Chemical / Materials Inspection Solution

High-speed inspection of crystals, granules and surface defects.

Feedback from real lines and real scenes can't be bought.
Eight years on the floor, line by line — hard-won engineering experience.
Full-stack in-house — the whole chain from sensor to world model is ours.
100M+ real industrial data points continuously refine one world model.

Key checks · KEY CHECKS

Surface: bubbles / impurities / color shiftRoll / film continuous-defect detectionDrum / bag seal inspectionLabels & hazmat markingsLine inspection & leak detectionGauge & liquid-level reading

Recommended systems: SkyVision · AOI software

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Case studies

Chemicals & materials · web and surface

From low-contrast coating edges and web pinholes to endlessly varied surface flaws — learn only good units and still catch defects you've never seen.

Scene · surface anomaly

A materials maker · textured-surface defects

ChallengeSurface defects are endlessly varied and never fully sampled, and strong background texture masks tiny flaws.

SolutionAPDT positive-sample learning trains on good units only, yet localises defect shapes it has never seen.

99%+Image AUROC

✓Good-only

✓Transferable

Scene · coating & web

A coating-web plant · in-line coating inspection

ChallengePinholes, agglomerates and edge waves are micron-scale; coating-to-substrate contrast is faint and high-speed web is unstable.

Solution3D AI-AOI fuses point clouds with weak-contrast channel enhancement for micron-grade in-line web inspection.

50μmMin defect

400m/minLine speed

97%+Accuracy

Scene · printed film

A printed-film plant · cutting false calls on fast web

ChallengeOn fast-moving printed film, excess false calls mean stoppage and waste — and accuracy must hold across shifts and SKUs.

SolutionAI-AOI learns the normal variation across presses and materials to drive down false calls on fast web.

>95%Detection

−28%False calls

100%Full-width

Cases are anonymised industry scenarios; the figures are typical ranges achievable with WeLinkirt DaoAI solutions.

In-depth cases · IN-DEPTH

Chemical / Materials · in-depth cases

Each case breaks down the path to deployment in a real scenario — industry context, pain points, the DaoAI solution and the results.

Chemical and materials production line inspection

Chemical · 2026-04-27

Unsupervised Anomaly Detection on Textured Surfaces: Learn Good Only, Localize Unseen Defects

A materials plant faced complex surface textures and an endless variety of defect shapes that defy sample collection. DaoAI APDT learns from good products only, holding image-level AUROC above 99% with transferable coverage across new batches.

Smart manufacturing line with AI visual inspection

Chemical · 2026-04-25

Low-contrast Coating Boundary Detection: Dominant-channel Enhancement, 95%+ Recall on Faint Edges

A coating web plant struggled with near-zero color difference between coating and substrate, leaving edges, skips and shrinkage nearly invisible in grayscale. DaoAI's dominant-channel enhancement amplifies the faint signal, lifting boundary defect recall above 95%.

DaoAI smart factory with robotic visual inspection

Chemical · 2026-04-23

Web Coating Pinhole/Agglomerate Detection: 3D Point-cloud Fusion, >50μm at Line Speed

At a coating web plant, pinholes and agglomerates are micron-scale 3D defects that 2D imaging cannot tell apart from stains. DaoAI's 3D point-cloud fusion detects >50μm defects online at 120–400 m/min, resolving pits and bumps unambiguously.

DaoAI 2D AI-AOI automated optical inspection system

Chemical · 2026-04-21

Print Film/Label Web False-alarm Reduction: Learn Per-machine Normal Variation, −28% False Alarms

A print film plant runs many machines and materials, where normal color and pattern variation was flagged as defects by the old system. DaoAI learns the normal-variation baseline per machine and material, cutting false alarms by 28% with 100% full-width online coverage.

AI inspection control and monitoring console

Chemical · 2026-04-19

Glass/Nonwoven Surface Defect Detection: Few-shot Go-live, 94%+ Recall

A materials plant had scarce, highly variable defect samples on glass and nonwoven. DaoAI combined few-shot learning with good-only anomaly detection for fast go-live, reaching 94%+ recall on semi-transparent and weak-texture surfaces.

FAQ

Chemical / Materials · AI Visual Inspection FAQ

What defects does AI vision detect in chemicals and materials?

It covers 3D inspection of web pinholes and agglomerates, low-contrast coating boundaries, false-call reduction on printed film, few-shot defects on glass and nonwovens, and unsupervised texture anomaly detection.

Material surfaces are continuous textures and defects have no fixed shape — how does AI inspect them?

DaoAI uses unsupervised anomaly detection to learn the normal texture distribution and flags deviations, finding novel flaws without enumerating defect types.

On fast web lines, how are tiny pinholes and agglomerates kept from escaping?

DaoAI 3D inspection captures pinholes, agglomerates and bumps on fast-moving webs, with real-time localization for continuous full-width coverage.

Low-contrast coatings and printed film generate many false calls, how are they reduced?

DaoAI separates true defects from normal printing and coating variation with deep models, sharply cutting false calls so limited review effort targets real issues.