Welding spot defect detection system based on machine vision

Abstract

The invention provides a welding spot defect detection system based on machine vision, comprising an image collection device, a control system and a processing system, wherein the welding spot defectdetection system is mainly applied to welding spot defect detection on an electronic product, and welding objects are irregularly arranged welding spots on stainless steel; the image collection deviceis used for collecting an image of the surface of the detected electronic product and transmitting the collected image to the processing system through data; the processing system is connected with the image collection device and is used for receiving the collected image, processing the collected image, and identifying and judging a defect of the welding spot in the image; and the control systemis connected with the image collection device and the processing system and is used for controlling the image collection device to collect the image and controlling the processing system to process the image. Compared with the detection instrument in the prior art, the welding spot defect detection system provided by the invention has higher detection efficiency and detection precision.

Description

technical field [0001] The invention relates to the technical field of defect detection, in particular to a machine vision-based solder joint defect detection system. Background technique [0002] 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, rosin welding, overheated welding, cold welding, virtual welding, asymmetry, looseness, sharpening, bridging, pinhole etc. Common defects mainly include virtual welding and welding penetration. The causes of false welding generally include: the pressure of the electrodes on both sides is too small, so that the weldment is not well adhered, and the current is too small. The main cause of welding penetration is that the current is too large, which direct...

AI Technical Summary

Problems solved by technology

The causes of false welding generally include: the pressure of the electrodes on both sides is too small, so that the weldment is not well adhered, the current is too small, etc.

The main cause of welding penetration is that the current is too large, which directly leads to the perforation of the weldment

[0003] Most of the solder joint defect detection and classification algorithms proposed in the prior art have low detection efficiency and high misjudgment rate; or the algorithm parameters need to be set manually, the stability is poor, and the calculation complexity is relatively large

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