Implement iot using python

Apr 18, 2019Download as pptx, pdf

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Fabrikam presents an overview of using Python for Internet of Things (IoT) applications, highlighting the importance of Python due to its popularity and extensive libraries. The document details essential Python packages such as MRAA, Sockets, MySQLdb, NumPy, Matplotlib, Pandas, OpenCV, Tkinter, TensorFlow, and Paho-MQTT, which facilitate various IoT development tasks. Overall, Python is emphasized as a powerful programming language suitable for real-time analytics and processing in IoT solutions.

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FABRIKAM
IMPLEMENT IOT USING PYTHON
P y t h o n & I n t e r n e t o f T h i n g s
Presented By :
IoTIAN Innovator

FABRIKAM 2
TOPICSTO BE COVERED
ABOUT IoT
WHY WE USED PYTHON In IoT?
PYTHON package

FABRIKAM
About IoT
=
The recipe for the internet of things is very simple. A
'thing', which could literally be anything, is fitted with an
embedded system which connects it to the internet, in other
words, it has its own IP address.

FABRIKAM
Why We used Python
In IoT?
4
IoT occupies a place of importance in Wireless
Sensor Networks, Data Analytics, Cyber
Physical Systems, Big Data and Machine
Learning. It is also very focused on real time
analytics and processes. So, for the
development of an IoT solution, one would need
a programming language which is PYTHON.
Because PYTHON is most popular & has all the
facility to do all these things using his libraries.

FABRIKAM 6
ImplementIoTUsing PYTHON
mraa
Sockets
Mysqldb
Numpy
Matplotlib
Pandas
Opencv
Tkinter
Tensorflow
Paho-mqtt
W e w i l l b e d i s c u s s i n g t h e P Y T H O N p a c k a g e s w h i c h w e u s e d f o r
d e v e l o p i n g I o T A p p l i c a t i o n i n P Y T H O N .

FABRIKAM
mraa
This library is used in microcontrollers
like: IntelEdition, Radpberry pi. Being a
high level library, reading from and writing
to pins is a one line affair, and the library
also provides support for communication
protocols such as I2C, UART and SPI.

FABRIKAM 8
Socket
sockets is a package which facilitates
networking over TCP/IP and UDP using
Python. One of the more interesting uses of
sockets, is that one can build their own
communication protocol using this package
as the base.

FABRIKAM 9
mysqldb
A database is a no-brainer when it comes
to most IoT applications. For something
whose sole purpose is to send data to the
internet, for generating some prediction
using machine learning .

FABRIKAM 10
numpy
This package is use for scientific computing
using python. very similar to MatLab,
but much lighter. The feature I use most is to
read sensor data in bulk from my databases
and work on them using the inbuilt
functions.

FABRIKAM 11
matplotlib
Data visualization is one of the most
fundamental operations that can be
performed. It looks pretty impressive when
you convert a huge list of numbers to a
concise graph which can be understood
intuitively. matplotlib provides a number
of different styles of graphs that can be
plotted using local data.

FABRIKAM 12
pandas
pandas is a package dedicated towards
data analysis. It is in essence, a local
alternative to using SQL databases which
is more suited to dealing with data as it is
built on numpy.

FABRIKAM 13
opencv
Opencv is a Python port of the very
successful C library for image processing.
It contains high-level variants of familiar
image processing functions which make
photo analysis much easier. The big
brother of signal processing, image
processing.

FABRIKAM 14
tkinter
Tkinter is a GUI development library
which comes bundled in with all
distributions of Python. This is extremely
useful in situations such as functionality
testing or repeated executions of the same
code.

FABRIKAM 15
tensorflow
This library is also used for applying ML to
IoT Objects. This is a very useful library to
have if you deal with a lot of non linear
datasets or work extensively with decision
trees and neural networks.

FABRIKAM 16
paho-mqtt
This library is used for fast communication
using MQTT protocol in
PYTHON. MQTT requests can be made
directly within Python, without any
additional setup to be done. Especially
useful in the prototyping stage.

FABRIKAM
https://www.element14.com/community/groups/internet-
of-things/blog/2017/02/17/iot-with-python-essential-
packages
https://in.pycon.org/2018/
17
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Russia is one of the most aggressive nations when it comes to state coordinated cyberattacks — and Ukraine has been at the center of their crosshairs for 3 years. This report, provided the State Service of Special Communications and Information Protection of Ukraine contains an incredible amount of cybersecurity insights, showcasing the coordinated aggressive cyberwarfare campaigns of Russia against Ukraine. It brings to the forefront that understanding your adversary, especially an aggressive nation state, is important for cyber defense. Knowing their motivations, capabilities, and tactics becomes an advantage when allocating resources for maximum impact. Intelligence shows Russia is on a cyber rampage, leveraging FSB, SVR, and GRU resources to professionally target Ukraine’s critical infrastructures, military, and international diplomacy support efforts. The number of total incidents against Ukraine, originating from Russia, has steadily increased from 1350 in 2021 to 4315 in 2024, but the number of actual critical incidents has been managed down from a high of 1048 in 2022 to a mere 59 in 2024 — showcasing how the rapid detection and response to cyberattacks has been impacted by Ukraine’s improved cyber resilience. Even against a much larger adversary, Ukraine is showcasing outstanding cybersecurity, enabled by strong strategies and sound tactics. There are lessons to learn for any enterprise that could potentially be targeted by aggressive nation states. Definitely worth the read!

