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 combines AI-based OCR and defect detection to inspect electronics product labels, identify damaged characters, and digitize printed information for production and inventory management.
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.
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 using SolVision enables real-time OCR of batch codes and production dates on reflective aluminum caps in high-speed production lines.
Safety needle inspection using SolVision AI enhances defect detection for safety-engineered needles, improving quality control in medical device production.
Drywall panel inspection using SolVision AI enables automated quality control, detecting stains, scratches, and embossing defects in gypsum board manufacturing.
