id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-31421	Wen, Rui	Large-scale Fire Detection based on YOLOv8 Lightweight Model and its Improved System	2025	10	.pdf	application/pdf	6346	273	43	Nowadays, computer vision methods and video surveillance cameras have a wide range of applications, has shifted from traditional detection methods to machine deep learning technology, these technologies have a very important role in promoting and significance of fire detection, image detection can be extracted through the dataset training after the object features, compared with the traditional fire detection methods, it can detect and warn of fires in a short period of time, and the coverage of the area is wider, and can realize a wide range of detection. The application of YOLOv8-based model in fire detection can greatly reduce the consumption of manpower and financial resources for detection, and reduce the economic losses caused by fire.	cache/fcis-31421.pdf	txt/fcis-31421.txt