Real-Time State Recognition of Switches on Electrical Cabinet Panel Using Hybrid Visual Features

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	Real-Time State Recognition of Switches on Electrical Cabinet Panel Using Hybrid Visual Features
	Zhang YL(张吟龙)2,3; Liang W(梁炜)1,2,5; Yuan MZ(苑明哲)2,3; Xiao JC(肖金超)2,3; Li, Jun 4; Peng SW(彭士伟)1,2,5
	2020
会议日期	July 21-23, 2020
会议地点	Virtual, Warwick, United kingdom
页码	920-925
英文摘要	An automatic and accurate state recognition of switches on electrical cabinet control panels plays an increasingly important role in the routine inspection of power equipment. This paper presents a novel method for real-Time cabinet panel switch state recognition using hybrid visual features. Compared to traditional methods, the proposed approach can ensure the rectangular object regions from images captured at arbitrary angles by applying the perspective transformation model. Besides, the switch regions are segmented and the corresponding visual features are extracted on HSV space, instead of raw RGB space, which overcomes the illumination variability issues. The morphological operations and the inherent geometrical constraints, are employed to group the switch regions. Eventually, the switch recognition is implemented on high-dimensional vector space using feature similarity discriminants. The proposed method has been evaluated on the image dataset collected from power station cabinets. The experimental results verify the effectiveness of the method.
源文献作者	IEEE Industrial Electronics Society (IES) ; The Institute of Electrical and Electronics Engineers (IEEE)
产权排序	1
会议录	2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISSN号	1935-4576
ISBN号	978-1-7281-4964-6
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/29376]
专题	沈阳自动化研究所_工业控制网络与系统研究室
通讯作者	Liang W(梁炜); Yuan MZ(苑明哲)
作者单位	1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Institutes for Robotics Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Guangzhou 511548, China 4.Microcyber Corporation, Shenyang 110179, China 5.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Zhang YL,Liang W,Yuan MZ,et al. Real-Time State Recognition of Switches on Electrical Cabinet Panel Using Hybrid Visual Features[C]. 见:. Virtual, Warwick, United kingdom. July 21-23, 2020.