WHAT IF THINGS START TO THINK?

Muralidhar Somisetty, CTO, Innohabit TechnologiesFor IISc CCE Students , Nov 9th 2016 A Talk on AI in IoT

Source: Cisco IoT Infographic

IoT

Is

No Longer

A Hype

And

Very

Much

Reality

Today

What is Human Perception of Intelligent Things?

Internet of Things Digital Human Artificial Intelligence

A Boon? A Threat?

An Opportunity?

Is Artificial Intelligence anAngel or Demon?

Ethical AI : Effort on to make AI an Angel.

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

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

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.

First “Things” First

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

SENSORS VS ACTUATORS

Sensors : UV, Light, Motion, Sound, Touch, Temperature

Actuators: Hydraulic, Electric, Pneumatic, Mechanical

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

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

Analogy between Human Body and Internet of Things

IoT Smart Devices

IoT Vertical Solutions(Types of IoT)

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

Smart Homes :: Consumer IoT

Safety & Security systems

Energy Conservation

Smart Appliances.

Special Care for Elderly / Differently Abled

Life Simplified with Connected Devices

Smart Villages :: Commercial IoT

Smart Cities::Commercial IoT

Energy Management.

Safety & Security

Waste Management

Traffic Management

Parking Management

Emergency Services

Barcelona – Smart City IoT Example

Connected Transportation :: Commercial IoT

Onboard Diagnostics

Infotainment

Safety Sensors

Remote Management

Smart Car

Industrial IoT

IoT Stacks

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.

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.

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.

“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.”

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.

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.

Branches of Artificial Intelligence

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.”

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16

Startup Product Management

44

Man Vs Machine

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Startup Product Management

45

IoT with AI Applications

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

Consumer IoT :

Smart Assistants

/ ChatBots

AUTONOMOUS CARS

TeslaGoogle IBM

AUTONOMOUS CARS

• Can it bring more discipline in traffic?

• Can it help in easing congestion?

• Can it help in reducing accidents?

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.

Predicting Earthquakes or Natural Calamities…

Getting started to build an IoT App

• Arduino

• Galileo

• Raspberry Pi

• ARM

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

Any More Thoughts? Questions?