一区二区福利视频午夜电影,成人性交榴莲网址,久久久网站,亚洲精品强奸片电影,亚洲精品国产网红在线,国产a国产片

Hello! Welcome to SipTEC Technology Co., Ltd. official website!
專注精密制造10載以上
專業(yè)點(diǎn)膠閥噴嘴,撞針,精密機(jī)械零件加工廠家
聯(lián)系方式
13077808017
Contact us
13077808017
Your current location: Home > Case > Rubber parts

Tips for detecting the appearance defects of the sealing ring?

Release time:2024-07-27Hits:


With the development of society and the progress of science and technology, sealing rings, as a common mechanical part, are more and more widely used in all walks of life. Specializing in the production of various rubber products for automobile braking systems. In the production process of the sealing ring, product damage, burrs, scratches and other defects due to process problems directly affect the sealing and service life of the sealing ring. 

 At present, the industry mainly relies on artificial naked eye detection. The detection results are subjective and emotional, and there will be a vague definition of defects. The naked eye is prone to fatigue, resulting in high labor cost and low detection efficiency and accuracy. When the traditional visual scheme has similar characteristics between defects and non-defects, its reliability is difficult to meet the acceptance standard and the debugging cycle is long, resulting in unable to keep up with the output. There are technical difficulties.



未標(biāo)題-3 拷貝-恢復(fù)的-恢復(fù)的-恢復(fù)的-恢復(fù)的-恢復(fù)的-恢復(fù)的-恢復(fù)的.jpg




In the production process, the sealing ring has internal diameter, thickness, cracking, surface traces and other defects. Sptek recommends using a cloud disk high-speed visual detector. 

 

 Cloud disk high-speed vision detector is an advanced equipment that combines cloud computing technology, high-speed vision detection and artificial intelligence algorithms for fast and accurate product detection and quality control on industrial production lines. Use cloud computing resources to achieve high-speed data processing and analysis to improve detection efficiency and accuracy. Equipped with high-resolution cameras and advanced visual algorithms, it can quickly capture product images and detect them accurately. Combined with deep learning and machine learning algorithms, it realizes the automatic identification and classification of product defects, logos and other characteristics. It can be integrated with the robot system or automated production line to realize intelligent production process control.



image.pngimage.png





Detection effect 

 Good products



image.png




Traces on the surface


image.png





罗甸县| 安仁县| 临汾市| 天水市| 乐安县| 阳新县| 上栗县| 灵台县| 安新县| 平顺县| 磴口县| 潼南县| 盐池县| 苍山县| 赞皇县| 沭阳县| 巴彦淖尔市| 民权县|