id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-21	Qiu, Jing; Xu, Yun; Liu, Siyi	On the Determination of the Chip Nozzle Recognition System by Using Machine Vision	2021	7	.pdf	application/pdf	3630	220	60	Experimental results show that the recognition accuracy rate of the system is as high as 98.85%, and the accuracy rate is significantly better than human eye recognition, which can provide an effective way for the classification and management of chip nozzles. In this research, 29 kinds of lifting nozzles are selected as test samples.	cache/fbem-21.pdf	txt/fbem-21.txt