SolVision

  • black and white labeled box

    AI Inspection Solution for Semiconductor Wafers

    Using SolVision’s AI Inspection Solution, minute defects such as fine scratches can be located and marked on sample images to train the AI model.

  • 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.

  • Worker performing assembly verification on a laptop, representing precision assembly in electronics manufacturing.

    Detecting Faulty and Missing Laptop Components

    For repetitive manual tasks such as in this case, an automated visual inspection can help identify defective products and improve workforce efficiency.

  • 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.