Artificial intelligence will be functionally necessary to wield the vast number of connected “things” online, and will be even more important in making sense of an almost endless sea of data streamed in from these devices.

1. WHAT IF THINGS START TO THINK?
Muralidhar Somisetty, CTO, Innohabit TechnologiesFor IISc CCE Students , Nov 9th 2016 A Talk on AI in IoT

2. Source: Cisco IoT Infographic
IoT
Is
No Longer
A Hype
And
Very
Much
Reality
Today

3. What is Human Perception of Intelligent Things?
Internet of ThingsDigital Human Artificial Intelligence
A Boon?
A Threat?
An Opportunity?

4. Is Artificial Intelligence an
Angel or Demon?

5. Ethical AI : Effort on to make AI an Angel.

6. Digital Human : No more Sci-Fi. Looks Familiar?

7. Let us go through this step-by-step
 What is IoT?
 Core Elements of IoT
 IoT Smart Devices (Examples)
 IoT Vertical Applications (Examples)
 How does IoT Stack look like?
 What is AI? ML Vs DL Vs NN
 Why AI is important in IoT?
 Applications with IoT+AI scenarios
 How to get started?
 What Frameworks are available?
 Conclusion

8. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)
The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines,
objects, animals or people that are provided with unique identifiers and the ability to transfer data over a
network without requiring human-to-human or human-to-computer interaction.

9. First “Things” First

10. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)

11. SENSORS VS ACTUATORS
Sensors : UV, Light, Motion, Sound, Touch, Temperature
Actuators: Hydraulic, Electric, Pneumatic, Mechanical

12. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)

13. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)

14. Analogy between Human Body and Internet of Things

15. IoT Smart Devices

24. IoT Vertical Solutions
(Types of IoT)

25. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)

26. Smart Homes :: Consumer IoT
 Safety & Security systems
 Energy Conservation
 Smart Appliances.
 Special Care for Elderly /
Differently Abled
Life Simplified with Connected Devices

27. Smart Villages :: Commercial IoT

28. Smart Cities::
Commercial IoT
Energy Management.
Safety & Security
 Waste Management
 Traffic Management
 Parking Management
 Emergency Services
Barcelona – Smart City IoT Example

29. Connected Transportation :: Commercial IoT
Onboard Diagnostics
 Infotainment
 Safety Sensors
 Remote Management
Smart Car

30. Industrial IoT

31. IoT Stacks

33. 1. Operating system – Bare Metal, Embedded RTOS
2. Hardware abstraction – a software layer that enables
access to the hardware features of the MCU, such as
flash memory, GPIOs, serial interfaces, etc.
3. Communication support – drivers and protocols allowing
to connect the device to a wired or wireless protocol like
Bluetooth, Z-Wave, Thread, CAN bus, MQTT, CoAP, etc.,
and enabling device communication.
4. Remote management – the ability to remotely control
the device to upgrade its firmware or to monitor its
battery level.

34. 1. Operating system – typically a general purpose operating system
such as Linux.
2. Application container or run-time environment To run application
code, and to allow the applications to be dynamically updated. For
example, a gateway may have support for Java, Python, or Node.js.
3. Communication and Connectivity – To connect with different
devices (e.g. Bluetooth, Wi-Fi, Z-Wave, ZigBee). IoT Gateways also
need to connect to different types of networks (e.g. Ethernet,
cellular, Wi-Fi, satellite, etc.…) and ensure the reliability, security,
and confidentiality of the communications.
4. Data management & Messaging – local persistence to support
network latency, offline mode, and real-time analytics at the edge,
as well as the ability to forward device data in a consistent manner
to an IoT Platform.
5. Remote management – the ability to remotely provision, configure,
startup/shutdown gateways as well as the applications running on
the gateways.

35. An IoT Cloud Platform typically operates on a cloud
infrastructure (e.g. OpenShift, AWS, Microsoft Azure, Cloud
Foundry) or inside an enterprise data center.
1.Connectivity and Message Routing – IoT platforms need to
be able to interact with very large numbers of devices and
gateways using different protocols and data formats, but then
normalize it to allow for easy integration into the rest of the
enterprise.
2.Device Management and Device Registry – a central registry
to identify the devices/gateways running in an IoT solution and
the ability to provision new software updates and manage the
devices.
3.Data Management and Storage – a scalable data store that
supports the volume and variety of IoT data.
4.Event Management, Analytics & UI – scalable event
processing capabilities, ability to consolidate and analyze data,
and to create reports, graphs, and dashboards.
5.Application Enablement – ability to create reports, graphs,
dashboards, … and to use API for application integration.

36. “It is the intelligence of machines and the branch of computer science that aims to create it. It
is the study and design of intelligent agents, where an intelligent agent is a system that
perceives it environment and takes actions to maximize the chances of success.”

37. Why is AI important in IoT Context?
Artificial intelligence will be
functionally necessary to wield the
vast number of connected “things”
online, and will be even more
important in making sense of an
almost endless sea of data streamed
in from these devices.

38. Why is AI important in IoT Context?
Artificial Intelligence provides us the framework and tools to go beyond trivial
real-time decision and automation use cases for IoT.

39. Branches of Artificial Intelligence

40. A subfield of computer science (CS) and artificial intelligence (AI) that deals with the construction and
study of systems that can learn from data, rather than follow only explicitly programmed instructions.”

44. 14/05/2016
Startup Product Management
44
Man Vs Machine

45. 14/05/2016
Startup Product Management
45

46. IoT with AI Applications

47. Home Automation: Autonomous Vacuum Cleaners
• Learns Home Layout and Remembers It.
• Adapts to Different Surfaces or New Items
• Improvises on movement pattern for efficiency
• Knows when to recharge and automatically docks itself
• Smart IoT Device controlled via remote Mobile App
• Piezoelectric , Optical Onboard Sensors
• Employs Machine Learning to Adapt and Improvise.

48. 48
Consumer IoT :
Smart Assistants
/ ChatBots

49. AUTONOMOUS CARS
Tesla
Google
IBM

50. AUTONOMOUS CARS
• Can it bring more discipline in traffic?
• Can it help in easing congestion?
• Can it help in reducing accidents?

53. Think of Ideas where devices do not just sense , but can take an action or communicate to
other devices based on intelligence built into it.
Public Safety : CCTV Cameras that can detect anomalies (with deep learning techniques) and
notify police pre-empting a terrorist attack.
Healthcare: Smart Sensors that predict a heart attack using ML/DL techniques and notifies
healthcare personnel pre-empting a heart attack.
Disaster Management: Sensors / Weather data work in concert to predict a natural calamity
and notify to personnel for preventive actions to manage the disaster.

54. Predicting Earthquakes or Natural Calamities…

55. Getting started to build an IoT App

57. • Arduino
• Galileo
• Raspberry Pi
• ARM

61. Additional Pointers
IoT with Arduino (Hands-on Tutorial)
Project JARVIS (AI Home Automation and Assistant) - AI on Arduino
IoT based Raspberry Pi home automation using IBM Bluemix
How to Use Xively Platform in an IoT Project - DZone IoT
Android Programming for IoT (Brillo)
Top 15 Frameworks for AI
Machine Learning Algorithms – Examples
IoT with AI – Top Company & Project List

62. Any More Thoughts? Questions?