SolVision

  • 100 mL sodium chloride IV bag containing intravenous solution, representing the pharmaceutical product inspected for foreign particles using SolVision.

    IV Bag Inspection Using AI

    Small foreign particles and variations in IV bag colors make manual inspection challenging. SolVision combines AI-based machine vision with automated optical inspection to detect contaminants accurately and meet demanding pharmaceutical quality control requirements.

  • Coffee capsules in different colors and orientations illustrate the reflective aluminum surfaces and visual variations involved in automated coffee capsule inspection.

    Automated Coffee Capsule Inspection and Classification Using AI Vision

    Reflective aluminum surfaces and subtle color differences complicate coffee capsule packaging inspection. SolVision uses AI-based machine vision to verify capsule types, detect missing capsules, and identify incorrect tray arrangements.

  • Brown chicken eggs arranged in a tray, representing eggshell quality inspection and grading before distribution.

    AI Egg Inspection for Automated Eggshell Defect Detection and Classification

    Automated eggshell inspection helps producers maintain consistent quality grading on high-speed production lines. SolVision uses deep learning to detect cracks and pores, classify eggs by shell condition, and reduce reliance on manual inspection.

  • Chicken nuggets shown as the inspection object in an AI-based processed food inspection application.

    AI-Based Processed Food Inspection for Conveyor Production Lines

    SolVision uses AI-based machine vision to inspect processed foods on moving conveyor lines, identifying visual defects such as overcooking, burning, grease, and conjoined products despite variations in appearance and position.

  • SolVision uses OCR to recognize and digitize printed text and numbers during electronics product label inspection.

    AI Product Label Inspection with OCR and Defect Detection

    SolVision combines AI-based OCR and defect detection to inspect electronics product labels, identify damaged characters, and digitize printed information for production and inventory management.

  • Close-up of a printed circuit board with integrated circuits, resistors, capacitors, and other electronic components.

    AI PCB Inspection for Missing Components and Assembly Errors

    SolVision inspects assembled PCBs for missing components and assembly errors, supporting consistent quality checks across varied board layouts.

  • 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.