SlideShare a Scribd company logo
1 of 29
History of IoT? (1)
1982 – Students invent a connected Coke machine.
Students at Carnegie Mellon University connected the department vending machine
to the main computer via the local network, enabling them to check if drinks were
available and cold. Not everyone liked Coke, but they all loved this invention.
1989 – The World Wide Web is invented
British scientist Tim Berners-Lee invented the World Wide Web (WWW) while
working at CERN. The Governmental system of satellites was complemented by
privately held ones, providing future IoT systems with communications. The first
website that Berners-Lee brought online from the Swiss Alps is still available.
History of IoT? (2)
1990-1993 – World’s first IoT device invented
In 1990, John Romkey created the first IOT device – a toaster that could be turned on and off
over the Internet. By 1991, he had automated the entire process by adding a crane system that
inserted the bread as well.
Then in 1993, the world's first webcam prototype, the Trojan Room Coffee Pot, was installed
at the University of Cambridge to monitor the amount of coffee remaining in the brewing
machine.
1998 – Mark Weiser creates a connected water fountain
Father of ubiquitous computing Mark Weiser created a fountain outside his office. The flow
and the height of the water mimicked the price trends and volume of the stock market in real-
time.
History of IoT? (3)
1999 – “The Internet of Thing” is coined
Kevin Ashton, the founder of Auto-ID, titled a presentation he made at Procter & Gamble
“The Internet of Things”. Ashton linked the ideas of RFID (radio-frequency identification)
and the Internet, which impressed the listeners with its innovativeness. While his idea of
RFID-based device connectivity differs from today’s IP-based (Internet Protocol) IoT,
Ashton’s breakthrough played an essential role in IoT history and technological development
overall.
2005 – The first smart home device is created
Originally released in June 2005, the Nabaztag – an early version of smart home devices like
Alexa and Google Home – was an ambient electronic device shaped like a rabbit, able to alert
its owner and speak to them about the weather, stock market changes, RSS feeds, etc.
History of IoT? (4)
2008-2009 – IoT is born
According to Cisco IBSG*, IoT was conceived between 2008 and 2009, when the number of
connected machines surpassed the number of humans on the planet. Currently, there are
about 21.5 billion connected devices in the world – almost three times the number of people on
the planet.
2011 – IoT added to the hype-cycle for emerging technologies
In 2011, Gartner, the market research company that invented the famous “hype-cycle for
emerging technologies”, included “The Internet of Things” on their list. This year, Gartner
named Vodafone as a Leader in its 2021 Magic Quadrant for Managed IoT Connectivity
Services for the seventh time in a row **.
History of IoT? (5)
2013-2014 – IoT devices start using sensors
Thermostats and home lighting started using sensors to accurately sense the surrounding
environment. This allowed people to control home lighting, garage doors and thermostats all
from their phone.
2014 – The first “smart city” is created
As a smart city “testbed”, Smart Docklands in Dublin provided a platform for innovators to
test cutting-edge technology solutions to local challenges, such as smart bins, sensors
monitoring flood levels and city sound monitoring sensors.
History of IoT? (6)
2018 – IoT enters the healthcare and health insurance industries
Healthcare devices represent one of the fastest-growing sectors of the IoT market. The value
of this sector – sometimes called the Internet of Medical Things (IoMT) – is predicted to reach
$176 billion by 2026***. IoT technology allows healthcare professionals to access patient data
and improve the quality of wearable medical devices. Medical IoT solutions include blood
glucose and heart rate monitoring, pacemakers, fall detection, geofencing and location
monitoring.
2020 – IoT steps up in response to the COVID-19 crisis
In 2020, heat detection cameras started popping up in all sorts of public spaces to measure
people’s temperature. Using infrared technology, thermal cameras detect radiating heat from
a body. Although these devices were originally not designed to be used for medical purposes –
they are often deployed by firefighters to track smouldering embers and police to search for
out-of-sight suspects .
IoT factsheet
1. The number of connected devices by 2030 will be 29.4 billion. (Source: Statista)
So we’re talking about a projected 350% increase in a decade! The 2019 number was just 8.6
billion.
By end-2022, it’s set to reach 13.1 billion and then increase by 2 billion year-on-year until 2030.
2. By 2025, 75.44 billion IoT devices will be installed worldwide. (Source: Statista)
The number of installed IoT devices, sensors, and actuators in 2022 is a whopping 42.62 billion. A
significant rise from the 2021 and 2020 figures—35.82 billion and 30.73 billion, respectively.
3. 24% of consumers report they feel overwhelmed by the number of devices and
subscriptions they have to manage. (Source: Deloitte)
IoT factsheet
4. In 2022, the average number of connected IoT devices per US household is 22. (Source: Deloitte)
Advancements in technology are upgrading our current devices and coming up with even newer ways to
use the internet in our homes.
5. IoT end-user spending is estimated to reach $1.6 trillion by 2025. (Source: Statista)
The current number is $594 billion—a significant step up from the $418 billion recorded in 2021. This
clearly indicates that IoT spending will continue to grow exponentially as years go by.
6. 35% of manufacturers utilize data from automation in manufacturing. (Source: GlobeNewsWire)
Over a third of manufacturers used data from sensors or analysis. The technology contributed to an
improvement in factory functions, hence giving a competitive edge.
IoT factsheet
7. As of 2022, 32% of US consumers owned a smart speaker. (Source: Oberlo)
Amazon is a pioneer in the smart speakers market currently holds the most significant share as
well—it boasts 94.2 million users in the US alone. 46.7 million American own a Google device.
8. The use of low-power networking systems and satellites grew by 20% in 2021. (Source: IoT
World Today)
In the last few years, there has been a significant focus on applying 5G technology in relation to
IoT. Furthermore, the adoption of satellites and similar technologies in powering IoT devices grew
