Classification

META-aivi uses AR + AI to identify, classify, and count USB, HDMI, Lightning, and RJ45 cables in electronics manufacturing environments.

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.

Drywall panel inspection using SolVision AI enables automated quality control, detecting stains, scratches, and embossing defects in gypsum board manufacturing.

AI-based precision machined component defect detection using SolVision enables reliable inspection of scratches, tool marks, and surface irregularities.

SolVision AI automates pharmaceutical vial inspection, detecting sedimentation, discoloration, and impurities to ensure consistent quality control.

SolVision AI detects BGA soldering defects, improving inspection consistency, accuracy, and inline quality control in PCB and semiconductor production.

META-aivi optimized metal parts inventory management with AR + AI vision for automated counting, achieving faster, more accurate stocktaking.

SolVision utilizes deep learning technology for enhanced surgical mask inspection, ensuring accurate defect detection and improved quality control.