This document provides an overview of the Internet of Things (IoT). It defines IoT as connected devices that can collect and exchange data without human intervention. It discusses the need for IoT to improve resource utilization and integrate physical systems. The key components that enable IoT are sensors, connectivity, and processes to handle the data. IoT works by ingesting data from connected devices, transmitting it, processing and analyzing the data, and visualizing results. Applications of IoT include smart homes and cities. Challenges include security, scalability, and standardization, but solutions involve open source development and government regulations.
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IOT Presentation on Components, Applications and Challenges
1. DEPARTMENT
COMPUTER
SCIENCE
Topic : Internet of Things ( IOT)
Presented By :
170387 | Hazrat Ullah
170391 | Faizan Mateeullah
Subject : Artificial Intelligence
Section | Bscs ‘C’
Teacher | Maam Hina Khan
2. Table of content
• What is IOT
• Why we need IOT
• Components of IOT
• How IOT works
• How can IOT help ?
• Application
• Future market of IOT
• Challenges
• Solutions
• Conclusion
• References
3. What is IOT ?
internet of Things (IoT) is a system of devices
connected to the Internet with the ability to
collect and exchange data from users or
environment with no human intervention
The device or the ‘thing’ in IoT could be any device
embedded with electronics, software and sensor
like a smart refrigerator, a smart air conditioner,
lights in household, connected security systems or
even a person with a heart monitor or an
automobile.
4. Why we need IOT ?
• Dynamic control of industry and daily life.
• Improves the resource utilization ratio.
• Integrating human society and physical systems.
• Flexible configuration.
• Acts as technology integrator.
• Universal inter-networking.
5. Components of IOT
Components of IoT Smart Systems and Internet of Things are driven by a
combination of :
• Sensors
• Connectivity
• People &
Processes
14. Solutions
Solutions to the challenges Several solutions are proposed
to overcome the problems. Some of them are
Overcoming compatibility issues is a significant IoT
hurdle, but emerging companies are starting to enable
increased interoperability through open-source
development.
Governments and industry bodies need to set
standards and regulations for the various industries to
ensure that data is not misused.
IoT needs strong authentication methods, encrypted
data and a platform that can track irregularities on a
network.
15. Conclusion
• In case of a smart city, IoT makes the AI possible
• Successful implementation could lead to an improved and
sustainable life
• Ability to solve a lot of problems faced by the world today
• AI perspective – Neural networks and deep learning architecture
seem to be one of the best ways to move forward
• Amount of data collected is huge and varied
• Deep Learning architecture brings us closer to the true goal of AI