Machine vision solution for bearing seal ring defect detection

Bearing seal ring is an important sealing element used to protect bearings. The main function of the bearing seal ring is to prevent the leakage of grease inside the bearing, prevent dust, dirt and water from entering the bearing inside, so as to extend the service life of the bearing and maintain its good working condition.

Bearing seals are usually made of rubber, fluorine rubber, silicone and other materials, with good sealing performance and durability. There are different types, including single lip seal, double lip seal, contact seal, non-contact seal, etc., to meet different working environments and requirements.

Bearing seals play a vital role in industrial and mechanical equipment, effectively protecting bearings from the influence of the external environment and ensuring the normal operation and long-term stability of equipment.

In order to solve the problem of large amount of measurement programming and low efficiency of customers' products, Siptech provides efficient and concise O-ring rapid measurement solutions.

Configuration: Siptech's cloud Disk high-speed visual inspection equipment, equipped with a special sealing ring test program, no programming, parts placed on the workbench, you can output results.

For machine vision light sources, it is impossible to find a light source that can be applied to all rubber rings. However, if a vision system can only be applied to one product, it may not be cost-effective. Therefore, the key is to consider as many applicable products as possible. Or just do those large yield rubber rings. Visual inspection items on small rubber rings may not be cost-effective.

The detection of rubber sealing ring products, the resolution is better to be higher. With higher resolution, more detail can be obtained and smaller defects can be detected. Industrial cameras in the 5 megapixel class are usually considered. Of course, the higher resolution may not be too helpful for the project itself, because the product itself does not have such a high accuracy, so the resolution is just right.

Industrial lenses do not have too many requirements, the use of ordinary CCTV lenses can basically meet the requirements. For some products with through holes, but also relatively large, you can consider the telecentric lens.

Then there is the image processing algorithm, which is usually circular, so you can consider using a circular ROI tool, and then using particle analysis to deal with, if there are defects, scars, stains, pitting, etc., most of the defects can be detected. Of course, the premise is that the light source lighting can be more obvious. If the defect features are not very different from the background features, then the system stability may not be satisfied. Edges can generally consider algorithms such as curvature, calipers, edge point detectors, etc. Mainly depends on the specific test items. Some requirements are simple, while others are more complex.

Rubber sealing ring case based on machine vision

The machine vision application project of rubber ring defect detection in this case. Mainly detect the appearance of cylindrical samples with a diameter of 7.20* 2.70mm thickness in the production process of rubber seals, and the detection speed is 200-280 pieces per minute.

Detection effect