Fire & Gun Detection using Machine Learning


Authors : Karthik R; Ashwin S B; Haripriya C

Volume/Issue : Volume 7 - 2022, Issue 6 - June

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3IPS1AL

DOI : https://doi.org/10.5281/zenodo.6867572

Accidental fire is a natural disaster which threatens the public safety in a huge manner. In the past few years, accidental fire has occurred very frequently in many places, including forests, shopping malls and industries, which in turn yields to the huge loss of human lives and capital. By paying attention to simple steps and being familiar with obvious dangers, one can help to lower the likelihood of accidental fires and hinder damage caused to the property or even worse, loss of property. It mainly reduces the risk of potential loss of lives. Possession of fire arms without a license is an offence and even if someone does have a license for it, bringing it to certain places is restricted. Though there is rigorous checking in the entrance of every place, there are possibilities of a mishap. Instead of looking at the whole network, the YOLO algorithm looks into the parts of the image which has high possibilities of containing the object. You Only Look Once (YOLO) is an object detection algorithm, and it is faster than other object detection algorithms

Keywords : Fire detection, Gun detection, YOLO algorithm

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