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.
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.
An Asia-based frozen food manufacturer used META-aivi to support real-time food quality inspection, helping workers detect foreign objects in ingredients with AI and AR during production.
META-aivi combines AI vision with AR glasses to help operators identify missing or incorrectly placed PCB components while recording inspection results for quality analysis.
See how META-aivi combines AR + AI vision to guide PCB assembly, verify SOP steps in real time, and reduce reliance on post-assembly manual inspection.
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.