by one-fifth in 2021! R&D departments are currently working in full power to deploy 5G and
develop new technologies.
IoT factsheet
9. By 2025, the IoT data volume will be 79.4 zettabytes. (Source: Statista)
Experts predict that data usage will be about 80 zettabytes by 2025. The so-called Big Data 2.0.
10. The number of networked device ownership worldwide will be 3.6 per person in 2023.
(Source: Cisco)
On a global scale, 2.1 per capita will be the increase in possession of connected gadgets in the next
few years compared to 2018 data.
***But how many IoT devices are there, you ask? Well, to answer this, we must first look at
what an IoT device is.
What Is IoT?
9. By 2025, the IoT data volume will be 79.4 zettabytes. (Source: Statista)
Experts predict that data usage will be about 80 zettabytes by 2025. The so-called Big Data 2.0.
12. The number of networked device ownership worldwide will be 3.6 per person in 2023.
(Source: Cisco)
On a global scale, 2.1 per capita will be the increase in possession of connected gadgets in the next
few years compared to 2018 data.
***But how many IoT devices are there, you ask? Well, to answer this, we must first look at
what an IoT device is.
What is IoT?
What is the Internet of Things
• IoT or the Internet of Things defines a system of devices connected and
able to talk to each other.
• It encompasses everything - from simple sensors to wearables, to
environmental monitoring systems.
• IoT comprises things that have unique identities and are connected to
internet.
• IoT is not limited to just connecting things to the internet but also allows
things to communicate and exchange data.
Machine to Machine (M2M) communication
• An IoT device is usually a gadget that has a physical sensor, actuator
(mover), and microprocessor that helps it capture and act on information
from the environment.
• By definition, to call things connected they need to communicate with
each other. The term for that is Machine-to-Machine (M2M)
communication.
• M2M is the technology that allows communication between devices
through wired and wireless systems.
• Those wireless or wired technologies for IoT communications can be short-
range and long-range.
Making devices smart….
• IoT devices are those equipped to read, share and act on information coming from their
surroundings.
• But in order to really count on autonomous IoT coffee machines to brew us coffee, we
need to teach our devices to think. ..
• Artificial Intelligence (AI) and Machine Learning (ML) is how we make our devices
smart.
• AI allows machines to copy human behaviour.
• Machine learning, on the other hand, shows the machine how to learn. It’s the method
devices use to gain knowledge from data.
• Ok, but how exactly does IoT work? How do we make our devices smart?
How Does IoT Impact Us?
• Anything that can be connected to the internet will be connected to the internet. And connecting
things to the network will result in “things” communicating and navigating processes without the
need for people.
• What does that mean for us?
• For starters, mornings, in which our smart home ushers us from bed to work, will become part of
the ordinary.
• Machines in our offices will know when they’re running out of supplies and take it upon themselves
to re-order what’s needed.
• Wearable devices such as smartwatches will monitor not only health but also productivity.
• Temperature control devices will not only monitor for the comfort of our homes but will help
organizations cut costs by controlling the environment in offices as well.
• IoT applications, really, are countless….and scary!!!
Why is IoT Important?
• Connecting things to the internet yields many benefits.
• Not only does it make our lives easier by bringing automation to our homes - but it
also provides essential feedback for businesses.
• The internet of things can give insight into how effective companies’ systems are. It
can be used to evaluate the performance of machines, supply chains, and logistics
operations.
• That, in turn, can be used to choose which processes can be automated and thus
cut labor costs. Further, prices of goods and services can be reduced by using IoT
devices that monitor production waste and improve service delivery.
• IoT can be applied in every industry - healthcare, manufacturing, even retail, and
finance. Connected sensors aid in farming as well, where they’re used to monitor
crops and cattle and predict growth patterns.
Applications
IoT Applications
1. Home Automation:
a) Smart Lighting: helps in saving energy by adapting the lighting to the
ambient
conditions and switching on/off or dimming the light when needed.
b) Smart Appliances: make the management easier and also provide status
information to the users remotely.
c) Intrusion Detection: use security cameras and sensors (PIR sensors and
door sensors) to detect intrusion and raise alerts. Alerts can be in the form of
SMS or email sent to the user.
d) Smoke/Gas Detectors: Smoke detectors are installed in homes and
buildings to detect smoke that is typically an early sign of fire. Alerts raised by
smoke detectors can be in the form of signals to a fire alarm system. Gas
detectors can detect the presence of harmful gases such as CO, LPG etc
IoT Applications
2. Smart Cities:
a) Smart Parking: make the search for parking space easier and convenient for drivers.
Smart parking are powered by IoT systems that detect the no. of empty parking slots
and send information over internet to smart application backends.
b) Smart Lighting: for roads, parks and buildings can help in saving energy.
c) Smart Roads: Equipped with sensors can provide information on driving condition,
travel time estimating and alert in case of poor driving conditions, traffic condition
and accidents.
d) Structural Health Monitoring: uses a network of sensors to monitor the vibration
levels in the structures such as bridges and buildings.
e) Surveillance: The video feeds from surveillance cameras can be aggregated in cloud
based scalable storage solution.
f) Emergency Response: IoT systems for fire detection, gas and water leakage
detection can help in generating alerts and minimizing their effects on the critical
infrastructure
IoT Applications
3) Environment Monitoring:
a) Weather Monitoring: Systems collect data from sensors attached and send the data
to cloud based applications and storage back ends for analysis and visualization.
b) Air Pollution Monitoring: System can monitor emission of harmful gases(CO2, CO,
NO, NO2 etc.,) by factories and automobiles using gaseous and meteorological
