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What if Things Start to Think - Artificial Intelligence in IoT


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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.

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What if Things Start to Think - Artificial Intelligence in IoT

  1. 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. 2. Source: Cisco IoT Infographic IoT Is No Longer A Hype And Very Much Reality Today
  3. 3. What is Human Perception of Intelligent Things? Internet of ThingsDigital Human Artificial Intelligence A Boon? A Threat? An Opportunity?
  4. 4. Is Artificial Intelligence an Angel or Demon?
  5. 5. Ethical AI : Effort on to make AI an Angel.
  6. 6. Digital Human : No more Sci-Fi. Looks Familiar?
  7. 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. 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. 9. First “Things” First
  10. 10. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)
  11. 11. SENSORS VS ACTUATORS Sensors : UV, Light, Motion, Sound, Touch, Temperature Actuators: Hydraulic, Electric, Pneumatic, Mechanical
  12. 12. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)
  13. 13. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)
  14. 14. Analogy between Human Body and Internet of Things
  15. 15. IoT Smart Devices
  16. 16. IoT Vertical Solutions (Types of IoT)
  17. 17. Reference: Dr. Mazlan Abbas (IoT Evangelist / Speaker)
  18. 18. Smart Homes :: Consumer IoT  Safety & Security systems  Energy Conservation  Smart Appliances.  Special Care for Elderly / Differently Abled Life Simplified with Connected Devices
  19. 19. Smart Villages :: Commercial IoT
  20. 20. Smart Cities:: Commercial IoT Energy Management. Safety & Security  Waste Management  Traffic Management  Parking Management  Emergency Services Barcelona – Smart City IoT Example
  21. 21. Connected Transportation :: Commercial IoT Onboard Diagnostics  Infotainment  Safety Sensors  Remote Management Smart Car
  22. 22. Industrial IoT
  23. 23. IoT Stacks
  24. 24. 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.
  25. 25. 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.
  26. 26. 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.
  27. 27. “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.”
  28. 28. 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.
  29. 29. 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.
  30. 30. Branches of Artificial Intelligence
  31. 31. 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.”
  32. 32. 14/05/2016 Startup Product Management 44 Man Vs Machine
  33. 33. 14/05/2016 Startup Product Management 45
  34. 34. IoT with AI Applications
  35. 35. 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.
  36. 36. 48 Consumer IoT : Smart Assistants / ChatBots
  37. 37. AUTONOMOUS CARS Tesla Google IBM
  38. 38. AUTONOMOUS CARS • Can it bring more discipline in traffic? • Can it help in easing congestion? • Can it help in reducing accidents?
  39. 39. 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.
  40. 40. Predicting Earthquakes or Natural Calamities…
  41. 41. Getting started to build an IoT App
  42. 42. • Arduino • Galileo • Raspberry Pi • ARM
  43. 43. 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
  44. 44. Any More Thoughts? Questions?