Workshop on CONNECTING THE UNCONNECTED WITH PYTHON. These Slides cover Basics concepts of IoT, such as Things, Networks and People involved in the Technology, the Internet of Things. And also it'll describe the role of Python Programming Language in IoT.

1. CONNECTING THE
UNCONNECTED
WITH PYTHON

2. Hii there !!!
I'm MUTHUKUMARAN SINGARAVELU
WHOAMI?
Programming Lover
Someone try to learn new thing everyday

3. Table Of Content
Internet of Things
Common Starter
Kits
IoT Architecture
IoT - Use Cases
Where Python is
Applicable?

4. INTERNET OF
THINGS

5. INTERNET OF THINGS
THINGS CONNECTIVITY PEOPLE &
PROCESS

6. Things
SENSORS
COMPUTING POWER
ACTUATORS
NETWORK INTERFACE
POWER SOURCE

7. CONNECTIVITY
PAN
LAN
WAN
MAN
ETHERNET
NFC
6LOwpan
ZIGBEE
Z-WAVE
BLUETOOTH
WIFI
WIMAX
2G - GSM/EDGE, CDMA,EVDO
3G - GPS/GPRS
Cellular 4G - LTE
LTE Advanced

8. PEOPLE & PROCESS

9. How People Do IoT?

10. Common Starter Kits

11. Sketch

12. MicroPython

13. Common Starter Kits

14. What Is IoT Architecture?

15. IoT architecture consists of the devices, network structure,
and cloud technology that allows IoT devices to communicate
with each other. A basic IoT architecture consists of three
layers:
Perception (the sensors, gadgets, and other devices)
Network (the connectivity between devices)
Application (the layer the user interacts with)

16. Components of IoT Architecture

17. Layers of IoT Architecture

18. IoT Architecture
Overview of the IoT Architecture

19. MQTT

20. Message Queuing Telemetry Transport

21. low-bandwidth
high-latency environments
it is an ideal protocol for machine-to-machine (M2M)
communication

25. IoT Architecture - Use Cases

26. IoT in Healthcare
Real-time patient health monitoring and alerts through IoT
health sensors.
Equipment and inventory tracking with GPS/Bluetooth-
enabled sensors.
Preventive maintenance with IoT sensors that automatically
create work orders.
Remote surgeries through IoT-enabled robotic equipment.

27. IoT in Manufacturing
Measuring change over time through short-range IoT sensors.
Developing demand forecasts by monitoring production rate in real
time.
Tracking the cycle time to understand your baseline efficiency.
Monitoring fluid levels, conductivity, and other data points for
preventive maintenance.

28. IoT in Agriculture
Monitoring soil temperature to plant crops as early as possible.
Using autonomous tractors and farmer equipment powered by GPS.
Finding the root cause of machinery issues with root cause analysis
via a mobile app.
Automatically adjusting water, temperature, and humidity levels for
indoor growing operations.

29. Programming Languages for IoT

31. Why Choose Python in IoT?

32. Low entry threshold
Well-designed
Easy-to-read syntax
Portability

33. Where Python is Applicable?

34. Application Side

35. Data Processing & Machine Learning

36. Python Packages/Libraries
used for IoT?

37. sockets
mysqldb
numpy
matplotlib
pandas
opencv
tkinter
tensorflow
requests
paho-mqtt etc..,