sensors. The collected data can be analyzed to make informed decisions on pollutions
control approaches.
c) Noise Pollution Monitoring: IoT based noise pollution monitoring systems use a no.
of noise monitoring systems that are deployed at different places in a city. The
collected data is then aggregated to generate noise maps.
d) Forest Fire Detection: Early detection of forest fire can help in minimizing damage.
e) River Flood Detection:. Early warnings of floods can be given by monitoring the
water level and flow rate. IoT based river flood monitoring system uses a number of
sensor nodes that monitor the water level and flow rate sensors.
IoT Applications
4) Energy:
a) Smart Grids: is a data communication network integrated with the electrical grids that collects and
analyze data captured in near-real-time about power transmission, distribution and consumption. Smart
grid technology provides predictive information and recommendations to utilities, their suppliers, and
their customers on how best to manage power. By using IoT based sensing and measurement
technologies, the health of equipment and integrity of the grid can be evaluated.
b) Renewable Energy Systems: IoT based systems integrated with the transformers at the point of
interconnection measure the electrical variables and how much power is fed into the grid. For wind
energy systems, closed-loop controls can be used to regulate the voltage at point of interconnection
which coordinate wind turbine outputs and provides power support.
c) Prognostics: In systems such as power grids, real-time information is collected using specialized
electrical sensors called Phasor Measurment Units(PMUs) at the substations. The information received
from PMUs must be monitored in real-time for estimating the state of the system and for predicting
failures.
IoT Applications
5) Retail:
a) Inventory Management: IoT systems enable remote monitoring of
inventory using data collected by RFID readers.
b) Smart Payments: Solutions such as contact-less payments powered by
technologies such as Near Field Communication(NFC) and Bluetooth.
c) Smart Vending Machines: Sensors in a smart vending machines
monitors its operations and send the data to cloud which can be used for
predictive maintenance
IoT Applications
6) Logistics:
a) Route generation & scheduling: IoT based system backed by cloud can provide first
response to the route generation queries and can be scaled upto serve a large
transportation network.
b) Fleet Tracking: Use GPS to track locations of vehicles in real-time.
c) Shipment Monitoring: IoT based shipment monitoring systems use sensors such as
temp, humidity, to monitor the conditions and send data to cloud, where it can be
analyzed to detect foods spoilage.
d) Remote Vehicle Diagnostics: Systems use on-board IoT devices for collecting data
on Vehicle operations(speed, RPM etc.,) and status of various vehicle subsystems.
IoT Applications
7) Agriculture:
a) Smart Irrigation: to determine moisture amount in soil.
b) Agricultural IoT applications can help farmers monitor water tank levels in real-time. That, in
turn, will make the irrigation process more efficient.
c) IoT advancements can also help farmers know how much time and resources a seed takes
to fully grow into a vegetable.
d) Connected devices in the sector can measure data accurately and thus farmers will be able
to decrease costs and increase yields.
8) Health and LifeStyle:
a) Health & Fitness Monitoring
b) Wearable Electronics
IoT Benefits for industry
Production Visibility
• Connecting machines, tools, and sensors will give engineers and managers a much-needed
perspective of the production process. And it will allow employees to automatically track parts as
they move through assemblies.
• This detailed type of visibility will help identify obstacles that cause manufacturing issues. The
gathered data will allow processes to be improved at a faster rate.
Higher Workforce Productivity
• IoT-enabled tools will allow operators to go through workflows faster, without compromising
quality. IoT light kits, for instance, can help operators find the piece they need quicker and reduce
their cycle time.
• Likewise, using IoT-enabled tools such as torque drivers can increase productivity. It does so by
automatically adjusting the tool’s settings according to the performed operation.
• All kinds of tools operators use can be connected and thus provide real-time insight into their
productivity.
IoT Benefits for industry
Enhanced Production Cycles
• Engineers and management teams will greatly benefit from the industrial
application of IoT.
• Data collection, previously subject to manual labor such as collecting, aggregating,
and analyzing data will all be automated. In time, this will aid to improve
production processes.
Reduced Costs and Improved Quality
• Quality control is crucial, yet quality management systems (QMS) are hard to
implement. Industrial IoT, however, can ease the process and even reduce the
associated costs.
• IoT sensors can replace manual inspections with automatic checks of variables that
are critical to the quality. That will cut the time and resources dedicated to QMS.
• In addition, environmental sensors can continuously monitor conditions critical to
quality and alert prior to any obstacles.
IoT Benefits for industry
Management Cost Cuts
• IoT sensors can be leveraged to cut costs in manufacturing and storage facilities. For
instance, smart tracking systems that use barcodes can help manufacturers monitor and
optimize the usage of space.
• IoT gadgets can also help companies better manage their facilities. The feedback is used
to ensure that temperature, humidity, and any other environmental conditions stay
within the required range.
• Manufacturers can conserve energy, reduce costs, and increase operational efficiency -
all by using sensors to monitor machinery.
Optimizing Supply Chain
• Industries can take advantage of connected sensors that monitor the supply chain and
provide real-time information. Those sensors can track inputs, equipment, and products.
• RFID tags can be used to track inventory as it moves around the supply chain. The data
that is gathered will allow manufacturers to identify interdependencies, material flow,
and track manufacturing cycle times.
Assignment
• Write a short essay on the dangers and criticisms of IoT Adaptation
• Work in 3 groups of 4-5 people
• Original essays and arguments attract extra marks
• Use relevant examples and real life cases
• Use 500-800 words. Longer essays will be penalised

