Defect Detection
AI defect detection answers a problem rules cannot: flaws that never look the same twice, shift position, and hide in background texture. These deployments show manufacturers training detection from a handful of labelled images, then holding accuracy as new defect types appeared.
AI Egg Inspection for Automated Eggshell Defect Detection and Classification
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.
‧
AI-Based Processed Food Inspection for Conveyor Production Lines
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.
‧
AI Product Label Inspection with OCR and Defect Detection
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.
‧
AI PCB Inspection for Missing Components and Assembly Errors
SolVision inspects assembled PCBs for missing components and assembly errors, supporting consistent quality checks across varied board layouts.
‧
Fabric Defect Detection for Ribbon Quality Inspection Using AI
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.
‧
Returnable Glass Bottle Inspection Using AI
SolVision enables automated returnable glass bottle inspection using AI-based visual inspection to detect and classify contamination during the bottle reuse process.
‧
Connectivity Cable Classification Using AR + AI
META-aivi uses AR + AI to identify, classify, and count USB, HDMI, Lightning, and RJ45 cables in electronics manufacturing environments.
‧
Bottle Cap Inspection Using AI
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 Quality Inspection Using AI
Safety needle inspection using SolVision AI enhances defect detection for safety-engineered needles, improving quality control in medical device production.
‧
Drywall Panel Inspection Using AI
Drywall panel inspection using SolVision AI enables automated quality control, detecting stains, scratches, and embossing defects in gypsum board manufacturing.
‧
Precision Machined Component Defect Detection Using AI
AI-based precision machined component defect detection using SolVision enables reliable inspection of scratches, tool marks, and surface irregularities.
‧
CMP Quality Inspection Using AI
SolVision AI-based CMP quality inspection detects wafer scratches and contamination, overcoming limitations of rule-based AOI in semiconductor inspection.
‧
Pharmaceutical Vial Inspection Using AI
SolVision AI automates pharmaceutical vial inspection, detecting sedimentation, discoloration, and impurities to ensure consistent quality control.
‧
Laptop Assembly Verification Using AI
SolVision AI ensures consistent laptop assembly verification, detecting defects in real time to maintain quality and streamline production.
‧
HVAC Welding Quality Inspection Using AI
SolVision AI performs HVAC welding inspection, detecting welding defects in real time to ensure consistent quality and reduce errors and rework.
‧