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Forest Fire Detection System Using IoT and Artificial Neural Network

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International Conference on Innovative Computing and Communications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 55))

Abstract

Forest fire (wildfire) is one of the common hazards that is accrued in the forest. Fire monitoring has three phases: pre-fire (take appropriate action for fire control), during fire (detection of fire and planning to control fire), post-fire (damage assessment and mitigation planning). In older days, manually fire detection approach is used. In current days, satellite-based surveillance system is used to detect forest fire but this works when fire is spread in the large area. So these techniques are not efficient. According to a survey, approximately 80% losses are accrued in the forest due to the late detection of fire. So to overcome this problem, we use the Internet of things technology. In this paper, early fire detection model has been proposed with the help of the Raspberry Pi microcontroller and required sensors. Centralized server is used for storing the data and analyzing that data. Feed-forward fully connected neural network is used for prediction purpose. Then, an alert message is sent to the admin and to the people within the proximity.

A part of this work was presented in International Conference on Innovative Computing and Communication (ICICC-2018)—to be published.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Hamirpur, Himachal Pradesh, India

    Vinay Dubey, Prashant Kumar & Naveen Chauhan

Authors
  1. Vinay Dubey
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  2. Prashant Kumar
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  3. Naveen Chauhan
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Corresponding author

Correspondence to Vinay Dubey .

Editor information

Editors and Affiliations

  1. Department of Computer Applications, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Siddhartha Bhattacharyya

  2. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  3. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

    Deepak Gupta

  4. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

    Ashish Khanna

  5. Department of Information Technology, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Indrajit Pan

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Dubey, V., Kumar, P., Chauhan, N. (2019). Forest Fire Detection System Using IoT and Artificial Neural Network. In: Bhattacharyya, S., Hassanien, A., Gupta, D., Khanna, A., Pan, I. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 55. Springer, Singapore. https://doi.org/10.1007/978-981-13-2324-9_33

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