Method for automatically detecting flaws of infusion catheter by machine vision system
A machine vision system and automatic detection technology, applied in the field of visual detection, can solve problems such as low detection accuracy and inability to detect infusion catheters, and achieve the effect of improving detection accuracy
Active Publication Date: 2021-08-13
北京力耘柯创医学研究院
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Problems solved by technology
[0006] For this reason, the present invention provides an automatic detection method for infusion catheter defects by a machine vision system to overcome the problem of low detection accuracy caused by the inability to detect hidden defects in infusion catheters in the prior art
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[0054] In order to make the objects and advantages of the present invention clearer, the present invention will be further described below in conjunction with the examples; it should be understood that the specific examples described here are only for explaining the present invention, and are not intended to limit the present invention.
[0055] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.
[0056] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "left", "right", "inner", "outer" and other indicated directions or positional relationships are based on the terms shown in the accompanying drawings. The direction or positional relationship shown is ...
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The invention relates to a method for automatically detecting flaws of an infusion catheter through a machine vision system. The method comprises the steps: fixing the infusion catheter to a conveying belt through a clamp; collecting image information of the surface of the infusion catheter; adjusting the distance between each sense detector and the conveyor belt; carrying out primary detection on the infusion catheter, carrying out secondary detection after the primary detection is qualified, and judging that the infusion catheter is qualified after the secondary detection is qualified; when the infusion catheter is judged to be unqualified, determining the defect type and the defect grade, and moving the judged infusion catheter to a finished product area or a waste area. According to the invention, the fixture is controlled to clamp the infusion catheter so as to carry out secondary detection on the infusion catheter, and the infusion catheter can be deformed on the premise of not damaging the infusion catheter, so that the visual detection system can carry out deeper detection on the surface of the infusion catheter; therefore, the visual detection system can accurately detect hidden flaws in the infusion catheter, and the detection accuracy of the method for the infusion catheter is effectively improved.
Description
technical field [0001] The invention relates to the technical field of visual detection, in particular to an automatic detection method for infusion catheter defects by a machine vision system. Background technique [0002] In recent years, with the continuous advancement of medical care technology, infusion therapy technology has also developed rapidly. In the process of infusion therapy, the application of infusion catheter technology is becoming more and more extensive, and the demand for use is increasing. Infusion is a relatively commonly used medical method in current clinical cases, and is widely used in various regions. The infusion set plays an extremely important role in the infusion process, and the infusion catheter is an important part of the infusion set. [0003] In the clinical infusion catheter, if there is a defect in the infusion catheter, it is easy to cause liquid leakage in the tube or air bubbles in the tube, etc., resulting in the failure to deliver ...
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Login to View More IPC IPC(8): G01N21/88G06T7/00B25B11/00B07C5/342
CPCB07C5/342B25B11/00G01N21/8851G01N2021/8883G01N2021/8887G06T7/0002
Inventor 石汉平丛明华栾春娜商维虎
Owner 北京力耘柯创医学研究院