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Learn Internet of Things(IOT) in Fun and Practical way

Name: Learn Internet of Things(IOT) in Fun and Practical way
Rating: 4.4 (15 reviews)

Learn IOT step by step. And learn to make real time Projects with ESP32 Camera Module.

Created byTechy chariots

Last updated 12/2021

English

English [Auto],

What you'll learn

How to get started with ESP32 CAM Module.
you will understand about OV2640 camera and its settings.
you will learn to make live video streaming with local IP.
you will learn to make live video streaming with Blynk application platform.
you will learn how to make Face and Eye recognition based projects.
Definitely you will get idea about SD card feature and how to use for projects.
you will learn to take picture with ESP32 CAM module and how to store in SD card.
how to send emails using SMTP server and ESP32 camera module with image attachments.

Course content

9 sections • 39 lectures • 1h 7m total length

Course preview2:47
Acquire hands-on skills to build iot projects with the DSP 32 camera and audio software, program the module, and implement image capture, video streaming with local APIs, and face detection.
Introduction0:21
Discover the hardware and software used to set up the IoT development environment for upcoming projects and prepare for the course quiz.
Hardware(ESP32 CAM) explained3:51
Explore the ESP32 cam hardware, including USB cameras, microSD storage, Wi-Fi and Bluetooth, and low-power 32-bit processing for motion-triggered image capture.
Explanation of Arduino software2:29
Learn to use Arduino software to program the USB 32 camera module with audio software, then download, install, and explore the five functions: file, edit, sketch, tools, and help.
Setup for ESP32 CAM in Arduino2:12
Learn how to set up the ESP32 CAM in Arduino by installing the ESP32 board via board manager and selecting the correct port and upload settings.
Connection with FTDI0:53
Explore how to use a six-pin FTDI module to program microcontrollers without USB interfaces, and discuss pin connections for ESP devices.
Connection with Arduino uno0:47
Learn to connect and program the sb 32 cam with arduino uno by wiring voltage and ground pins and entering programming mode for IoT projects.
Quiz1

Introduction to the section1:26
Explore practical IoT-enabled live video streaming on a local network using a camera module and access it via a local IP address in your browser.
Live stream coding and explanations6:25
Join the live stream coding session as it explains setting up a USB P32 camera, defining camera index and pins, configuring WiFi, and accessing the IP on a web server.
Live video streaming Demo on ESP32 CAM1:46
Explore live video streaming on the ESP32 CAM by connecting via a local IP address seen in the serial monitor. Access the camera functions in your browser.

Introduction to the section1:06
Explore seamless video streaming with the iottie platform for IoT projects, and learn how to create a new project and connect via a token for Android or iOS apps.
ESP32 CAM - Code explained5:40
Follow the ESP32 cam code walkthrough to wire the camera, pins header, and network credentials, then upload the code and verify connections via the serial monitor.
Blynk app setup for video streaming0:44
Install the Blynk app, create a new project with a chosen name, enable the project token, set a local IP address, select video streaming, and add the streaming widget.
Blynk video streaming - Demo1:09
See live video streaming demonstrated in the Blink application via the Blynk video streaming demo.
Blynk video streaming - Demo 21:27
Explore how Blynk video streaming differs based on the IP address, building on a previous project to show how the goal changes.

Introduction to the section0:27
This section teaches how to capture images with a camera module and store them on a micro SD card, up to 4 gb, for an IoT project.
Lab 3 - Taking photo using ESP32 CAM and store it in SD card - Code2:51
Lab 3 demonstrates taking a photo with the esp32 cam and saving JPEGs to a micro sd card, guided by the code, libraries, camera settings, and wiring steps.
Lab 3 - Demo0:33
Discover how to capture reference images with the P32 camera using a simple methodology, demonstrated in Lab 3 for practical Internet of things applications.

Section introduction0:20
Visit section introduction to learn about deficit reduction and recognition, review face detection from the first video, and preview the code and demo in upcoming videos.
Face and eye recognition project explained0:53
Discover how face detection and recognition work with Python and the open tv library to enable AI based recognition, plus livestreaming and local IP setup.
Face and Eye recognition - code3:10
Upload the face and eye recognition code to the little rover module, configure camera resolution and wifi credentials, connect a USB camera, and obtain the local IP for streaming.
Installing Python software0:40
Install Python software and required libraries via command prompt, following a browser-based download and an easy, permission-prompted installation that completes automatically.
Installing required python libraries in command prompt(cmd)0:22
Install the required python libraries using the command prompt to set up IoT projects and run Python code.
Face and Eye recognition project - Demo2:30
Explore a face and eye recognition demo using Python, configure local IP addresses, and run a module to observe face recognition over a local IP network.

Section introduction0:45
learn to send images from the ESP32 cam to email using a simple voiceover, with an example that captures a photo on trigger and emails it as an attachment.
Explanation about Mailclient library and installation3:05
Learn how the mailclient library works and how to install it in your project to send emails with or without attachments, using SMTP.
Project code - Explanation3:11
Explore the project code that captures a photo, connects to the local network, and emails the image using SMTP settings, with sender and recipient emails and subject configuration.
Sending taken images via email using SMTP and ESP32 CAM Module - Demo3:12
Demonstrates sending images captured by the ESP32 cam module via email using SMTP, starting with secure app settings and network connection to enable continuous email delivery.

