SolVisionCase Study

Food and Beverage | Pharmaceuticals and Medical

OCR Date Reading on Aluminum Bottle Caps

Case

Labeling Requirements for Food, Beverage, and Pharmaceutical Products

Manufacturers are required to include standardized data, such as production details, storage dates, and batch codes, on food, beverage, and pharmaceutical products to ensure safety and traceability. Exporters are also required to maintain production records for declaration and clearance procedures. The clarity and visibility of product information is crucial for compliance across the supply chain, from the factory to the consumer.

Challenge

Date and Batch Code Recognition on Aluminum Bottle Caps

Consumer beverages commonly utilize glass bottles with aluminum caps for packaging. Production and storage dates are typically printed on the side of the cap, while the batch barcode is located on the bottle. The metallic luster and spiral pattern of aluminum caps pose challenges for traditional character recognition, making printed text hard to detect. Moreover, the high-speed nature of beverage production lines further complicates the accurate reading of printed information.

Solution

Enhanced Production Line Inspection with SolVision

SolVision offers a fully automated visual inspection solution, implementing Optical Character Recognition (OCR) through the development of an AI model using sample images of production information. Leveraging advanced image processing capabilities, the software excels in matching the pace of fast production lines, recognizing dates and barcodes even in cases of poor printing. The system can additionally identify defective labels and misprinted information, contributing to enhanced inventory management and tracking capabilities.

Optical Character Recognition

Aluminum cover printing inspection and OCR identification case

Correct

Incorrect

Defect Detection

Missing

Smudged

Skewed

Outcome

SolVision was optimized for fast production lines, ensuring real-time, accurate recognition of crucial information on bottle caps to meet regulatory standards.

The AI-driven system efficiently recognized production and batch details on aluminum bottle caps using Optical Character Recognition for accurate detection and reading.

SolVision not only identified dates and barcodes but also detected defective labels and misprints, enhancing quality control on the production line.

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