Surface Inspection

Machine Vision Inspection for Cone Ice Cream Production

AI Machine Vision for Multi-Variant Packaging Inspection

Inspection of Tapered Roller Bearings for a Global Bearings Manufacturer

Automated Steel Strip Inspection Using AI and Vision System

Surface Inspection of LPG Cylinders Using Machine Vision & AI

Defect Inspection on Protein Filter- Case Study

Machine Vision Inspection of Refrigerator Internal Panels

Automated Paint & Surface Inspection for High-Gloss Automotive Finishes

A machine vision architecture for catching high-gloss coating defects — orange peel, craters, pinholes, and micro-scratches — before a panel leaves the paint shop, built by combining photometric multi-illumination imaging, blue-laser 3D triangulation, and deep-learning anomaly detection rather than depending on any single sensing technique.

AI-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.

Visual 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.

Bearing Ring Inspection — Inline Raceway Surface & Bore Dimensional Inspection

Dual-pass inline inspection of inner-race raceway surface defects and bore geometry — replacing sampling-based gauging with full per-ring coverage and an image-and-measurement record aligned to IATF 16949 traceability expectations.

AI-Powered Label Print Inspection: Verifying Every Label at Press Speed

An inline machine vision architecture for label and print lines that combines encoder-triggered line-scan imaging, OCR/OCV text verification, colorimetric ΔE measurement, and ISO/IEC-graded barcode reading — built to inspect every label at press speed instead of a manual sample.

Black Dot & Surface Defect Detection on Extruded Plastic Tubes

A 360° camera ring with a CNN-based defect classifier for catching black dots, specks, scratches, pits, and gel inclusions on extruded plastic tubes — sized against peer-reviewed benchmarks for polymer-tube surface inspection rather than invented precision claims.

AI Vision Inspection for Structural Metal Bar Fabrication

A five-station AI vision architecture for structural metal bar fabrication — covering pre-cut surface inspection, cutting accuracy, in-process and post-weld inspection, and final frame-assembly angle checks — engineered to support ISO 3834 weld-quality documentation and ISO 9013 cutting-tolerance classes.

NIR/SWIR Spectral Imaging for Automatic Polymer Identification

A SWIR camera operating across 900–1700 nm separates PET, HDPE, PVC, PP, LDPE, and PS by their near-infrared absorption chemistry rather than surface colour — the same operating principle used in commercial inline NIR sorters worldwide — while giving an honest accounting of where standard reflectance NIR/SWIR still falls short, most notably on carbon-black-pigmented plastics.

AI-Powered Final Assembly Line Inspection

A three-zone machine vision architecture for automotive final assembly — gap and flush measurement, surface defect detection, and assembly-completeness verification — built to fit inside the line's own takt time and produce a VIN-linked inspection record, rather than lean on a single invented accuracy figure.

AI-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.

Detecting Inner-Liner Defects Before Refrigerator Foam Filling

A feasibility-trial approach for locating cracks, holes, and other discontinuities in refrigerator inner liners before polyurethane foam injection — turning a difficult-to-see condition into a controlled, reviewable pre-foam decision without disclosing customer or production information.