ICAFD: An Intelligent Computer Aided Fire Detection System for Surveillance Monitoring Systems
R.Raj Bharath1, G. Tholkappia Arasu2
1R.Raj Bharath, Research Scholar, Department of Computer Science Engineering, Rayalaseema University, Kurnool, Andhra Pradesh, India.
2Dr. G. Tholkappia Arasu, Principal, AVS College of Technology, Salem, India.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 24 May 2019 | PP: 694-698 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F11380486S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Fire accidents are one of the dangerous events occur at any time anywhere like research buildings, malls, forest and various industries. It makes lot of financial loss, sudden human deaths and huge amount of loss in things, whereas it affects the public. If the event is initially identified and detected then it helps to reduce the loss and provide security. Small fire event can be controlled and make only less loss. To do that a surveillance application is designed and implemented for generate the alarm whenever it detects a fire event. Immediate alarm can alert the people those who are very closure to the event location can protect themselves and they can take immediate actions. In this paper the video frames are pre-processed, segmented and classified using ICAFD (Intelligent Computer Aided Fire Detection) which comprises of Discrete Cosine Transformation (DCT) incorporated with Entropy method. This sequence of image processing methods is implemented and experimented in MATLAB software and the results are verified. The performance of the proposed approach is verified and evaluated by comparing with the earlier approaches. From the results it is identified that the proposed approach outperforms than the other approaches.
Keywords: Small Fire Event can be Controlled and Make only Less loss. To do that a Surveillance Application.
Scope of the Article: Computer Science and Its Applications