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Approach based on visual recognition cylindrical ceramic resistance detection system

机译:基于视觉识别的圆柱陶瓷电阻检测系统的方法

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Ceramic substrate is an important substrate of electronic components, the traditional detection methods rely on manually. Since the product is small size, light weight and a huge amount of testing in the detection process without the stability and accuracy of the reliable guarantee. Detect small objects at the same time as artificial, easily fatigue. In this paper, machine vision images for recognition. According to the characteristics of product samples to design a complete detection system, related to verification by the laboratory. Practical results show that the method be applied to other products of similar quality small automatic detection.
机译:陶瓷基板是电子元器件的重要基板,传统的检测方法依靠人工。由于产品体积小,重量轻和在检测过程中进行大量测试而没有稳定性和准确性的可靠保证。同时检测人造的小物体,容易疲劳。本文对机器视觉图像进行识别。根据产品样品的特点,设计一套完整的检测系统,并由实验室进行相关验证。实际结果表明,该方法可应用于其他质量相似的小型自动检测产品。

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