Computer Vision With Arduino | 2 Hour Course | OpenCV Python

Published 2021-09-26
Welcome to the world's first Computer Vision with Arduino Course. Here we are going to learn the basics of how to create real-world Computer Vision applications using the extremely popular Arduino Microcontroller. We will first start with basic exercises and move on to creating exciting projects such as Lamp Gesture Control, PID Face Tracking, Angle Finder, Hand Gesture Control, Color Sorter with Conyeor belt, and a lot more.
The aim of this course is not to create random projects. But to understand the fundamentals and to give you enough knowledge and experience so you can build your own million-dollar ideas. This course has a clear pathway from basic to advanced with lots of practice examples.

This video is part of the course. The complete course can be found on our CVZone Platform.

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Computer Vision with Arduino - Full Course:
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00:00 Trailer
01:06 Introduction - Arduino Basics
10:47 Introduction - Arduino Sensor
22:46 Introduction - PWM
27:42 Installation - Python
29:11 Installation - Pycharm IDE
30:45 Installation - Arduino IDE
34:16 Insatllation - CVZone Library
35:42 Led Wiring
36:50 Led Arduino Code
52:32 Led Python Code
01:00:09 Led Graphics
01:07:31 Potentiometer Wiring
01:15:37 Potentiometer Arduino Code
01:24:15 Potentiometer Python Code
01:26:01 Potentiometer Graphics
01:40:01 Face Detection LED - Detecting Faces
01:47:01 Face Detection LED - Arduino Code
01:48:59 Face Detection LED - Python
01:52:42 Face Detection RGB - Wiring
01:53:23 Face Detection RGB - Basic
01:58:43 Face Detection RGB - RGB Serial
02:02:02 Face Detection

All Comments (21)
  • Thank you! I was so confused by where the numbers were coming from for programming my Arduino, the other videos I've watched don't even acknowledge what anything in the code means if they even show it. Thank you so much, finally a good explanation of what is going on!!
  • This is really informative. Despite knowing what an Arduino is, binary and mostly everything your talking about I still found it satisfying to watch it's conveyed really well
  • @jerryrace4021
    Been search for this for weeks with no luck but now it pops up in my suggestions so happy thanks so much
  • @vikassoni3308
    You are the best teacher I ever seen . You teach the future to us. The price of your video is infinite. Thanks from Janatanagar,Chandkheda, Ahmedabad,gujrat, india.
  • @solado5361
    ุทุฑูŠู‚ุฉ ุดุฑุญูƒ ูˆุนุฑุถูƒ ูˆุญุชู‰ ๐Ÿ‘ˆุงู„ุฏุฑูˆุณ ูƒู„ู‡ุง ู…ู…ุชุงุฒุฉ๐Ÿ‘ ูˆู„ุงู†ู‚ูˆู„ ุฌูŠุฏุฉ๐Ÿ˜‰๐Ÿ‘ุดูƒุฑุง ู„ูƒ ๐Ÿ‘๐Ÿ™
  • @stanst9013
    Great introduction to OpenCV library and Arduino-PC communication through USB port
  • Really I have been waiting for this kind of explanation for several years and finally I found your YouTube channel.๐Ÿ˜…๐Ÿ™Œ
  • @guninmehra9421
    Dude you are the best Educator till now. Your knowledge and way of teaching is just remarkable
  • IoI very very good! I did it on my linux with some small changes to the code, and it turned out great! Congratulations on your didactic man! Amazing..thanks!!๐Ÿ’ป๐Ÿ–ฅโŒจ ๐Ÿ‘๐Ÿ‘๐Ÿ‘
  • Simple and fun. Thanks !
  • @neoint
    simple to learn but great impact for me :), thanks.
  • I've never seen the best way of teaching like this. Thank you, sir!
  • @bastiane215
    Many thanks for your effort on sharing this. When I could turn on and turn off a LED through python I was really excited and wrote this message heheh. Iยดll keep going ๐Ÿ˜
  • I am soo lucky that youtube recommended this video when i am scrolling to learn something. The way you teached made me understood very well. Thank you soo much sir ๐Ÿ’–
  • Sir you are doing a great job! Thanks. You bring the easy explanation for noob like us.
  • @rpals5412
    Damn. Really really well done material dude! How you manage to cover so much complex information in such a simply way and in the exact right order is phenomenal - so easy to understand.
  • @arvindh13
    I used to work in a lab and we used to use Arduino and Arm controller with OpenCV and other ML libraries, one interesting project I could think of is Augmented Chess, we connected a huge led display to an ARM processor and two people stand in front of respective cameras and based on their hand movements the chess pieces in the display will move, the players can drag and place them, we did it for an exhibition (IMTEX) two years back. Anyway, nice video.
  • @Nozel_Silva
    1:05:52 I had the same problem, I get rid of that problem so I've stopped learning about AI..... But now you thought me a solution for that ! Thank you !