Parking Space Counter using OpenCV Python | Computer Vision

In this tutorial, we are going to create a Parking Space Counter. We will find how many total cars are present and how many spaces are vacant to park. The best thing about this tutorial is that we will be using basic Image Processing techniques to solve this problem.

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[murtazasworkshop]

What project would you like me to make next ?

[bandermaster]

I liked that we solved the problem without a classifying model, using image processing instead. I think that will be a good foundation for future projects.

[saikatmondal]

Excellent project learned so many things in Opencv. 1)Find ROI in a image, 2) create position list of ROI, 3) dump position list in pickel file, 4) imageblur, 5) imagethresholding 6) count pixel of image 7) coloring, thickness and other operation with image count. and 8) most important mouse click operation on opencv.

[sergioernestotostadosanche]

I LOVE YOUR VIDEOS! A lot of thanks for your content. I wonder if you have a video about basics and concepts about Image Processing and some examples about its feature (i.e. Gaussian is X and is used for y), sometimes you used Gaussian or Blur techniques or packages that I don't recognize, so this is what I'll like in your future videos. Regards and excellent job!

[adegbitekelvin]

I love your introduction. Can't wait to try this.

[stanst]

Thanks for sharing this excellent project with details! For sure will work much faster than deep neural network as you mentioned.

[modernfusions]

This is very good. Nicely elaborated, eliminating hidden complexities.

[AdityaP]

I loved your project! Learned so many new things! Keep up the good work!

[BillFrench]

This is a great example of replacing the IoT with the (IoR Internet of Recognition), e.g., virtualized IoT sensors through machine vision. However, camera angle and height is critical and not always possible - think to floors in a parking tower. At Stream It we have used AI with multiple camera angles at low level angles to superimpose and extrapolate the view of the floor without such view being physically possible.

[NKernytskyy]

Amazingly educative tutorial!
Apprecaite sharing sources.

[thiagosoares]

Your channel is the best in this regard!

[rparetti]

this project is very beautiful. your explanation is perfect, keep it up

[BigerBoy]

Loved the video. Greetings from Puerto Rico🇵🇷

[scounterscounter]

2019 was my last development of this kind of stuff...yeaa...forgot a lot...nice video...slowly remember is coming back

[bintehawa]

A Gaye or chah Gaye ho Bhai .we need more videos on COmputer vision

[microsoftsarker]

IT WORKED!! THANK YOU SO MUCH!! AND YES, LIKED AND SUBSCRIBED

[no_name]

This video is a life saver for students who are completely new to image processing. Thank u for this video.

[SaifKhan-rrer]

Nice presentation. I don''t need to on Subtitles. Thank you very much for such helpful and nicely composed tutorial with explanation.

[abhishiktpeters]

Thank You so much Sir. Beautifully explained!!!🙏

[Yougocean]

Lovely post with helpful information. This tutorial ha really helped me a lot. I do like and enjoyed this cool video.