Section introduction0:21
Learn how to take pictures using News Feed, the little camera, and the Blink iOttie Platform in this section, building on the Blink Eye replatforming preview.
Blynk application setup1:05
Set up the Blynk application by creating a new project, naming it, selecting a device, and obtaining the project token, then add a button widget and an image gallery widget.
Code explanations for project 61:34
Explain code for project 6 in the IoT course, covering wifi and blink libraries, camera initialization, take photo function, credentials and token setup, and image transfer to the blink app.
Demo - Taking photo with Blynk IOT platform1:11
Learn how to take a photo using the Blynk IoT platform, input the IP address, press the button, and view the resulting image gallery.

Section introduction0:28
Set up Telegram boards to receive images captured by the 32 cam and send those images to the Telegram application. Learn the code and steps needed to implement this project.
Telegram app setup for the project.1:28
Set up a Telegram bot for the IoT project by finding the bot in Telegram, starting the chat, providing a name, and retrieving the token to paste into the code.
Installing required Telegram libraries.2:01
Install required telegram libraries using the library manager, including R.E.M., Jason, and Universal KG, then download and re-import the universal telegram bot library from GitHub.
Project code - explained.1:05
Include libraries such as wifely and Telegram, declare wifi credentials and Telegram token, initialize multi-camera pins, and continuously send captured images to Telegram every second.
Serial monitor result0:36
Monitor the serial output of an uploaded project end-to-end with a telegram connection, and send images to telegram when a photo command is issued.
Demo - Sending captured images to Telegram.2:37
Demonstrate sending captured images to telegram from an IoT setup, send flash commands to control a flashlight, and review photos captured with a USB camera.

Requirements

Passion with own interest. Nothing else needed.
All are explained from scratch.

Description

About this course :

welcome to this amazing project oriented course. this course is all about ESP32 CAM module. through this course you can make your own projects using this module. What ever needed to make projects is explained in this course.

First of all this course is fully practical oriented. This course covers all the basics of ESP32 CAM module and Arduino software which is used to program the ESP32 CAM module. also i explained about the FTDI module.

Why this ESP32 CAM ?

you may seen all the IOT courses. those are made with ESP8266 and ESP32. using these device we can only do some advanced things. also it is concerned in this course, because without these devices we cant learn basics. but, these device do not have camera and SD card features. this is advantage of this module over ESP8266 and ESP32.

What we can do with ESP32 CAM ?

Using this camera feature, we can create projects like spycam, security system, door lock system based on face recognition, and etc. we can do projects wherever need face recognition for example: face recognition based attendance system. also we can recognise eye, text, objects and so on. And using SD card feature, we can save taken images and videos. we do not need to bother about storage.

Devices and software's i used in this course :

ESP32 CAM MODULE and FTDI programmer module
For programming i used Arduino software, thats it.

what will you learn by section by section :

On first section, I explained about the hardware(ESP32 CAM), software, and programming connection with FTDI programmer. Also i explained how to program with Arduino uno board.
In second section, I taught how to make your own live video streaming with local IP address and ESP32 CAM.
In third section, you will learn about the Blynk IOT platform and how to make live video streaming with blynk IOT platform.
In Fourth section, I will teach you all about the SD card feature and how to use it with your projects. And i explained how to store image taken by ESP32 CAM module in SD card.
In Fifth section, this is an exciting section. in this i taught about the face and eye recognition using python. And i explained this through the Face and Eye recognition project.
In sixth section, i taught about the SMTP server. And how to use it with ESP32 CAM. here, I explained with the project named as how to send email notification with image attachments( Image taken with ESP32 CAM ).
In seventh and eighth sections you will learn to make telegram alert with image and take photo with Blynk IOT.
Ninth section consist all the codes and details.

After this course what you can do :

After this course completion you can make your projects ( like i mentioned before in this description ) for your home security system. Also you would be learnt about Blynk and some IOT platforms. like other IOT courses, you will be learn basic IOT developer things.

See some of the industries started to use ESP32 boards. so as a techy learning about these boards is essential. that is the esssence of this course. Thank you.

Who this course is for:

Everyone. Who want to kick start your career in IOT.

Learn Internet of Things(IOT) in Fun and Practical way

What you'll learn

Explore related topics

Course content

Getting started with ESP32 CAM7 lectures • 13min

Project 1 - live video streaming in local IP address using ESP32 CAM3 lectures • 10min

Project 2 - Live video streaming on Blynk app5 lectures • 10min

Project 3 - Taking photo using ESP32 CAM and store it in SD card3 lectures • 4min

Project 4 - Face and Eye recognition using ESP32 CAM module6 lectures • 8min

Project 5 - Send taken images via email using ESP32 CAM Module4 lectures • 10min

Project 6 - Taking photo with Blynk IOT platform4 lectures • 4min

Project 7 - Sending captured images to Telegram6 lectures • 8min

Resources1 lecture • 1min

Requirements

Description

Who this course is for: