Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

An Improved Surveillance System Architecture Based on Flame Detection in Cctvs


Affiliations
1 Institute of Information Science, Kim Il Sung University, Pyongyang, Korea, Democratic People's Republic of
     

   Subscribe/Renew Journal


CCTV is an important part of the surveillance systems. While a person observes the screens with the naked eye in existing CCTV monitoring systems, it is possible that the flame and events are not detected opportunely due to eye fatigue and human carelessness. In this paper, we propose a real-time flame detection method and design architecture of surveillance system to achieve early fire detection. When flame is detected, this system displays the video sequence from the corresponding camera channel on the whole screen with the alarm signal.

Keywords

Surveillance System, Flame Detection, CCTV.
Subscription Login to verify subscription
User
Notifications
Font Size

  • Chunyu Yu, Zhibin Mei and Xi Zhang, “A Real-Time Video Fire Flame and Smoke Detection Algorithm”, Procedia Engineering, Vol. 62, pp. 891-898, 2013.
  • V. Vipin, “Image Processing Based Forest Fire Detection”, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, No. 2, pp. 87-95, 2012.
  • A.D. Patil, K.R. Kuwar, M.S. More, P.A. Pagar and S.D. Somawanshi, “Advance Algorithm for Fire Detection using Image Processing and Color Recognition”, Proceedings of International Conference on Wireless Communication and Android Apps, pp. 9-14, 2015.
  • R.A. Agrawal and S.T. Khandare, “Fire Detection Using Image Processing”, International Journal of Advanced Engineering and Global Technology, Vol. 3, No. 2, pp. 1499-1503, 2015.
  • S. Verstockt, B. Merci, P. Lambert, R. Van De Walle and B. Sette, “State of the Art in Vision-based Fire and Smoke Detection”, Proceedings of 14th International Conference on Automatic Fire Detection, pp. 285-292, 2009.
  • Kumarguru Poobalan and Siau-Chuin Liew, “Fire Detection Algorithm using Image Processing Techniques”, Proceedings of 3rd International Conference on Artificial Intelligence and Computer Science, pp. 160-168, 2015.
  • Leonardo Millan-Garcia, Gabriel Sanchez-Perez, Mariko Nakano, Karina Toscano-Medina, Hector Perez-Meana and Luis Rojas-Cardenas, “An Early Fire Detection Algorithm Using IP Cameras”, Sensors, Vol. 12, pp. 5670-5686, 2012.
  • Qi-xing Zhang, Gao-hua Lin, Yong-ming Zhang, Gao Xu and Jin-jun Wang, “Wildland Forest Fire Smoke Detection Based on Faster R-CNN using Synthetic Smoke Images”, Procedia Engineering, Vol. 211, pp. 441-446, 2018.
  • Khan Muhammad, Jamil Ahmad and Sung Wook Baik, “Early Fire Detection using Convolutional Neural Networks during Surveillance for Effective Disaster Management”, Neurocomputing, Vol. 288, pp. 30-42, 2018.
  • Wentao Mao, Wenpeng Wang, Zhi Dou and Yuan Li, “Fire Recognition Based On Multi-Channel Convolutional Neural Network”, Fire Technology, Vol. 54, No. 2, pp. 531-554, 2018.

Abstract Views: 165

PDF Views: 0




  • An Improved Surveillance System Architecture Based on Flame Detection in Cctvs

Abstract Views: 165  |  PDF Views: 0

Authors

Chang Yong Ri
Institute of Information Science, Kim Il Sung University, Pyongyang, Korea, Democratic People's Republic of
JinHyok Ju
Institute of Information Science, Kim Il Sung University, Pyongyang, Korea, Democratic People's Republic of
Hak Song Ri
Institute of Information Science, Kim Il Sung University, Pyongyang, Korea, Democratic People's Republic of
Kyong Chol Rim
Institute of Information Science, Kim Il Sung University, Pyongyang, Korea, Democratic People's Republic of

Abstract


CCTV is an important part of the surveillance systems. While a person observes the screens with the naked eye in existing CCTV monitoring systems, it is possible that the flame and events are not detected opportunely due to eye fatigue and human carelessness. In this paper, we propose a real-time flame detection method and design architecture of surveillance system to achieve early fire detection. When flame is detected, this system displays the video sequence from the corresponding camera channel on the whole screen with the alarm signal.

Keywords


Surveillance System, Flame Detection, CCTV.

References