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.

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.