JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Intelligent Fire Detection with Automated Recognition and Alerting using YOLOv8 Deep Learning Method.
Jayanth C L, Manjunath H T
Nowadays fire detection technology was playing special role in minimize the damage of the properties from the fire. We experiencing numerous problems, including fires in apartments, factories and other industrial areas many more. It uses smart computer vision technology to detect fires faster than traditional smoke or flame sensors. The intelligent fire detection with automated recognition and alerting system uses the computer vision technology to detect fire from long distance and reduce risks. The proposed methodology uses the YOLOv8 algorithm to detect fire from the camera. The proposed system uses the numerous fire datasets collected from kaggle to train and test the fire datasets, we can use the CCTV cameras to detect the fire from the distance because nowadays we are using the CCTV cameras everywhere if we include this technology along with the cameras that would significantly reduce the loss of human life and property. This system can spot fires quickly from far away using CCTV cameras, helping to save lives and property.
YOLOv8, Computer vision, CCTV camera.