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Detect valve position without colors on a video

asked 2019-10-08 09:32:02 -0600

updated 2019-11-26 05:08:46 -0600

Hello,

I can't find a solution for my problem and I need your help. I have to create an application to detect if a valve is open or close like this :

https://www.youtube.com/watch?v=VY92f...

Some valves had a handle with color, but some valve don't, I dont know how I am going to resolve this problem to detect the valve position "close" or "open" without colors, I can't use machine learning because I have only 3 valves without colors and I can't create a large database.

image description

Any help, i can't find a solution, I tried template matching and it's not working.

Edit 1 : I add a more clear images :

Valve opened :

image description

Valve closed :

image description

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answered 2019-11-27 01:52:26 -0600

Ziri gravatar image

updated 2019-11-27 02:45:32 -0600

This is not an opencv problem ... you'll need some edge based template matching (rotation invariant). If your camera is fixed that's even easier.

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Thank you for your answer, unfortunately my camera is not fixed

Kitnos gravatar imageKitnos ( 2019-11-27 02:15:49 -0600 )edit

Take a look at the generalize hough for edge based template matching . you can also try SIFT

Ziri gravatar imageZiri ( 2019-11-27 02:47:06 -0600 )edit

I will try "generalize hough for edge based template matching". I already tested SIFT and SURF and ORB and they do not work, they can not find interesting points of interest on the valve.

Kitnos gravatar imageKitnos ( 2019-11-27 03:16:25 -0600 )edit

There is a posibility to add colores, especial ones like pink ir orange at valves for better detection? Colors there are dificult for recognition. All grays..

Greydel gravatar imageGreydel ( 2019-12-04 01:09:53 -0600 )edit

@Greydel Yes, that's the last solution that I have. I will add some "marking colors", for example a red small rectangle or triangle near the valve.

Kitnos gravatar imageKitnos ( 2019-12-04 02:44:09 -0600 )edit

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Asked: 2019-10-08 09:32:02 -0600

Seen: 394 times

Last updated: Nov 27 '19