Journal article Open Access

Fire Recognition based on Image Processing using Raspberry pi

R. Sandhiya; Santhoshini Arulvallal; Lakshmi Shree. B; D. Dhina


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{
  "DOI": "10.35940/ijitee.J7606.0991120", 
  "container_title": "International Journal of Innovative Technology and Exploring Engineering (IJITEE)", 
  "language": "eng", 
  "title": "Fire Recognition based on Image Processing using  Raspberry pi", 
  "issued": {
    "date-parts": [
      [
        2020, 
        9, 
        30
      ]
    ]
  }, 
  "abstract": "<p>Fire is a procedure of ignition that brings calamity. It becomes unsafe when fire loses control and spreads out. The fire detection becomes more and more important with the rapid development of image and video processing, the fire detection technology based on video processing is becoming the focal point of some research due to its advantages of high intuitive, speed and anti-jamming capability. This method uses colour and motion information extracted from video sequences to detect fire. It can work both indoor and outdoor environments. Moreover, it detects fire at the beginning of the burning process. The method performs the region growing segmentation to identify colour pixels in the scene and then identify moving pixels based on the ratio of height and width of suspected fire region. This method can get low false alarm rate by eliminating the fire-like colours because it just needs a fire pixel as the seed pixel. .</p>", 
  "author": [
    {
      "family": "R. Sandhiya"
    }, 
    {
      "family": "Santhoshini Arulvallal"
    }, 
    {
      "family": "Lakshmi Shree. B"
    }, 
    {
      "family": "D. Dhina"
    }
  ], 
  "page": "143-149", 
  "volume": "9", 
  "type": "article-journal", 
  "issue": "11", 
  "id": "5853957"
}
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