Computer Based Fire Detection System Using Video Image Processing

Abstract

Image processing stands for the analyzation of an image which results in the calculation and detection of various components of the image such as colour, shape and motion. In this paper, we propose a model which is able to detect fire by analysing images acquired by a surveillance camera and sensors. The circuit includes a microcontroller, ADC, sensors, camera, and buzzer. All the data taken from sensor and camera will be monitored via data monitoring system wirelessly to detect the fire. We propose this system based on two main novelties: first, based on colour, shape and motion analysis and second, the bag-ofwords approach for representing motion. This system will produce results with a reduced number of false positives and the system can be run on an embedded system.

Authors and Affiliations

Apoorva Bhandari, Divyansh Sharma, Nikita Dalwale, Shraddha Dhumal, Prof. M. P. Navale

Keywords

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  • EP ID EP24470
  • DOI -
  • Views 305
  • Downloads 11

How To Cite

Apoorva Bhandari, Divyansh Sharma, Nikita Dalwale, Shraddha Dhumal, Prof. M. P. Navale (2017). Computer Based Fire Detection System Using Video Image Processing. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(6), -. https://europub.co.uk/articles/-A-24470