Method and device for detecting whether capacitor is correctly mounted through photographing

A technology for correct installation and detection of capacitance, which is applied in image data processing, instruments, calculations, etc., can solve the problems of inaccuracy and low efficiency of circuit board component installation and detection methods

Inactive Publication Date: 2016-06-01
CHINA UNIV OF MINING & TECH
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method and device for detecting whether the capacitor is installed correctly by tak

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  • Method and device for detecting whether capacitor is correctly mounted through photographing
  • Method and device for detecting whether capacitor is correctly mounted through photographing
  • Method and device for detecting whether capacitor is correctly mounted through photographing

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Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] The invention provides a method for detecting whether the capacitor is installed correctly, such as figure 1 with figure 2 shown, including the following steps:

[0044] S1. Collect the image of the circuit board with assembled capacitor through the camera;

[0045] S2. Preprocessing the collected image, the preprocessing includes image grayscale, histogram transformation, binarization, dilation and erosion processing, such as figure 2 a ~ 2d shown;

[0046] In step S2, first use the library function cvCvtColor of OpenCV to grayscale the image to make it an 8-bit grayscale image, reduc...

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Abstract

The invention provides a method and a device for detecting whether a capacitor is correctly mounted through photographing. The method comprises steps: an image of a circuit board of an already-assembled capacitor is acquired through a camera; the acquired image is pre-treated, wherein pretreatment comprises graying, histogram transformation, binarization and expansion corrosion treatment on the image; noisy points with over small areas on the image after pretreatment are removed, the capacitor is found through Hough circle transformation, and invalid circles are eliminated; and whether the capacitor is correctly mounted is judged according to whether a negative electrode marker exists in an effective circle preset position. The method is measurement based on computer vision, is a non-contact measurement technology, particularly a capacity polarity detection method brought forwards based on open source OpenCV, and solves the defects of slow execution speed and poor real-time performance of the traditional detection method.

Description

technical field [0001] The invention belongs to the field of automatic detection technology and devices, and in particular relates to a method and a device for detecting whether capacitor installation is correct or not by taking pictures. Background technique [0002] In the mass production process of circuit boards, the wrong and missing components are an important reason for defective products, and capacitors are common polar components on circuit boards, so how to efficiently and accurately detect wrong and missing components Capacitance has important practical significance for improving the yield rate of circuit board production. [0003] At present, the detection of circuit board component installation in China mainly adopts observation method and function detection method. After the circuit board installation is completed, the components are first manually observed, and then soldered after confirmation, and then powered on for functional testing. The observation meth...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0008G06T5/30G06T5/40G06T2207/20061G06T2207/30108
Inventor 周娟刘刚毛海港鲍宇陈映甄远伟贺鹏飞张艳群徐青源王超任国影戴经纬
Owner CHINA UNIV OF MINING & TECH
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