AN IMAGE BASED FIRE MONITORING ALGORITHM WITH IOT ENABLED MESSAGING SYSTEM

Computer Engineering

Most of the fire detection are performed by sensor-based systems which have perceived the temperature and smoke by themselves and utilized in various type of industry after combining with the fuzzy theory. Generally this kind of methodology is useful for many spots of fire occurrences. However, it could not satisfy the requirement of accuracy and reliability on some environment. For example, large spaced factories, common area of electric power facility, communication facility are vulnerable to the sensing accuracy and too expensive to cover the entire place. Thus, fire might spread widely over the spots and hard to extinguish even though those sensors detect the fire. For the more it could be worse in the area that causes high temperature, humidity, dust, vibrations. In this study, we tried to improve the problems by using camera image processing instead of sensors. We designed the prototyped system and implemented it after suggesting some type of fire detection algorithm. We are proposing the new idea of using cameras and IOT technology to detect fire and to build flexible alert message transfer system. Flame and smoke are two obvious vision features of fire. In order to detect the cause of fire, we have a camera included that captures all fire images once fire is detected in any direction, A notification is sent to the admin & people immediately about the incident. We make use of the Internet Of Things (IoT) using which the entire system were connected together for data transfer. A Raspberry pi is used as a processing unit. Using this system, the reason of fire can be known remotely and it is easy to take precautions in future and people lives can be saved.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.