Industrial Scan Camera Surface Defect Detection Machine For Lead Washer

Industrial Scan Camera Surface Defect Detection Machine For Lead Washer

Detection function diagram and principle

There is a 2 million pixel camera at the top and bottom. After the system collects the sample image, it judges the good and the defective products through the AI deep learning detection system, and detects the defective products online and automatically rejects them.The counting function can be achieved after the finished product is detected, and the counting accuracy rate is 100%.The software will open the sample detection standards, and the production personnel on the customer site can control the defect rate though the accuracy of the comparison and select the accuracy standard most suitable for their own production conditions.

Gaskets are mechanical seals between two objects, usually used to prevent pressure, corrosion, and natural thermal expansion and contraction of pipes between two objects and leakage. Since the machined surface cannot be perfect, the irregularities can be filled with spacers. Gaskets are usually made from sheet materials such as pad paper, rubber, silicone rubber, metal, cork, felt, neoprene, nitrile rubber, fiberglass plastic polymers.

Basic principles of detection:

After the lead coil moving to the designated station, it is held by the clamping mechanism and controlled by a servo motor to rotate for a full circle. At the same time, there is a light source on the side, and the line scan camera captures images at the same time to get a high-resolution scan of the coil side.The detection software compares this image with the standard sample image and detects the corresponding defects.

An area scan camera at the top and bottom of the coil collects and recognizes images from the top and bottom, using artificial intelligence AI algorithms to identify defects and propose defective products.

Detection system function

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The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 7 PhDs, ensuring that the AI algorithm has the ability to continuously update.

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