基于机器视觉的双工位载带检测系统研究

doi:10.3969/j.issn.1000-1158.2019.02.04

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Abstract The hardware design and mechanical structure of the dual-station carrier tape detection system based on machine vision are described. An image processing algorithm suitable for carrier tape detection is proposed, which mainly includes the defect detection algorithm and the size calculation algorithm. The algorithm uses the standard qualified carrier sample image as the training set, and acquires the characteristics of the detection area image from these standard qualified carrier sample images. The quantity information is used as a comparison standard for online detection. After the actual line test verification, the detection rate of the carrier defect is not less than 99.6%, the critical defect detection rate is 0%. The detection time of one frame of image is 10 ms, and the detection speed reaches 12 m/min.

Key words： metrology carrier tape detection machine vision double work station image processing

Received: 21 September 2017 Published: 07 March 2019

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TB96

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	Articles by authors
	SHI Yun-zhao
	NI Jun
	LI Ning-chuan
	FAN Sheng-hua

Cite this article:

SHI Yun-zhao,NI Jun,LI Ning-chuan, et al. Research on Duplex Carrier Detection System Based on Machine Vision[J]. Acta Metrologica Sinica, 2019, 40(2): 196-200.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.02.04 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I2/196

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