With the continuous progress of artificial intelligence technology, to a lot of manufacturing manufacturers to bring convenience, labels as clothing items used to mark the product name, weight, volume, use and other information of the choke tag, then you would never have guessed that in the process of label printing production, often black spots, dirty phenomenon exists, and may even be that the pattern or the text is not clear, fuzzy, outside the scope of the ink printing, the Resulting in labeling scrapped,vision system companies thus greatly increasing production costs.

Visual inspection management system design for China's manufacturing manufacturers have a vital component, it is in the printing industry machine vision system research can be obtained quickly and accurately detect all kinds of bad shortcomings in the printed labels, to improve the quality of their own products and services and production power, down lead to business operating costs. Rapidly complete the product information quality appearance shortcomings detection work, after continuous development needs to be used, fully automated machine vision inspection data technology can be said to be in the production industry in various industry sectors broad prospects, not only the students can provide help enterprises to enhance the power of teaching and learning work, but also to enhance the safety in the production line.

What are the advantages ofautomated inspection system of labels in the production industry:

1. can be completed with higher reliability of product and service quality quality inspection and real-time detection, useful to avoid the development of artificial intelligence detection of subjectivity and individual differences in the process of development.

2. Detection system accuracy can reach the sub-micron level, so that the artificial naked eye detection technology can not really reach a limit, automatic machine learning visual inspection network equipment 24 hours a day to product information on the dimensions of the shape of the dimensions, labels, completeness, and other aspects of the opposite side of the shortcomings of the detection.

3. Digital image processing and computer vision algorithms have been optimized to provide a wider range of more efficient detection functions at the software system level, compensating for the detection capabilities of the machine vision hardware system.

4. Non-contact inspection of products is useful to avoid direct contact between the inspector and the object being inspected, and to avoid secondary damage or human damage to the product.

5. The machine vision inspection system is able to intelligently detect and identify products according to the working environment and the position and orientation information of the product, which is flexible and adjustable in production

The traditional label inspection method adopts manual naked eye detection, low power consumption, high false detection rate, and cannot complete the comparison between the label inspection data and the system data. Can complete the offline and online automatic inspection, standardize the detection of high-power equipment to prevent leakage and misdetection, inspection data can be compared with the system data to ensure the accuracy of the data. Label automatic visual inspection system can real-time statistics of various defects in printed materials, improve product quality and production capacity, reduce enterprise costs.