More Related Content

Similar to Introduction to IoT.pptx

IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptxVinishA23
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptxVinishA23
 
introduction to Internet of things presentation
introduction to Internet of things presentationintroduction to Internet of things presentation
introduction to Internet of things presentationKavitabani1
 
Internet of things New Version 2017 Document
Internet of things New Version 2017 DocumentInternet of things New Version 2017 Document
Internet of things New Version 2017 DocumentAjith Kumar Ravi
 
IoT(Internet of Things) Report
IoT(Internet of Things) ReportIoT(Internet of Things) Report
IoT(Internet of Things) ReportHitesh Kumar Singh
 
What Is IoT or Internet of Things?
What Is IoT or Internet of Things?What Is IoT or Internet of Things?
What Is IoT or Internet of Things?Sushil Deshmukh
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptxcetabac
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptxSampath737246
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptxssuser2cc0d4
 
Internet Of things
Internet Of thingsInternet Of things
Internet Of thingsDeva Johnson
 
Internet of-thing
Internet of-thingInternet of-thing
Internet of-thingRishab garg
 
Internet of Things
Internet of ThingsInternet of Things
Internet of Thingspandey97
 
Internet of things Seminar Reprt
Internet of things Seminar ReprtInternet of things Seminar Reprt
Internet of things Seminar ReprtVikrant Negi
 
Role of IoT for smarter life
Role of IoT for smarter lifeRole of IoT for smarter life
Role of IoT for smarter lifebhas_ani
 
Internet of Things (IoT): More than Smart “Things”
Internet of Things (IoT): More than Smart “Things”Internet of Things (IoT): More than Smart “Things”
Internet of Things (IoT): More than Smart “Things”Ahmed Banafa
 

Similar to Introduction to IoT.pptx (20)

Iot report
Iot reportIot report
Iot report
 
MTBiz November 2014
MTBiz November 2014MTBiz November 2014
MTBiz November 2014
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptx
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptx
 
Iot
IotIot
Iot
 
introduction to Internet of things presentation
introduction to Internet of things presentationintroduction to Internet of things presentation
introduction to Internet of things presentation
 
Internet of things New Version 2017 Document
Internet of things New Version 2017 DocumentInternet of things New Version 2017 Document
Internet of things New Version 2017 Document
 
IoT(Internet of Things) Report
IoT(Internet of Things) ReportIoT(Internet of Things) Report
IoT(Internet of Things) Report
 
What Is IoT or Internet of Things?
What Is IoT or Internet of Things?What Is IoT or Internet of Things?
What Is IoT or Internet of Things?
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptx
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptx
 
IoT and Big Data.pptx
IoT and Big Data.pptxIoT and Big Data.pptx
IoT and Big Data.pptx
 
Internet Of things
Internet Of thingsInternet Of things
Internet Of things
 
Internet of-thing
Internet of-thingInternet of-thing
Internet of-thing
 
Internet of Things
Internet of ThingsInternet of Things
Internet of Things
 
Internet of things Seminar Reprt
Internet of things Seminar ReprtInternet of things Seminar Reprt
Internet of things Seminar Reprt
 
Ioe module 1
Ioe module 1Ioe module 1
Ioe module 1
 
Role of IoT for smarter life
Role of IoT for smarter lifeRole of IoT for smarter life
Role of IoT for smarter life
 
Internet of Things (IoT): More than Smart “Things”
Internet of Things (IoT): More than Smart “Things”Internet of Things (IoT): More than Smart “Things”
Internet of Things (IoT): More than Smart “Things”
 
technical t.pptx
technical t.pptxtechnical t.pptx
technical t.pptx
 

More from DukeCalvin

Computer Science Ethics: Deontological ethics.pptx
Computer Science Ethics: Deontological ethics.pptxComputer Science Ethics: Deontological ethics.pptx
Computer Science Ethics: Deontological ethics.pptxDukeCalvin
 
COMPUTER SCIENCE: PACIFISM IN ETHICS AND PEACE STUDIES
COMPUTER SCIENCE: PACIFISM IN ETHICS AND PEACE STUDIESCOMPUTER SCIENCE: PACIFISM IN ETHICS AND PEACE STUDIES
COMPUTER SCIENCE: PACIFISM IN ETHICS AND PEACE STUDIESDukeCalvin
 
Topic 4 Data Processing.pptx
Topic 4 Data Processing.pptxTopic 4 Data Processing.pptx
Topic 4 Data Processing.pptxDukeCalvin
 
Data types in Python.pptx
Data types in Python.pptxData types in Python.pptx
Data types in Python.pptxDukeCalvin
 
Data structures and algorithms Module-1.pdf
Data structures and algorithms Module-1.pdfData structures and algorithms Module-1.pdf
Data structures and algorithms Module-1.pdfDukeCalvin
 
Python-L1.pptx
Python-L1.pptxPython-L1.pptx
Python-L1.pptxDukeCalvin
 
Entreprenuership skill development.pptx
Entreprenuership skill development.pptxEntreprenuership skill development.pptx
Entreprenuership skill development.pptxDukeCalvin
 

More from DukeCalvin (7)

Computer Science Ethics: Deontological ethics.pptx
Computer Science Ethics: Deontological ethics.pptxComputer Science Ethics: Deontological ethics.pptx
Computer Science Ethics: Deontological ethics.pptx
 
COMPUTER SCIENCE: PACIFISM IN ETHICS AND PEACE STUDIES
COMPUTER SCIENCE: PACIFISM IN ETHICS AND PEACE STUDIESCOMPUTER SCIENCE: PACIFISM IN ETHICS AND PEACE STUDIES
COMPUTER SCIENCE: PACIFISM IN ETHICS AND PEACE STUDIES
 