Supporting the NextGen 911 Digital Transformation with FMESafe Software

Next Generation 911 involves the transformation of our 911 system from an old analog one to the new digital internet based architecture. The evolution of NG911 opens up a host of new opportunities to improve the system. This includes everything from device based location, to real time text. This can improve location accuracy dramatically as well as provide live updates from the citizen in need along with real time sensor updates. There is also the opportunity to provide multi-media attachments and medical records if the end user approves. This digital transformation and enhancements all require the support of new NENA and CRTC standards, along with integration across a variety of data streams. This presentation will focus on how FME has supported NG911 transformations to date, and how we are positioning FME to support the enhanced capabilities to come. This session will be of interest to emergency services, municipalities and anyone who may be interested to know more about how emergency services are being improved to provide more accurate, localized information in order to improve the speed and relevance of emergency response and ultimately save more lives and provide better outcomes for those in need.

FME for Good: Integrating Multiple Data Sources with APIs to Support Local Ch...Safe Software

Have-a-skate-with-Bob (HASB-KC) is a local charity that holds two Hockey Tournaments every year to raise money in the fight against Pancreatic Cancer. The FME Form software is used to integrate and exchange data via API, between Google Forms, Google Sheets, Stripe payments, SmartWaiver, and the GoDaddy email marketing tools to build a grass-roots Customer Relationship Management (CRM) system for the charity. The CRM is used to communicate effectively and readily with the participants of the hockey events and most importantly the local area sponsors of the event. Communication consists of a BLOG used to inform participants of event details including, the ever-important team rosters. Funds raised by these events are used to support families in the local area to fight cancer and support PanCan research efforts to find a cure against this insidious disease. FME Form removes the tedium and error-prone manual ETL processes against these systems into 1 or 2 workbenches that put the data needed at the fingertips of the event organizers daily freeing them to work on outreach and marketing of the events in the community.

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Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207

Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.

Data Validation and System InteroperabilitySafe Software

“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/from-enterprise-to-makers-driving-vision-ai-innovation-at-the-extreme-edge-a-presentation-from-sony-semiconductor-solutions/ Amir Servi, Edge Deep Learning Product Manager at Sony Semiconductor Solutions, presents the “From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge” tutorial at the May 2025 Embedded Vision Summit. Sony’s unique integrated sensor-processor technology is enabling ultra-efficient intelligence directly at the image source, transforming vision AI for enterprises and developers alike. In this presentation, Servi showcases how the AITRIOS platform simplifies vision AI for enterprises with tools for large-scale deployments and model management. Servi also highlights his company’s collaboration with Ultralytics and Raspberry Pi, which brings YOLO models to the developer community, empowering grassroots innovation. Whether you’re scaling vision AI for industry or experimenting with cutting-edge tools, this presentation will demonstrate how Sony is accelerating high-performance, energy-efficient vision AI for all.

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Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software

Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection. To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses. The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency. This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects

High Availability On-Premises FME Flow.pdfSafe Software

FME Flow is a highly robust tool for transforming data both automatically and by user-initiated workflows. At the Finnish telecommunications company Elisa, FME Flow serves processes and internal stakeholders that require 24/7 availability from underlying systems, while imposing limitations on the use of cloud based systems. In response to these business requirements, Elisa has implemented a high-availability on-premises setup of FME Flow, where all components of the system have been duplicated or clustered. The goal of the presentation is to provide insights into the architecture behind the high-availability functionality. The presentation will show in basic technical terms how the different parts of the system work together. Basic level understanding of IT technologies is required to understand the technical portion of the presentation, namely understanding the purpose of the following components: load balancer, FME Flow host nodes, FME Flow worker nodes, network file storage drives, databases, and external authentication services. The presentation will also outline our lessons learned from the high-availability project, both benefits and challenges to consider.

Enabling BIM / GIS integrations with Other Systems with FMESafe Software

Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes. To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.

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Graph theory is a well-known concept for algorithms and can be used to orchestrate the building of multi-model pipelines. By translating tasks and dependencies into a Directed Acyclic Graph, we can orchestrate diverse AI models, including NLP, vision, and recommendation capabilities. This tutorial provides a step-by-step approach to designing graph-based AI model pipelines, focusing on clinical use cases from the field.

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