This paper is published in Volume-4, Issue-1, 2018
Area
Computer Science
Author
Ramya. K, Subashini. I, Subhashri. H, Kalpana Devi. S
Org/Univ
Easwari Engineering College, Chennai, Tamil Nadu, India
Keywords
Fire Detection, Raspberry Pi, Sensors, Authentication, Location, OpenCV etc.
Citations
IEEE
Ramya. K, Subashini. I, Subhashri. H, Kalpana Devi. S. Survey on an Intelligent AAA Device for Fire Detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Ramya. K, Subashini. I, Subhashri. H, Kalpana Devi. S (2018). Survey on an Intelligent AAA Device for Fire Detection. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.
MLA
Ramya. K, Subashini. I, Subhashri. H, Kalpana Devi. S. "Survey on an Intelligent AAA Device for Fire Detection." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.
Ramya. K, Subashini. I, Subhashri. H, Kalpana Devi. S. Survey on an Intelligent AAA Device for Fire Detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Ramya. K, Subashini. I, Subhashri. H, Kalpana Devi. S (2018). Survey on an Intelligent AAA Device for Fire Detection. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.
MLA
Ramya. K, Subashini. I, Subhashri. H, Kalpana Devi. S. "Survey on an Intelligent AAA Device for Fire Detection." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.
Abstract
Fire is a huge serious disruption which can lead to economic or environmental losses. A system to detect fire and alarm the people before it breaks out is a need to our environment. In this paper, the focus is on the literature by providing an edifice and comprehensive overview of fire detection. It includes Alarming, Authentication and then Addressing the location of the place where the fire broke out to the admin and fire emergency services. Raspberry Pi 3 is used to control the system which is integrated with few sensors and camera. It supports image processing using OpenCV library which is used to process video more accurately with less time period. A 360ż relay motor is assembled with the camera so that it can snap the image in whatever angle the fire is detected after sensor detection. To avoid disk memory usage, this system saves the image only when a fire is detected. This paper also reviews the context and key features of fire detection systems. A method of combining sensor data and real-time processing help the device to avoid false alarm and image is sent to a group of users. Finally, we summarize the open problems and future exploration area in detecting the fire and authenticating it to the users.