Pharmaceutical/Medical

Vaccine Kit Package Printing Inspection

Detect cosmetic or printing defects

Machine vision system reading OCR codes on vaccine kits

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Deep Learning

深度學習

Cognex ViDi 是基於深度學習的圖像分析軟體,專為製造業而設計。

MX-1502 系列

MX-1502 具有視覺的行動終端機的讀碼距離最短為 15-30 公分而最遠可達 8 公尺,最適合用來掃描地面標籤上的條碼、高架上的貨架標籤和天花板懸掛的標誌。

Whether wrapped or not, there is typically a lot of printing on the secondary container, including text, logos, and artwork. Labelling and printing onto these surfaces can be challenging due to packaging substrates and the size or font of text, artwork or codes that need to be applied. Some surfaces may be reflective, curved, and hard to mark.

Given the complexity of the package’s visual appearance, quality control typically involves checking a sample of packages on the line against a golden model, generally kept offsite. This is a complex and time-consuming process.

Poorly printed, hard to read, or faulty codes, text, or artwork can lead to customer dissatisfaction and in some cases product recalls.

Optical character recognition (OCR) and optical character verification (OCV) can read and confirm printed information and verify the quality of mandatory printed elements such as logos, date/lot information, and other graphics. These code reading tools are available in a wide range of Cognex In-Sight vision systems.

Challenging text strings are often best addressed with Cognex Deep Learning. The deep learning OCR tool reliably deciphers human-readable codes marked on challenging surfaces and under variable lighting conditions. Using the pre-trained font library, the OCR tool reliably reads characters such as a smeared inkjet-printed code on a curved surface. The deep learning defect detection tool detects cosmetic defects such as scratches, blotches, color variations, and other damage at the same time.

For anti-counterfeiting and supply chain tracking, vaccine packaging is often marked with covert barcodes visible only in ultraviolet (UV) light. The Cognex MX-1502 UV mobile terminal uses a UV lighting module and lens filter to decode invisible codes quickly and accurately.

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