Topic 4 Data Processing.pptx
Topic 4 Data Processing.pptxTopic 4 Data Processing.pptx
Topic 4 Data Processing.pptx
 
Data types in Python.pptx
Data types in Python.pptxData types in Python.pptx
Data types in Python.pptx
 
Data structures and algorithms Module-1.pdf
Data structures and algorithms Module-1.pdfData structures and algorithms Module-1.pdf
Data structures and algorithms Module-1.pdf
 
Python-L1.pptx
Python-L1.pptxPython-L1.pptx
Python-L1.pptx
 
Entreprenuership skill development.pptx
Entreprenuership skill development.pptxEntreprenuership skill development.pptx
Entreprenuership skill development.pptx
 

Recently uploaded

Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 

Recently uploaded (20)

Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 

Introduction to IoT.pptx

  • 1. History of IoT? (1) 1982 – Students invent a connected Coke machine. Students at Carnegie Mellon University connected the department vending machine to the main computer via the local network, enabling them to check if drinks were available and cold. Not everyone liked Coke, but they all loved this invention. 1989 – The World Wide Web is invented British scientist Tim Berners-Lee invented the World Wide Web (WWW) while working at CERN. The Governmental system of satellites was complemented by privately held ones, providing future IoT systems with communications. The first website that Berners-Lee brought online from the Swiss Alps is still available.
  • 2. History of IoT? (2) 1990-1993 – World’s first IoT device invented In 1990, John Romkey created the first IOT device – a toaster that could be turned on and off over the Internet. By 1991, he had automated the entire process by adding a crane system that inserted the bread as well. Then in 1993, the world's first webcam prototype, the Trojan Room Coffee Pot, was installed at the University of Cambridge to monitor the amount of coffee remaining in the brewing machine. 1998 – Mark Weiser creates a connected water fountain Father of ubiquitous computing Mark Weiser created a fountain outside his office. The flow and the height of the water mimicked the price trends and volume of the stock market in real- time.
  • 3. History of IoT? (3) 1999 – “The Internet of Thing” is coined Kevin Ashton, the founder of Auto-ID, titled a presentation he made at Procter & Gamble “The Internet of Things”. Ashton linked the ideas of RFID (radio-frequency identification) and the Internet, which impressed the listeners with its innovativeness. While his idea of RFID-based device connectivity differs from today’s IP-based (Internet Protocol) IoT, Ashton’s breakthrough played an essential role in IoT history and technological development overall. 2005 – The first smart home device is created Originally released in June 2005, the Nabaztag – an early version of smart home devices like Alexa and Google Home – was an ambient electronic device shaped like a rabbit, able to alert its owner and speak to them about the weather, stock market changes, RSS feeds, etc.
  • 4. History of IoT? (4) 2008-2009 – IoT is born According to Cisco IBSG*, IoT was conceived between 2008 and 2009, when the number of connected machines surpassed the number of humans on the planet. Currently, there are about 21.5 billion connected devices in the world – almost three times the number of people on the planet. 2011 – IoT added to the hype-cycle for emerging technologies In 2011, Gartner, the market research company that invented the famous “hype-cycle for emerging technologies”, included “The Internet of Things” on their list. This year, Gartner named Vodafone as a Leader in its 2021 Magic Quadrant for Managed IoT Connectivity Services for the seventh time in a row **.
  • 5. History of IoT? (5) 2013-2014 – IoT devices start using sensors Thermostats and home lighting started using sensors to accurately sense the surrounding environment. This allowed people to control home lighting, garage doors and thermostats all from their phone. 2014 – The first “smart city” is created As a smart city “testbed”, Smart Docklands in Dublin provided a platform for innovators to test cutting-edge technology solutions to local challenges, such as smart bins, sensors monitoring flood levels and city sound monitoring sensors.
  • 6. History of IoT? (6) 2018 – IoT enters the healthcare and health insurance industries Healthcare devices represent one of the fastest-growing sectors of the IoT market. The value of this sector – sometimes called the Internet of Medical Things (IoMT) – is predicted to reach $176 billion by 2026***. IoT technology allows healthcare professionals to access patient data and improve the quality of wearable medical devices. Medical IoT solutions include blood glucose and heart rate monitoring, pacemakers, fall detection, geofencing and location monitoring. 2020 – IoT steps up in response to the COVID-19 crisis In 2020, heat detection cameras started popping up in all sorts of public spaces to measure people’s temperature. Using infrared technology, thermal cameras detect radiating heat from a body. Although these devices were originally not designed to be used for medical purposes – they are often deployed by firefighters to track smouldering embers and police to search for out-of-sight suspects .
  • 7. IoT factsheet 1. The number of connected devices by 2030 will be 29.4 billion. (Source: Statista) So we’re talking about a projected 350% increase in a decade! The 2019 number was just 8.6 billion. By end-2022, it’s set to reach 13.1 billion and then increase by 2 billion year-on-year until 2030. 2. By 2025, 75.44 billion IoT devices will be installed worldwide. (Source: Statista) The number of installed IoT devices, sensors, and actuators in 2022 is a whopping 42.62 billion. A significant rise from the 2021 and 2020 figures—35.82 billion and 30.73 billion, respectively. 3. 24% of consumers report they feel overwhelmed by the number of devices and subscriptions they have to manage. (Source: Deloitte)
  • 8. IoT factsheet 4. In 2022, the average number of connected IoT devices per US household is 22. (Source: Deloitte) Advancements in technology are upgrading our current devices and coming up with even newer ways to use the internet in our homes. 5. IoT end-user spending is estimated to reach $1.6 trillion by 2025. (Source: Statista) The current number is $594 billion—a significant step up from the $418 billion recorded in 2021. This clearly indicates that IoT spending will continue to grow exponentially as years go by. 6. 35% of manufacturers utilize data from automation in manufacturing. (Source: GlobeNewsWire) Over a third of manufacturers used data from sensors or analysis. The technology contributed to an improvement in factory functions, hence giving a competitive edge.
