Bottle cap detector, unmanned and nondestructive detection of various bottle cap defects

November 16, 2022

Based on machine vision technology, the bottle cap detector is a fully automatic detection device for non-contact and non-destructive detection of all kinds of bottle caps. It is an effective means to achieve automation, intelligence and precision control. It has the outstanding advantages of safety, reliability, high speed, high precision, simple and convenient operation, and can work for a long time under complex working conditions.

Compared with the traditional manual detection of bottle cap defects, the bottle cap detector greatly improves the accuracy, shortens the detection time, reduces the material waste and cost expenditure, and can collect, analyze and feed back the work quality of each process in the production process, the type of defects, sample information and other information to the intelligent platform for the process control personnel to analyze and manage, and improve the product quality.

The full-automatic bottle cap detector equipment uses high-performance CCD industrial camera to replace most manual detection, which can detect deformation, roundness, flash, black spot, dirt, material shortage, double gasket detection and other appearance defects. It is suitable for various bottle caps, such as anti-theft caps, combination caps, butterfly caps, drip caps, aluminum plastic caps, etc.

The fully automatic bottle cap detector system can greatly improve the appearance quality of beverage bottles, medicine bottles, daily chemical bottles and other bottles, reduce the outflow of defective products, improve customer satisfaction, significantly reduce labor costs, and reduce the cost of daily chemical, pharmaceutical, beverage and other enterprises. The significant improvement of production efficiency can shorten the product production cycle, improve Party A's satisfaction, obtain more production orders, and bring long-term economic benefits.

Sebelumnya

Berikutnya

Kontal AS

Pengarang:

Mr. Simon Feng

Phone/WhatsApp:

+8613063807111