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Iot Tech Innovators: Embedded Systems For A Smarter Future

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Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.88 GB | Duration: 3h 5m

IoT and Embedded Systems

What you’ll learn
The course aims to provide exposure to the applications of IoT in smart cities and industrial applications
It aims to train the students to the basic concepts of the Embedded C.
It aims to train the students to the basic concepts of the Controller.
This course is designed to give the students hands-on experience with the Software and Hardware concepts.

Requirements
Understanding of Ohm’s Law, resistors, capacitors, and voltage/current concepts is recommended.
Enthusiasm for working with hardware and learning embedded systems.

Description
This course provides a comprehensive introduction to the concepts and applications of Internet of Things (IoT) and Embedded Systems. Participants will explore the fundamental principles of embedded systems design, IoT architecture, and the integration of hardware and software to create intelligent devices.Course Outcome: After completion of the course, the student will be able toUnderstand the basic concepts of sensors and transducers.Understand basics of embedded system and different IoT boards.Apply basic operations and programming techniques of IoT devices.Apply smart technology knowledge through case studies.List of Experiments (Indicative & not limited to)1. Understanding the Architecture and Pin Configuration of ESP8266 and Arduino Boards.2. Hands-On Introduction to commonly used real world IoT Sensors.3. Analyze Digital signal data acquisition using Arduino and ESP8266.4. Explore Digital signal generation using Arduino and ESP8266.5. Analyze Analog signal data acquisition using Arduino.6. Explore Analog signal generation using Arduino.7. Real-Time Data Logging Using ESP8266 and Arduino.8. Designing a Lighting Control System using LDR.9. Designing a Multi-Sensor Alert System Using Touch, IR, PIR and Arduino.10. Object Detection Using Ultrasonic Sensors with Arduino and ESP.Beyond Syllabus:11. Real-Time Data Logging Using ThingSpeak with Arduino.12. Building IoT Applications with Blynk: Monitoring Temperature and Humidity with DHT11 Sensor.13. Building IoT Applications with Blynk: Smart Home Automation Using ESP8266 and Blynk.14. Building a Soil Health Monitoring system using NPK sensor.15. Designing Water Quality Monitoring System.

Overview
Section 1: Introduction

Lecture 1 Intro

Section 2: Simulation Using TINKERCAD

Lecture 2 Introduction to TINKER CAD

Lecture 3 Digital Signal Acquisition Simulation using TINKERCAD

Lecture 4 Digital Signal Generation Simulation using TINKERCAD

Lecture 5 Ultrasonic Sensor HC-SR04 Interfacing with Arduino Uno for Distance Measurement

Lecture 6 Interfacing MQ2 Gas Sensor with Arduino Uno for Smoke and Gas Detection

Lecture 7 Interfacing DHT11 Temperature and Humidity Sensor with Arduino Uno

Section 3: “Introduction to Arduino: Empowering Your Creative Projects”

Lecture 8 Introduction to Arduino UNO: A Beginner’s Guide

Lecture 9 Download and Install Arduino IDE: A Step-by-Step Guide

Lecture 10 Generating a Digital Signal Using Arduino

Lecture 11 Acquiring a Digital Signal Using Arduino

Lecture 12 Blinking an LED with Arduino: A Simple Project

Lecture 13 Acquiring and Generating Digital Signals Using Arduino

Lecture 14 Acquiring an Analog Signal Using Arduino

Lecture 15 Acquiring Analog Voltage Using Arduino

Lecture 16 Generating PWM Signals Using Arduino

Lecture 17 Understanding Pull-Up Resistors: Usage and Applications in Arduino Circuits

Lecture 18 Understanding Pull-Down Resistors: Usage and Applications in Arduino Circuits

Lecture 19 Fading an LED with Arduino: Creating Smooth Brightness Transitions

Lecture 20 Interfacing Touch Sensors with Arduino: A Guide to Touch-Activated Projects

Section 4: “IoT Development with Blynk: Building Smart Applications”

Lecture 21 IoT Projects Using NodeMCU and Blynk App: A Comprehensive Guide

Lecture 22 Getting Started with Blynk 2.0: Enhancing IoT Projects

Section 5: “Advanced ChatGPT-Based Programming and Data Logging Techniques”

Lecture 23 Data Recording Using Arduino: Techniques and Applications

Lecture 24 Arduino Programming with ChatGPT: Generating Code and Solutions

Engineering students specializing in electronics, computer science, or related fields.,Makers and hobbyists passionate about building IoT devices.,Researchers and academics focused on IoT applications.


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