  • 9. IoT factsheet 7. As of 2022, 32% of US consumers owned a smart speaker. (Source: Oberlo) Amazon is a pioneer in the smart speakers market currently holds the most significant share as well—it boasts 94.2 million users in the US alone. 46.7 million American own a Google device. 8. The use of low-power networking systems and satellites grew by 20% in 2021. (Source: IoT World Today) In the last few years, there has been a significant focus on applying 5G technology in relation to IoT. Furthermore, the adoption of satellites and similar technologies in powering IoT devices grew by one-fifth in 2021! R&D departments are currently working in full power to deploy 5G and develop new technologies.
  • 10. IoT factsheet 9. By 2025, the IoT data volume will be 79.4 zettabytes. (Source: Statista) Experts predict that data usage will be about 80 zettabytes by 2025. The so-called Big Data 2.0. 10. The number of networked device ownership worldwide will be 3.6 per person in 2023. (Source: Cisco) On a global scale, 2.1 per capita will be the increase in possession of connected gadgets in the next few years compared to 2018 data. ***But how many IoT devices are there, you ask? Well, to answer this, we must first look at what an IoT device is.
  • 11. What Is IoT? 9. By 2025, the IoT data volume will be 79.4 zettabytes. (Source: Statista) Experts predict that data usage will be about 80 zettabytes by 2025. The so-called Big Data 2.0. 12. The number of networked device ownership worldwide will be 3.6 per person in 2023. (Source: Cisco) On a global scale, 2.1 per capita will be the increase in possession of connected gadgets in the next few years compared to 2018 data. ***But how many IoT devices are there, you ask? Well, to answer this, we must first look at what an IoT device is.
  • 13. What is the Internet of Things • IoT or the Internet of Things defines a system of devices connected and able to talk to each other. • It encompasses everything - from simple sensors to wearables, to environmental monitoring systems. • IoT comprises things that have unique identities and are connected to internet. • IoT is not limited to just connecting things to the internet but also allows things to communicate and exchange data.
  • 14. Machine to Machine (M2M) communication • An IoT device is usually a gadget that has a physical sensor, actuator (mover), and microprocessor that helps it capture and act on information from the environment. • By definition, to call things connected they need to communicate with each other. The term for that is Machine-to-Machine (M2M) communication. • M2M is the technology that allows communication between devices through wired and wireless systems. • Those wireless or wired technologies for IoT communications can be short- range and long-range.
  • 15. Making devices smart…. • IoT devices are those equipped to read, share and act on information coming from their surroundings. • But in order to really count on autonomous IoT coffee machines to brew us coffee, we need to teach our devices to think. .. • Artificial Intelligence (AI) and Machine Learning (ML) is how we make our devices smart. • AI allows machines to copy human behaviour. • Machine learning, on the other hand, shows the machine how to learn. It’s the method devices use to gain knowledge from data. • Ok, but how exactly does IoT work? How do we make our devices smart?
  • 16. How Does IoT Impact Us? • Anything that can be connected to the internet will be connected to the internet. And connecting things to the network will result in “things” communicating and navigating processes without the need for people. • What does that mean for us? • For starters, mornings, in which our smart home ushers us from bed to work, will become part of the ordinary. • Machines in our offices will know when they’re running out of supplies and take it upon themselves to re-order what’s needed. • Wearable devices such as smartwatches will monitor not only health but also productivity. • Temperature control devices will not only monitor for the comfort of our homes but will help organizations cut costs by controlling the environment in offices as well. • IoT applications, really, are countless….and scary!!!
  • 17. Why is IoT Important? • Connecting things to the internet yields many benefits. • Not only does it make our lives easier by bringing automation to our homes - but it also provides essential feedback for businesses. • The internet of things can give insight into how effective companies’ systems are. It can be used to evaluate the performance of machines, supply chains, and logistics operations. • That, in turn, can be used to choose which processes can be automated and thus cut labor costs. Further, prices of goods and services can be reduced by using IoT devices that monitor production waste and improve service delivery. • IoT can be applied in every industry - healthcare, manufacturing, even retail, and finance. Connected sensors aid in farming as well, where they’re used to monitor crops and cattle and predict growth patterns.
  • 19. IoT Applications 1. Home Automation: a) Smart Lighting: helps in saving energy by adapting the lighting to the ambient conditions and switching on/off or dimming the light when needed. b) Smart Appliances: make the management easier and also provide status information to the users remotely. c) Intrusion Detection: use security cameras and sensors (PIR sensors and door sensors) to detect intrusion and raise alerts. Alerts can be in the form of SMS or email sent to the user. d) Smoke/Gas Detectors: Smoke detectors are installed in homes and buildings to detect smoke that is typically an early sign of fire. Alerts raised by smoke detectors can be in the form of signals to a fire alarm system. Gas detectors can detect the presence of harmful gases such as CO, LPG etc
  • 20. IoT Applications 2. Smart Cities: a) Smart Parking: make the search for parking space easier and convenient for drivers. Smart parking are powered by IoT systems that detect the no. of empty parking slots and send information over internet to smart application backends. b) Smart Lighting: for roads, parks and buildings can help in saving energy. c) Smart Roads: Equipped with sensors can provide information on driving condition, travel time estimating and alert in case of poor driving conditions, traffic condition and accidents. d) Structural Health Monitoring: uses a network of sensors to monitor the vibration levels in the structures such as bridges and buildings. e) Surveillance: The video feeds from surveillance cameras can be aggregated in cloud based scalable storage solution. f) Emergency Response: IoT systems for fire detection, gas and water leakage detection can help in generating alerts and minimizing their effects on the critical infrastructure
