Computer Vision Projects with Arduino | 2 Projects

Name: Computer Vision Projects with Arduino | 2 Projects
Rating: 4.2 (25 reviews)

Control The LCD Display With Facial Expressions! (Deep Learning, OpenCV and Arduino)

Created byYılmaz Alaca

Last updated 9/2022

English

What you'll learn

Serial communication between Python and Arduino,
Face detection module (Landmarks),
LCD application and
Image Processing (OpenCV) project.

Course content

7 sections • 45 lectures • 2h 58m total length

Introduction1:27
List of Materials of This Course1:11
Explore computer vision projects with Arduino using an Arduino Uno, an I2C display, and a webcam to analyze facial expressions and print results, with a cable for connection.

Project Overview0:32
Installing of Serial Module2:10
Coding Python -1 (Modules and Definitions)4:19
Coding Python -2 (Reaching Landmarks of Face)6:29
Index of Lip Corner Points1:18
Coding Python -3 (Showing Special Landmarks)7:10
Distance Between 2 Points (Facial Expressions)1:47
Learn the distance formula between two points using x1, y1, x2, y2, including squaring, summing, and taking the square root to analyze lip corner positions for facial expressions.
Coding Python -4 (Adding Math Formula)3:14
Coding Python -5 (Sending Data to Arduino Board)3:24
Coding Arduino7:46
Learn to set up an Arduino lcd display with the liquid crystal library, define a 16x2 screen, read data from Python, and display with cursor and lcd.print for A or B.
Test and Fix2:09

Project Overview0:48
Creating Arm -11:47
Create a two-segment arm using image processing and computer vision to move with a servo motor, based on shoulder-wrist distance, with arm parts measuring 25 cm and 27 cm.
Creating Arm -22:38
Creating Arm -34:11
Creating Mechanism -14:43
Creating Mechanism -23:34
Coding Python -1 (Modules and Definitions)5:23
Coding Python -2 (Process Model)6:51
Coding Python -3 (Reaching Landmarks of Wrist, Elbow and Sholder)8:32
Detect wrist, elbow, and shoulder landmarks using pose landmarks indices, extract corresponding x and y coordinates scaled to the video frame, and draw circles to visualize the arm regions.
Coding Python -4 (Designing Arm)6:47
Coding Python -5 (Calculating Arm Movements)4:20
Coding Python -6 (Sending Signals to Arduino)5:07
Coding Arduino and Test7:34

Requirements

Basic knowledge of Arduino,
Basic knowledge of Python,
Basic knowledge of OpenCV,
Basic knowledge of C/C++,

Description

Hi! Welcome to the Advanced Computer Vision Project With Arduino (OpenCV) course.

This course provides you to control an LCD display with your facial movements. With this course, we will learn to reach our facial features with the deep learning method.

Main topics you will learn;

LCD Screen: With this section, you will learn how to use the LCD screen.
Deep Learning: With this section, you will learn to draw your facial features and change the physical features of the landmarks you draw.
Computer Vision Project (Deep Learning): With this section, you will learn to automatically print out on the LCD screen according to our facial expressions.

Who is this course for?

Advanced students who want to build deep learning project with Arduino,
Advanced students who want to build serial communication between Python and Arduino and
Advanced students who want to build lcd screen applications.

"You are never too old to set another goal or to dream a new dream." - C.S.Lewis

"Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles begins with a single step" - Lao Tzu

You get the best information that I have compiled over years of trial and error and experience!

Best wishes,

Yılmaz ALACA

Who this course is for:

Advanced students who want to build deep learning project with Arduino,
Advanced students who want to build serial communication between Python and Arduino and
Advanced students who want to build lcd screen applications.

Computer Vision Projects with Arduino | 2 Projects

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 3min

Getting Started6 lectures • 15min

LCD Screen7 lectures • 26min

Deep Learning (Face Model)4 lectures • 24min

Computer Vision Project 1 (Predicting Facial Expressions)11 lectures • 40min

Servo Motor2 lectures • 9min

Computer Vision Project 2 (Arm Movement)13 lectures • 1hr 2min

Requirements

Description

Who this course is for: