Why are Plastic Packaging Production Lines Considering Machine Visual Inspection?

When encountering defects in bottles, lids, straws, etc

What testing methods do you know?

Human eye recognition? leak hunting?

But do you know that this method has a very high false detection rate?

Is there a safe and efficient detection method?

A group of innovative pioneers have found the answer

AI visual defect detection

From manual checking to traditional vision inspection, and then to AI, the revolution of defect detection technology

Before the AI visual defect inspection scheme was developed, the defect detection of packaging containers, such as black spots, dirt, flash edges, and missing materials on beverage bottles, mainly relied on manual inspection. Faced with high-intensity repetitive work, manual inspection inevitably leads to errors, and when new defect problems arise, it is difficult for people to effectively and quickly identify them.

However, the market environment is fiercely competitive, and even 0.1% of product defects are not allowed. In order to ensure high quality of products in production, more efficient defect detection solutions must be used.

Faced with the urgent demand of the market, Keye Technology has focused on segmented fields in the past decade and successfully developed diversified AI visual defect detection solutions, leading the world in defect detection technology.

KeyeTech, a professional partner in segmented vision fields

Compared to traditional detection solutions, Keye adopts AI visual defect detection. When faced with new defect detection needs, there is no need to replace the equipment. Instead, the new defects need to be sampled, labeled, and trained, and the data is uploaded to the cloud platform to develop detection templates. When in use, the corresponding detection templates can be retrieved to ensure stable production.

In addition to having detection functions such as black spots, dirt, burrs, missing materials, and factory model numbers, the Keye AI visual defect detection equipment can also count and process qualified products. At the same time, it is also compatible with defect detection of different sizes of bottle caps, truly achieving efficient work with just one device.

Nowadays, more than 2000 companies around the world use Keye's AI visual defect detection equipment. Behind this achievement is not only the result of Keye's ultimate pursuit of technology, but also a reflection of KeyeTech's strong sense of social responsibility.

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