  • 21. IoT Applications 3) Environment Monitoring: a) Weather Monitoring: Systems collect data from sensors attached and send the data to cloud based applications and storage back ends for analysis and visualization. b) Air Pollution Monitoring: System can monitor emission of harmful gases(CO2, CO, NO, NO2 etc.,) by factories and automobiles using gaseous and meteorological sensors. The collected data can be analyzed to make informed decisions on pollutions control approaches. c) Noise Pollution Monitoring: IoT based noise pollution monitoring systems use a no. of noise monitoring systems that are deployed at different places in a city. The collected data is then aggregated to generate noise maps. d) Forest Fire Detection: Early detection of forest fire can help in minimizing damage. e) River Flood Detection:. Early warnings of floods can be given by monitoring the water level and flow rate. IoT based river flood monitoring system uses a number of sensor nodes that monitor the water level and flow rate sensors.
  • 22. IoT Applications 4) Energy: a) Smart Grids: is a data communication network integrated with the electrical grids that collects and analyze data captured in near-real-time about power transmission, distribution and consumption. Smart grid technology provides predictive information and recommendations to utilities, their suppliers, and their customers on how best to manage power. By using IoT based sensing and measurement technologies, the health of equipment and integrity of the grid can be evaluated. b) Renewable Energy Systems: IoT based systems integrated with the transformers at the point of interconnection measure the electrical variables and how much power is fed into the grid. For wind energy systems, closed-loop controls can be used to regulate the voltage at point of interconnection which coordinate wind turbine outputs and provides power support. c) Prognostics: In systems such as power grids, real-time information is collected using specialized electrical sensors called Phasor Measurment Units(PMUs) at the substations. The information received from PMUs must be monitored in real-time for estimating the state of the system and for predicting failures.
  • 23. IoT Applications 5) Retail: a) Inventory Management: IoT systems enable remote monitoring of inventory using data collected by RFID readers. b) Smart Payments: Solutions such as contact-less payments powered by technologies such as Near Field Communication(NFC) and Bluetooth. c) Smart Vending Machines: Sensors in a smart vending machines monitors its operations and send the data to cloud which can be used for predictive maintenance
  • 24. IoT Applications 6) Logistics: a) Route generation & scheduling: IoT based system backed by cloud can provide first response to the route generation queries and can be scaled upto serve a large transportation network. b) Fleet Tracking: Use GPS to track locations of vehicles in real-time. c) Shipment Monitoring: IoT based shipment monitoring systems use sensors such as temp, humidity, to monitor the conditions and send data to cloud, where it can be analyzed to detect foods spoilage. d) Remote Vehicle Diagnostics: Systems use on-board IoT devices for collecting data on Vehicle operations(speed, RPM etc.,) and status of various vehicle subsystems.
  • 25. IoT Applications 7) Agriculture: a) Smart Irrigation: to determine moisture amount in soil. b) Agricultural IoT applications can help farmers monitor water tank levels in real-time. That, in turn, will make the irrigation process more efficient. c) IoT advancements can also help farmers know how much time and resources a seed takes to fully grow into a vegetable. d) Connected devices in the sector can measure data accurately and thus farmers will be able to decrease costs and increase yields. 8) Health and LifeStyle: a) Health & Fitness Monitoring b) Wearable Electronics
  • 26. IoT Benefits for industry Production Visibility • Connecting machines, tools, and sensors will give engineers and managers a much-needed perspective of the production process. And it will allow employees to automatically track parts as they move through assemblies. • This detailed type of visibility will help identify obstacles that cause manufacturing issues. The gathered data will allow processes to be improved at a faster rate. Higher Workforce Productivity • IoT-enabled tools will allow operators to go through workflows faster, without compromising quality. IoT light kits, for instance, can help operators find the piece they need quicker and reduce their cycle time. • Likewise, using IoT-enabled tools such as torque drivers can increase productivity. It does so by automatically adjusting the tool’s settings according to the performed operation. • All kinds of tools operators use can be connected and thus provide real-time insight into their productivity.
  • 27. IoT Benefits for industry Enhanced Production Cycles • Engineers and management teams will greatly benefit from the industrial application of IoT. • Data collection, previously subject to manual labor such as collecting, aggregating, and analyzing data will all be automated. In time, this will aid to improve production processes. Reduced Costs and Improved Quality • Quality control is crucial, yet quality management systems (QMS) are hard to implement. Industrial IoT, however, can ease the process and even reduce the associated costs. • IoT sensors can replace manual inspections with automatic checks of variables that are critical to the quality. That will cut the time and resources dedicated to QMS. • In addition, environmental sensors can continuously monitor conditions critical to quality and alert prior to any obstacles.
  • 28. IoT Benefits for industry Management Cost Cuts • IoT sensors can be leveraged to cut costs in manufacturing and storage facilities. For instance, smart tracking systems that use barcodes can help manufacturers monitor and optimize the usage of space. • IoT gadgets can also help companies better manage their facilities. The feedback is used to ensure that temperature, humidity, and any other environmental conditions stay within the required range. • Manufacturers can conserve energy, reduce costs, and increase operational efficiency - all by using sensors to monitor machinery. Optimizing Supply Chain • Industries can take advantage of connected sensors that monitor the supply chain and provide real-time information. Those sensors can track inputs, equipment, and products. • RFID tags can be used to track inventory as it moves around the supply chain. The data that is gathered will allow manufacturers to identify interdependencies, material flow, and track manufacturing cycle times.
  • 29. Assignment • Write a short essay on the dangers and criticisms of IoT Adaptation • Work in 3 groups of 4-5 people • Original essays and arguments attract extra marks • Use relevant examples and real life cases • Use 500-800 words. Longer essays will be penalised

