Sub-mm detection
Detect scratches, dents, burrs, porosity, and stains down to 0.1mm.
Surface Defect Identification
Surface Inspection
Identify Anomalies Without Defined Geometries (AI Defect Detection)
Surface Defect Identification
Overview
Surface defect detection is a common Quality Control Parameter followed in almost all industries for their parts. Manual identification is tedious and expensive. Today’s machine vision systems don’t offer the accuracies and consistencies that are required. Our specially designed solution for Surface Anomaly Detection offers the combination of easy training and highly accurate detection making even the most challenging detection application a breeze.
Capabilities
What this solution delivers
Line-speed inspection
Inspect 100% of parts at production speed without becoming the bottleneck.
Self-improving AI
Models adapt to new defect types as they appear, improving over time.
Typical applications
Where it’s used
Castings & forgings
Machined & turned parts
Painted & coated surfaces
Sheet metal & strip
Glass & plastic mouldings
Cylinders & vessels
Proven in production
Case studies & app notes
Case studies
AUTOMOTIVE INDUSTRIESCASE STUDYSpark Plug End-of-Line Inspection
May 4, 2026READ →
FMCGCASE STUDYAI Machine Vision for Multi-Variant Packaging Inspection
Jul 23, 2026READ →
ENGINEERING TOOLSCASE STUDYInspection of Tapered Roller Bearings for a Global Bearings Manufacturer
Sep 7, 2022READ →
STEEL INDUSTRIESCASE STUDYAutomated Steel Strip Inspection Using AI and Vision System
Sep 15, 2022READ →
OIL AND GASCASE STUDYSurface Inspection of LPG Cylinders Using Machine Vision & AI
Jan 12, 2022READ →
ENGINEERING TOOLSCASE STUDYDefect Inspection on Protein Filter- Case Study
August 12, 2021READ →
App notes
PHARMAAPP NOTEAI-Powered Inline Vision Inspection for Pharmaceutical Blister Pack Packaging
100% automated inspection of blister cavities, foil seal integrity, and print quality at full production line speed — with a complete 21 CFR Part 11 audit trail.
READ →
PHARMAAPP NOTEVisual Inspection Automation for Pharmaceutical Vials & Ampoules
Automated cosmetic, container, and particulate inspection of glass vials and ampoules at injectable line speed — with a validated audit trail per USP <790> and EU GMP Annex 1.
READ →
BEARINGSAPP NOTEBearing Ring Inspection — Inline Raceway Surface & Bore Dimensional Inspection
Dual-pass inline inspection of inner race raceway surface defects and bore dimensions — replacing manual gauging with 100% coverage and IATF 16949-compliant per-ring traceability.
READ →
AI-POWEREDAPP NOTEAI-Powered Label Print Inspection
100% inline verification of label print quality, OCR/OCV text accuracy, barcode grades, and colour deviation (ΔE < 2) at press speeds up to 150 m/min.
READ →
CONSUMER ELECTRONICSAPP NOTEBlack Dot Detection on Plastic Tubes
360° camera ring with AI defect detection identifying black dots, scratches, pits, and gel inclusions < 0.1 mm on plastic tubes at 30–50 fps inline.
READ →
STEELAPP NOTEAI Vision Inspection for Metal Bar Fabrication
Five-station AI vision architecture covering pre-cut surface inspection, cutting accuracy, weld quality, frame assembly, and dimensional traceability — ISO 3834 and ISO 9013 compliant.
READ →
INDUSTRYAPP NOTENIR/SWIR Spectral Imaging for Automatic Polymer Identification
SWIR camera operating at 900–1700 nm classifies PET, HDPE, PVC, PP, LDPE, PS, and black plastics at 30+ fps — achieving 95%+ accuracy regardless of colour, dirt, or shape.
READ →
AI-POWEREDAPP NOTEAI-Powered Final Assembly Line Inspection
Three-zone AI-powered architecture verifying gap & flush measurement (±0.1 mm), surface defect detection, and VIN-linked traceability on automotive final assembly — within takt time.
READ →
SEMICONDUCTORAPP NOTEAI-Powered Incoming Parts Inspection for High-Mix Precision Component Supply Chains
Reference-based, CAD-driven vision inspection for semiconductor capital equipment receiving — scaling visual QC across thousands of SKUs without enumerating every defect type in advance.
READ →
Have a similar application?
Send us your part and inspection goal — we’ll share the most relevant note and a feasibility view.