Raspberry PI and Arduino-IOT

Master the programming and design of popular open source hardware, build innovative projects. Easily realize your ideas and concepts.

11,000 to 4,989     56% off

Duration - 3 weeks Placement Assistance
10+ projects 1-on-1 mentor

















When?


2 Months project work
20th July 2020

Where?


ONLINE - Save travel time

For Whom It's for?


BE/Btech/
Mtech-CSE/ECE/EEE/ISE/ME.
MCA and BCA





Course
Highlights




An integration of high end laboratory facilities, globally recognized domains and industry oriented expertise.

We have adopted a unique strategy to transform thousands of aspiring engineers with the support of industry professionals, research work, 1000+ live projects with product development exposure.

Training methodology & Delivery

Training is structured in such a way that it is focussed more on building practicle skills required for the industry. Will have online sessions on technology and mini projects as assignments.

600+ hours of skill training

This program is specially designed to build the experience by working on live projects so that student can meet employers requirement easily.

10 mini and 5 Major projects

We cover all the pre-requisites of that business model. What skills you need,what tools are needed and most importantly how much money you need to invest before getting started.

Record placements more than 95%

We have successfully nurtured careers of budding technical talent, growing high in companies like to name a few INTEL, MICROSOFT, IBM,BOSCH, SIEMENS, SAMSUNG, CISCO, Startups.





















Knowledge is of no value unless you put into practice.

Internship Training At Intern Gurukul.

We have adopted a unique strategy to transform thousands of aspiring engineers with the support of industry professionals

Research work
Live projects & Product development exposure
Project Reviews
Unlimited hands-on technical skills embeds professionalism
Self-reliance and strong ethical Values
Competent Industry Ready Engineers
Personal career coaching
Resume shared with 300 + employers

Intern Gurukul invites candidates aiming for promising careers in core technological domains and willing to work for product based companies, Research, innovation and start-ups.



Course Syllabus


Raspberry PI and Arduino-IOT


Download Syllabus

Master the programming and design of popular open source hardware, build innovative projects. Easily realize your ideas and concepts.

Introduction to Arduino

Introduction to Embedded Systems
Understanding an embedded system.
Study of market profile.

Review of Basic Concepts
Overview of basic electronics and digital electronics.
Microcontroller vs. Microprocessor
Common features of Microcontroller.
Comparison between different types of microcontrollers.

Introduction to Arduino
Pin configuration and architecture.
Device and platform features.
Concept of a digital and analog ports.

Optocouplers
Using an Optocoupler
Isolating control and logic circuit

Interfacing DC motors to Arduino
H-Bridge Circuit
Making of power supply and a basic robotic car

Relays
Type of relays.
Working of a magnetic relay.
Controlling Electrical appliances with electromagnetic relays.

Interfacing a 8 bit LCD to Arduino
Fixed one line static message display.
Running message display.
Using the LCD Library of Arduino.

Interfacing a Matrix Keypad to Arduino
Working of a matrix keypad
Using the keypad library to interface with Arduino.

Serial Communication
PWM
Analog inputs and ADC
Interfacing Servo motors to Arduino
Interfacing Stepper Motors to Arduino
Interfacing of a bluetooth Module

Introduction to Raspberry Pi
Projects in Raspberry Pi
Raspberry Pi Hardware
Linux Fundamentals
Various Distributions available on Raspberry Pi
Getting distributions for Raspberry Pi on a SD card and booting Pi.
Getting the Essential Software's
Getting started with python and python first code
Raspberry Pi GPIO's.

Python 3 Basics
Python 3 Advanced Concepts
Setting Up and using Raspberry Pi
Scientific Python Ecosystem
Basics of NumPy and Matplotlib
Image Processing
Basics of Machine Learning and Data Science
Hardware and GPIO of Raspberry Pi
LED project with Raspberry Pi GPIO

LED interfacing
Communication program
LCD interface program
Analog to Digital conversion(I2C)
Sensors interfacing
GSM interfacing
Camera
IOT
Video Streaming

IOT-Raspberry Pi based air quality monitoring project.
IOT- Raspberry Pi based home automation project.
IOT based industrial automation.
Raspberry pi based cat feeder using IOT.
Raspberry Pi based IOT gateway.

PROJECT WORK
Line Follower Robot.
Bomb diffusion robot.
Fire fighting Robot
RF based robot.
GSM controlled car with stereo and head lights.
LED Display board.
Anti collision robot.
RF controlled robot.
RFID based attendance system.
RFID based home security system
Intelligent home locking system.
Intelligent water level management system.
Home automation using RFID.
Real time clock based home automation.

Project Details


Penalty charging for unauthorized car parking area



Increase in number of vehicles in urban areas, and people wants to park their vehicles in an unauthorized areas, finding a free parking space in urban cities especially during peak hours is more or less impossible, in many cases. Here we propose a system that allows for automatic illegal parking detection and alerting.

Raspberrypi for parking slot management through cloud



Parking spaces are very important in metropolitan cities. Since the number of car buyers have substantially increased in these years. Therefore there is a urgent need to develop a system that will manage the car parking. In short there is a need I to develop a system which directly indicates which lane is vacant.

Raspberrypi for coalmine safety



This paper designs a monitoring system for coal mine safety based on IOT wireless network. The sensor nodes will send the collected data to an embedded network controller based on Raspberry pi through multi-hop method. And then the controller receives the data and sends them to the ground PC by the conversion of http protocol.

Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications.



We are developing a Machine Learning project to predict fire detection using video surveillance using jupyternotebook. We are using Deep Neural Network algorithms for fire detection.

Cost:  4,989/-Enroll Now


20+ AMAZING Industry Experts and Mentors



Testimonials



Top Companies Hiring This Talent