Image Processing Based Fire Detection Using Raspberry PI.
Internet of things (IOT) is the network of entity that consists of Electronics, programmable software, sensors, and communication features to gather and transfer data. The objective of the proposed system is to alert the remote user when the fire accidents occur. This system can be installed at any...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 190 - 195 |
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| Autores principales: | , , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151005955&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151005955 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13008757 YU1 jtl: Turkish Journal of Physiotherapy Rehabilitation issn: 13008757 maglogo: N pubinfo: dt: 2021 vid: 32 iid: 2 pid: 20392 pub: Turkish Journal of Physiotherapy & Rehabilitation place: Kizilay/ Ankara, <Blank> artinfo: ui: 151005955 151005955 151005955 151005955 ppf: 190 ppct: 5 formats: fmt: @attributes: type: P tig: atl: Image Processing Based Fire Detection Using Raspberry PI. aug: au: Tarangini, K. Pavani, K. Reddy, Uday Kumar Santhosh, L. sai, M. Phani affil: Asst professor, Vidya Jyothi Institute of Technology, Azeeznagar, Hyderabad, India sug: subj: Image Processing, Computer Assisted Methods Internet of Things Smoke Alarms Fire Safety Equipment and Supplies Algorithms ab: Internet of things (IOT) is the network of entity that consists of Electronics, programmable software, sensors, and communication features to gather and transfer data. The objective of the proposed system is to alert the remote user when the fire accidents occur. This system can be installed at any remote premise which has a threat of fire accidents. Fire detection systems are among the most important components in surveillance systems used to monitor buildings and the environment. As part of an early warming mechanism, it is preferable that the system has the capacity to report the earliest stage of fire occurrence. Currently, almost all fire detection systems use built-in sensors that depend primarily on the reliability and the position distribution of the sensors. It is essential that these sensors are distributed densely for a high precision fire detection system. In a sensor-based fire detection system coverage of large area is impractical due to the necessity of a regular distribution of sensors in close proximity. The proposed fire detection algorithm solves the above mentioned issues which is based on image processing techniques which is compatible in surveillance devices like CCTV, wireless camera to UAVs. The algorithm uses RGB colour model to detect the colour of the fire which is mainly comprehended by the intensity of the component R which is red colour. The intensity of fire is detected using sobel edge detection. Finally a colour based segmentation technique was applied based on the results from the first technique and second technique to indentify the region of accuracy obtained from testing the algorithm was 93.61% and the efficiency was 80.64%. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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