Jan

06

2022

Advanced Computer Vision Project With Arduino (OpenCV)

Laser 6 Jan 2022 12:13 LEARNING » e-learning - Tutorial

Advanced Computer Vision Project With Arduino (OpenCV)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration:29 lectures (1h 46m) | Size: 594.2 MB

Control The LCD Display With Facial Expressions!

(Deep Learning, OpenCV and Arduino)

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

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

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 bs 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

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.




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