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Welding spot defect detection system based on computer vision

A technology of computer vision and defect detection, applied in computing, image data processing, instruments, etc., can solve the problems of extracting too many features and increasing computational complexity, and achieve the effect of improving detection speed

Inactive Publication Date: 2018-01-19
富强
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Problems solved by technology

Some scholars use Bayesian and support vector machines to classify solder joint images, and the image recognition rate is improved, but too many features are extracted, which increases the computational complexity

Method used

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  • Welding spot defect detection system based on computer vision

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Embodiment Construction

[0018] The solder joint defect detection system based on computer vision is mainly composed of video acquisition equipment, control unit, PC and PC detection software. The video acquisition equipment is composed of industrial digital cameras, optical lenses and light sources. The industrial digital camera and lens are used for image acquisition of the measured object, and are connected to the host computer through the 1394 interface, and the collected image data is transmitted to the host computer for processing. In order to meet the detection accuracy of 0.1 mm, this system uses a 5 million-pixel industrial surface-scanning CCD, so that the size of a single pixel is 0.04 mm. The light source is used to illuminate and highlight the characteristics of the object. The system uses a coaxial white light source of LED particles, and adopts a front lighting method to make the background brightness uniform, that is, the pixel gray value remains consistent. The upper computer is the c...

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Abstract

In a spot welder welding production line, phenomena, such as infirm welding, missed welding, and excessive welding, may usually arise from an immature welding process, thereby greatly affecting the service life and the attractive appearance of a product and requiring quality detection. In view of the low efficiency of a traditional detection method, the invention provides a welding spot defect detection system based on computer vision for detecting the welding spots by using machine vision and provides an image processing method. The method comprises smoothing an image; performing threshold segmentation on the image by using an Otsu method; performing inverted triangle range conversion on the obtained image, converting pixel information into grayscale information; accurately segmenting thewelding spot by using a watershed algorithm; and finally, calculating the features such as area to classify the welding spot defects. Experiments show that compared with traditional detection equipment, the system can detect a variety of welding spots in different arrangement and improves industrial production efficiency.

Description

Technical field [0001] The invention relates to a detection system, in particular to a computer vision-based solder joint defect detection system. Background technique [0002] In recent years, the detection technology based on computer vision has developed rapidly in the field of industrial detection. It combines modern science such as modern optics, computer technology, image processing and analysis technology into a comprehensive detection system of optomechanical integration, which has online detection and real-time analysis. And control, high precision, continuous work and other characteristics, can be widely used in various special occasions. The spot welding machine is mainly used in the equipment of the electronics industry, which has high quality requirements. Therefore, the quality of the solder joints needs to be tested. Due to the immaturity of the actual process and errors in manual operation, some defects often occur, such as too much solder, too little solder...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 富强
Owner 富强
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