AI-powered visual inspection systems that detect defects in real time — faster, more consistently, and at a fraction of the cost of manual inspection.
From factory floors to food processing lines — our systems work wherever visual quality matters.
Detect surface defects, cracks, dimensional errors, and assembly mistakes on production lines in real time.
Classify produce by size, colour, and defect — or verify pill counts, blister pack integrity, and label accuracy.
Inspect printed circuit boards for solder bridges, missing components, polarity errors, and trace defects.
Detect weaving defects, colour inconsistencies, holes, and pattern mismatches across high-speed fabric rolls.
Verify label placement, barcode readability, fill levels, cap integrity, and expiry date printing.
Inspect castings, stampings, welds, and painted surfaces for dimensional accuracy and surface finish.
Our end-to-end pipeline handles everything from image capture to defect classification and alerting.
Industrial cameras, line-scan sensors, or your existing hardware capture frames at line speed.
OpenCV pipelines normalise lighting, remove noise, and segment regions of interest.
Trained YOLO / CNN models classify defects with confidence scores in under 50ms per frame.
Trigger PLC signals, reject mechanisms, dashboards, or email/SMS alerts based on defect type.
Defect trends, yield rates, and shift reports stored and visualised in a real-time dashboard.