a close up of a bottle of wine

SolVisionCase Study

Food and Beverage | Pharmaceuticals and Medical

Bottle Cap Inspection Using OCR

Case

Product Labeling Requirements

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

Aluminum cover printing inspection and OCR identification case

Incorrect

Defect Detection

Aluminum cover printing inspection and OCR identification case

Missing

Aluminum cover printing inspection and OCR identification case

Smudged

Aluminum cover printing inspection and OCR identification case

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.
Related Posts
  • person holding tool during daytime

    Visual Inspection of Automotive Weld Beads

    Powered by AI, SolVision deep learning software trains an AI model by simulating potential weld bead defects in random brightness conditions
    SolVisionAutomotiveCase StudiesDefect DetectionVision Guided Robotics

  • PCB Inspection Using AI

    SolVision enhances PCB inspection efficiency and accuracy by identifying defective PCB components in real-time through AI vision and advanced image processing.
    SolVisionCase StudiesDefect DetectionElectronics

  • Deep Learning Inspection of Liquid Biotech Medicines

    SolVision’s deep learning facilitates the recognition of varying colored liquids and sedimentation levels for accurate classification and quality control
    SolVisionCase StudiesPharmaceuticals and MedicalPresence/Absence

  • IC Tray Inspection Using AI

    SolVision employs AI to enhance IC tray inspection, ensuring precise detection and elevating quality assurance standards in the semiconductor industry.
    SolVisionCase StudiesPresence/AbsenceQuality/Safety InspectionSemiconductors