Fire Detection System Using Machine Learning Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1088/1742-6596/1916/1/012209
· OA: W3167673455
The modern age of electronics has seen a lot of development. But the development of electrical and electronic devices has led to a growing rate of fire accidents mainly due to the carelessness. The main problem in the fire accidents is that they are not being able to detect the fire as early as possible. By the time we detect the fire it becomes difficult to safely evacuate all or even reduce the damage caused. Our aim is to detect the fire as early as possible. The main objective is to detect the fire as early as possible. This can be attained by capturing the fire and motions of the spreading fire by using CCTV system and processing it to produce an alert. The processed image is compared with the pre fed image using ML and checked for fire accident. If the processed image matches the pre fed image then an alert message along with a buzzer is enabled. In simple word, this fire monitoring system is an addition to the existing CCTV cameras to detect the fire effectively.
