Food Market Shift in France Foodhub - A Research on Food Market Shift in France
Foodhub - A Research on Food Market Shift in Francenazlitemu
 
Measurement Strategy for Software Companies
Measurement Strategy for Software CompaniesMeasurement Strategy for Software Companies
Measurement Strategy for Software Companiesnazlitemu
 

More from nazlitemu (20)

Brave machine's tomorrow nazli temur
Brave machine's tomorrow nazli temurBrave machine's tomorrow nazli temur
Brave machine's tomorrow nazli temur
 
Computer vision in public
Computer vision in publicComputer vision in public
Computer vision in public
 
Blockcircus Hackathon --> The Mesh Team
Blockcircus Hackathon --> The Mesh TeamBlockcircus Hackathon --> The Mesh Team
Blockcircus Hackathon --> The Mesh Team
 
Future with Machine Vision
Future with Machine VisionFuture with Machine Vision
Future with Machine Vision
 
Activity Recognition Using RGB-Depth Sensors-Final report
Activity Recognition Using RGB-Depth Sensors-Final reportActivity Recognition Using RGB-Depth Sensors-Final report
Activity Recognition Using RGB-Depth Sensors-Final report
 
Using R Tool for Probability and Statistics
Using R Tool for Probability and Statistics Using R Tool for Probability and Statistics
Using R Tool for Probability and Statistics
 
Activity Recognition using RGBD
Activity Recognition using RGBDActivity Recognition using RGBD
Activity Recognition using RGBD
 
Language Design for Activity Recognition
Language Design for Activity RecognitionLanguage Design for Activity Recognition
Language Design for Activity Recognition
 
Recursive IIR Implementation for Edge Detection
Recursive IIR Implementation for Edge DetectionRecursive IIR Implementation for Edge Detection
Recursive IIR Implementation for Edge Detection
 
Representing Graphs by Touching Domains
Representing Graphs by Touching DomainsRepresenting Graphs by Touching Domains
Representing Graphs by Touching Domains
 
LexBFS-Minimal VertexSeparators Final Presentation
LexBFS-Minimal VertexSeparators Final PresentationLexBFS-Minimal VertexSeparators Final Presentation
LexBFS-Minimal VertexSeparators Final Presentation
 
Antescofo Syncronous Languages for Musical Composition
Antescofo Syncronous Languages for Musical Composition Antescofo Syncronous Languages for Musical Composition
Antescofo Syncronous Languages for Musical Composition
 
All Perfect Elimination Orderings & Minimal Vertex Seperators
All Perfect Elimination Orderings & Minimal Vertex SeperatorsAll Perfect Elimination Orderings & Minimal Vertex Seperators
All Perfect Elimination Orderings & Minimal Vertex Seperators
 
LEXBFS on Chordal Graphs with more Example
LEXBFS on Chordal Graphs with more ExampleLEXBFS on Chordal Graphs with more Example
LEXBFS on Chordal Graphs with more Example
 
LEXBFS on Chordal Graphs
LEXBFS on Chordal GraphsLEXBFS on Chordal Graphs
LEXBFS on Chordal Graphs
 
BFS & Interval Graph Introduction
BFS & Interval Graph IntroductionBFS & Interval Graph Introduction
BFS & Interval Graph Introduction
 
Esterel as A Realtime System Programming Language
Esterel as A Realtime System Programming Language Esterel as A Realtime System Programming Language
Esterel as A Realtime System Programming Language
 
Start up Interviews + Food Market Shift Research
Start up Interviews + Food Market Shift Research Start up Interviews + Food Market Shift Research
Start up Interviews + Food Market Shift Research
 
Foodhub - A Research on Food Market Shift in France
 Foodhub - A Research on Food Market Shift in France Foodhub - A Research on Food Market Shift in France
Foodhub - A Research on Food Market Shift in France
 
Measurement Strategy for Software Companies
Measurement Strategy for Software CompaniesMeasurement Strategy for Software Companies
Measurement Strategy for Software Companies
 

Recently uploaded

IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130Suhani Kapoor
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )Tsuyoshi Horigome
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSCAESB
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort servicejennyeacort
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 

Recently uploaded (20)

IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 

Ubiquitous Computer Vision in IoT

  • 1. PRESENTED BY NAZLI TEMUR Ubiquitous Computer Vision in IoT
  • 2. Presentation Overview THINGS WE'LL COVER • Description Computer Vision, Ubicomp, IoT • IoT and Ubicomp Difference • Direction of Change • Ubicomp Dream • Current Stage - Video • Working on Computer Vision? • Pitfalls • Becoming The Game Changer • Revolution on IoT • Conclusion
  • 3. Computer Vision: enabling computers to see, identify and process images in the same way that human vision does. Main purpose is to create machines that can see like humans.
  • 4. Ubiquitous Computing: Having computational capability in many different objects,
  • 5. Iot: Internet of things, Having objects all connected to an internet
  • 6. Ubicomp is basically superset of IoT IoT evolved from Ubicomp Ubicomp vs IoT Ubicomp will fall into H-M. IoT will fall M-M There are 3 types of interactions H-H,H-M,M-M Ubicomp can occur using any device, in any location, any format,any time IoT is network of things connected to internet Internet UbiComp was designed to make objects intelligent richer interaction, the IoT was much more focussed on virtual representations of automatically identifiable objects Purpose
  • 7. ‘Ubiquitous computing names the third wave in computing, just now beginning. First were mainframes, each shared by lots of people. Now we are in the personal computing era, person and machine staring uneasily at each other across the desktop. Next comes ubiquitous computing, or the age of calm technology, when technology recedes into the background of our lives’ THE DISAPPEARING COMPUTER MARK WEİSER 
  • 9. Computers embedded on everything. Computers are simple. Computers are networked. Autonomous, Intelligent, Decentralised, Ubicomp Dream
  • 10. We can inspire from our brain while designing Ubicomp
  • 11. MIND'S EYE Why Computer Vision ? Visual 50% Other 50% "Half of the human brain is devoted directly or indirectly to vision." said Prof.  Mriganka Sur from MIT Brain and Cognitive Science.
  • 12. Mind's Eye Complex areas of the brain work cooperatively, rather than in a rigid hierarchy.. Brain cooperate to process visual information such as vertical or horizontal orientation, color, size, shape, movement, and distinctions between overlapping objects.
  • 13. Today's Pitfalls: Security, Too general, Not intelligent enough, World is full of uncertainty  Is the potential loss of what privacy worth the convenience of the ubiquitous technology?
  • 14. Computer Vision will revolutionize IoT
  • 15. CREATING INTELLIGENT AUTONOMOUS AND NETWORKED DEVICES NECESSARY, BUT ONLY OVER THE IP NETWORK IS QUESTIONABLE. (CONTEXT-AWARENESS İS MİSSİNG) WHAT ABOUT THIS UBICOMP :D   Why IoT Revolution?
  • 16. Game Changer At a certain point, some problems would be best be solved by letting the machine learning system do the entire job end-to-end. End to End All Internet connected devices yes even your refrigerator are potential hacker targets. Cost is your privacy Security “Traditional programs flow only from inputs to outputs,” With PP, in contrast, you could ask the program to infer the inputs based on the outputs received. Fighting Uncertainty
  • 17. FUTURE MACHINES WILL BECOME SMARTER, BETTER H-M UNDERSTANDING IS POSSIBLE WITH BETTER UBIQUITY CONCLUSION Let's shape %50 with Computer Vision
  • 18. LET'S WONDER TOGETHER. Contact Me Ankara Mailing Address temur.nazli@gmail.com E-Mail