Editor's Notes

  1. We mostly think of IoT applications to be at home and perhaps at the office. The 2022 IoT statistics, however, reveal they pop up in manufacturing and other industries as well.
  2. So what about the future IoT trends? 6G cellular networks and satellite-enabled LPWANs are set to connect trillions of devices by 2030. Looks like companies and homeowners will have various options to choose from. Home lighting and factory machinery, for instance, don’t need to use the same connectivity. People should also consider cost, speed, or even safety. 9. There are currently six main categories for IoT wireless tech. (Source: BEHRTECH) They include: LPWANs—provide long-range communication on small, cheap batteries that last years. They aim to support large-scale IoT networks over more significant sites. Cellular (3G/4G/5G)—phone networks needed for calls, internet access, and video streaming, among other applications. However, they are expensive to run and are very power-intensive. Zigbee and other mesh protocols—short-range, wireless, and low power standard using sensor data and nodes. Boasts high data rates but isn’t as power-efficient as LPWAN. Bluetooth and BLE—short-range communication tech enabling data exchange across multiple nodes. A low-power version was invented for small consumer IoT applications. Wi-Fi—not as common in the IoT space due to problems with scalability, coverage, and power use. RFID—known as radio frequency identification, radio waves transmit data from an RFID tag to a reader at a short distance. Commonly used for logistics and retail.
  3. The break down in different regions is as follows: 13.4 in North America 3.1 in South America 9.4 in Western Europe 4.0 in Eastern and Central Europe 1.5 in Africa and the Middle East
  4. Imagine you wake up in the morning, cheerfully greeted by your alarm clock. You get up from your bed and go to the kitchen to find your coffee machine already preparing a fresh cup of coffee.  While you are enjoying your coffee, Alexa reads the newspaper headlines or lists your to-do's from your task manager. All that while, also, adjusting the room temperature just as you like it.  You finish your coffee and breakfast and head to the office in your self-driving car, without a worry that your house was left unlocked. Your smart appliances have taken care of that.  IoT is the network of all things connected that can eventually make this experience a reality.
  5. Internet of things (IoT) emerged as a concept about 20 years ago and is now making headlines around the world. Everyone talks about connectivity, smart devices, real-time data extraction
  6. The short-range wireless ones use Wi-Fi, Bluetooth, and ZigBee (low-power, low data rate, and close proximity decentralized type of wireless network). The long-range wireless ones count on mobile networks such as GPRS, LTE (long-term evolution wireless broadband communication), 4G, 5G, and others.  The wired communication systems use Ethernet cable to connect to the network. Wired connection is a mature technology that is easy to get plugged to. Still, it’s not too practical, which thoroughly limits the possible applications. 
  7. AI enables them to learn from experience, adjust to new inputs and perform complex, nuanced tasks with human-like efficiency (or greater). Its influences stretches across every aspect of our lives. We can only expect AI to become even more impactful in the future.  Machine learning is an example-based system. Devices using ML count on a variety of examples (big amounts of data) to classify, cluster information, make predictions, and recognize patterns. Once the ML algorithm is trained to draw the right conclusions it applies the knowledge to new sets of data.  AI and Machine Learning need large volumes of granular (detailed) and diverse data to be able to find the pattern and learn. And it happens that IoT devices generate a vast amount of data that can be used. That data can build ML models that help IoT devices improve their performance. 
  8. There are no limitations as to what can be connected to the internet of things, so that opens the door to all kinds of ideas. 
  9. Technology is already transforming our homes. Amazon has sold over 100 million Alexa-enabled devices. And the home assistant has been integrated into over 150 hardware devices.  A smart home involves the control and automation of embedded technology. It describes a place of living where all our appliances talk to each other. Lighting, heating, air conditioning, TVs, computers, entertainment systems, laundry machines, security, and camera systems - all examples of IoT devices that communicate with each other and can be controlled remotely.  There’s no denying that IoT home applications are convenient. But there’s more to that - smart homes are energy-efficient, with low operating costs, and able to adapt to meet the changing needs.   We can expect similar benefits if IoT is applied in building automation in offices and other business infrastructure.
  10. Smart Cars Autonomous driving vehicles will soon become part of daily life. Reports predict that connected cars will generate $24 trillion in global revenue by 2025. In order to see connected cars on the road, however, the industry will have to pass rigorous trials to guarantee cars are safe to use.  
  11. Environmental monitoring describes the processes of inspecting and controlling the quality of the environment. The data produced by the monitoring enable governments and businesses to take the necessary actions to improve our well-being.  IoT devices can very successfully monitor water levels, air pollutant concentrations both indoors and outdoors, precipitations, and any other environmental parameter affecting people’s safety.  What’s more, these devices can measure environmental factors such as temperature, humidity, and noise levels. These can affect people’s safety, especially when it comes to working environments.  IoT can be implemented in the waste management of our cities to focus on improving the total efficiency of waste collection and recycling. IoT use cases like route optimization can help reduce fuel consumption while emptying the dumpsters throughout the city.