Case Studies

  • Packaging Seal Inspection Using AI

    Based on deep learning technology, SolVision can determine whether a seal is intact by comparing a perfect packaging with potential variations.

  • A close-up image of a gray shipping container with its unique shipping container number recognized by AI OCR

    ALPR and Shipping Container Number Recognition Using AI

    SolVision’s AI-powered OCR enables precise automatic license plate recognition (ALPR) and shipping container number recognition, enhancing cargo operations.

  • Gray Round Metal Part

    HDD Mounting Bracket Defect Detection Using AI

    SolVision enhances HDD mounting bracket defect detection through advanced AI, ensuring higher standards in electronics manufacturing.

  • PCB Assembly Inspection Using AI

    SolVision optimizes PCB assembly inspection with AI, enhancing accuracy, reducing errors, and boosting efficiency with our rapid learning AI vision system.

  • various colored yarn bobbins

    Yarn Inspection Using AI

    SolVision’s AI technology optimizes yarn inspection by accurately detecting various yarn defects quickly and efficiently, ensuring enhanced quality control.

  • green bottle lot

    Beer Bottle Inspection Using AI

    SolVision enhances beer bottle inspection by detecting stains and mildew in real-time, ensuring precise defect detection on reusable glass bottles.

  • 50ml saline IV bag on blue background

    IV Bag Classification Using AI

    SolVision enables IV bag classification, streamlining sorting processes and ensuring greater accuracy. Explore our advanced AI-based inspection solution.

  • assorted color thread roll on white wooden shelf

    Ribbon Fabric Inspection Using AI

    SolVision enhances ribbon fabric inspection with AI-based defect detection, ensuring quality control for colored and patterned ribbons in textiles production.

  • 3 pairs of ankle socks on a white background

    Socks Defect Detection Using AI

    Solomon’s SolVision AI quickly identifies socks defects with real-time defect detection, improving quality control and efficiency for textile manufacturers.