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.
A national supermarket chain used META-aivi to support planogram compliance through AI-assisted shelf audits, product placement verification, shelf label checks, and stock gap detection.
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.
SolVision enhances cookies quality with AI-powered quality inspection, ensuring consistent appearance and high detection accuracy in snack food production.
International doughnut chain improves checkout efficiency with AI-based automated self-checkout, reducing customer wait times and enhancing store operations.
