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 sanitary equipment manufacturer automated plastic part transfer with AccuPick, using 3D bin picking to identify changing part positions and guide a UR10 cobot through the picking workflow.
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.
META-aivi uses AI-based vision to count, classify, and verify surgical instruments in real time, helping reduce preparation time and support safer instrument checks before and after surgery.
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.
