Fire and Smoke Detection use Color or Haar [closed]

asked 2018-12-15 13:04:42 -0600

Abra gravatar image

updated 2018-12-15 14:00:42 -0600

sturkmen gravatar image

Hi guys I'm sorry for my noob question, I'm still new at using python opencv and but i am already started reading its document. my question is i want to detect fire and smoke but i am very confuse right now if what should i use for the camera to detect a fire or smoke in any size, should i use haar cascade and train a multiple of negative and positive of flame or should i just use a color oscillation to detect, since we all know fire and smoke can show up at any size. i would like to know your opinion so i can the study right method to implement on my project, thanks a lot and I apologize.

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Closed for the following reason question is not relevant or outdated by sturkmen
close date 2020-11-09 10:18:52.164276

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please try the search bar here, there are several similar (answered) questions

berak gravatar imageberak ( 2018-12-15 16:42:06 -0600 )edit

For what it's worth, you could always look for pure white splotches on the image, where the brightness of the fire overwhelms the camera. Too much smoke? Look for black splotches.

sjhalayka gravatar imagesjhalayka ( 2018-12-15 16:44:33 -0600 )edit

see http://smoke.ustc.edu.cn/datasets.htm

sturkmen gravatar imagesturkmen ( 2018-12-20 21:43:04 -0600 )edit
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