Quality Inspection

  • Shelves of ribbon materials with varied patterns, textures, and colors used in fabric quality inspection.

    Fabric Defect Detection for Ribbon Quality Inspection Using AI

    A ribbon manufacturer used SolVision to inspect varied colors, patterns, and textures for holes, knots, and broken stitches. AI-based fabric defect detection supported more consistent quality inspection and production traceability.

  • White pharmaceutical tablets prepared for AI tablet inspection during production quality control.

    AI Tablet Inspection for Pharmaceutical Defect Detection

    SolVision enhances tablet inspection with AI for precise defect detection, boosting pharmaceutical production efficiency and accuracy.

  • Screenshot of SolVision AI inspection interface detecting contamination on a returnable glass bottle, with defects highlighted by bounding boxes.

    Returnable Glass Bottle Inspection Using AI

    SolVision enables automated returnable glass bottle inspection using AI-based visual inspection to detect and classify contamination during the bottle reuse process.

  • AI-based bottle cap inspection and OCR system verifying batch and date codes on aluminum caps in high-speed production lines.

    Bottle Cap Inspection Using AI

    AI-based bottle cap inspection using SolVision enables real-time OCR of batch codes and production dates on reflective aluminum caps in high-speed production lines.

  • SolVision AI inspection of safety-engineered needles showing conforming (OK) and non-conforming (NG) components.

    Safety Needle Quality Inspection Using AI

    Safety needle inspection using SolVision AI enhances defect detection for safety-engineered needles, improving quality control in medical device production.

  • META-aivi inspection detects wiring errors and verifies SOP compliance using AR overlays.

    Electrical Wiring Inspection Using AR + AI

    META-aivi uses AR + AI for electrical wiring inspection, detecting errors in real time, standardizing workflows, and improving SOP compliance.

  • SolVision AI identifies surface defects on a drywall panel using bounding boxes to highlight scratches and physical damage during automated inspection.

    Drywall Panel Inspection Using AI

    Drywall panel inspection using SolVision AI enables automated quality control, detecting stains, scratches, and embossing defects in gypsum board manufacturing.

  • Close-up view of a precision machined component showing a localized surface defect highlighted with a circular detection marker.

    Precision Machined Component Defect Detection Using AI

    AI-based precision machined component defect detection using SolVision enables reliable inspection of scratches, tool marks, and surface irregularities.

  • Autonomous mobile robot (AMR) navigating a factory floor, demonstrating Physical AI for real-time internal logistics and material transport.

    Solomon Robotics Suite

    Solomon Robotics Suite is a unified AMR control system that combines SolRobo for robot control and SolSim for simulation in a connected Sim-to-Real workflow for industrial automation.