INDUSTRY

Automotive / Parts

Automotive electronics and parts — inline full inspection of assembly and dimensions.

Inline checks for assembly presence, mis/missing parts and dimensional deviation.

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

Stampings: scratches / dents / burrsWeld-seam & spot-weld qualityPaint: runs / orange-peel / color shiftAssembly: missing & mis-assembled partsThread / hole-position dimensionsConnector & terminal inspection

Recommended systems: 3D AI AOI · Robotic Vision · AOI software

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Case studies

Automotive parts · see, pick, inspect

From adhesive guidance and random bin picking to weld seams and stamped-surface defects — 3D robot vision plus AI-AOI take on what conventional vision cannot.

Scene · in-line adhesive guidance

A tier-1 supplier · real-time adhesive-path correction

ChallengeDispensing robots run pre-programmed paths blind; once the part shifts you get skips, neck-down and misplacement.

Solution3D robot vision measures and corrects as it dispenses (brain-eye-body loop) with in-house 3D cameras and sub-millimetre hand-eye coordination.

100%Inline 100%

±0.5mmBead accuracy

0Skips/misses

Scene · random bin picking

A parts plant · feeding randomly stacked components

ChallengeA bin of randomly stacked, feature-less, reflective parts is simply beyond conventional vision.

Solution3D robot vision estimates 6D pose, locates without features, and guides picking through the brain-eye-body loop.

99%+Pick success

4–8sCycle/part

3DReflective bins

Scene · welds & stamped surfaces

A body-panel plant · weld and stamping inspection

ChallengeWeld shapes vary widely and stamped surfaces carry 0.3 mm scratches and dents; manual reading is inconsistent and customer escapes run high.

SolutionAI-AOI surface inspection plus the world model covers cracks, under-fill, scratches and dents across many classes.

97%Accuracy

0.2%Escapes

0.3mmMin defect

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

In-depth cases · IN-DEPTH

Automotive / Parts · 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.

Industrial robotic arm guided by machine vision

Automotive · 2026-06-06

100% Inline 3D Sealant Inspection: A Brain-Eye-Body Closed Loop Stops Every Break for a Tier-1 Supplier

A Tier-1 supplier's door-panel sealant line was long plagued by skips and misses, driving high downstream leak rework. DaoAI 3D robotic vision uses a brain-eye-body closed loop for 100% inline inspection and real-time robot-path correction, catching every skip and miss while holding bead-width accuracy within ±0.5mm.

Automotive parts manufacturing and AI inspection

Automotive · 2026-06-04

Random Bin Picking: 6D Pose Drives 99%+ Pick Success on Featureless Parts

A parts plant long relied on workers hand-picking metal parts from bins; chaotic poses and featureless surfaces repeatedly blocked automation. DaoAI 3D robotic vision uses 6D pose estimation for random bin picking, holding success above 99% at a 4–8s cycle, finally enabling unmanned loading.

Automotive · 2026-06-02

Body-in-White Weld Seam Inspection via Deep Learning: No Hiding for Cracks or Lack of Fusion

A body-shop plant relied on manual visual checks of body-in-white weld seams, where cracks and lack of fusion slipped through and standards varied by inspector. DaoAI AI-AOI introduced deep-learning seam inspection that detects cracks, lack of fusion and undercut with high accuracy, unifying criteria with traceable data.

Automotive component AI visual inspection

Automotive · 2026-05-31

X-ray Porosity and Inclusion Inspection for Aluminum Die-Castings: Line-Speed Judgment Under 2s per Image

A parts plant needed X-ray to detect internal porosity and inclusions in aluminum die-castings, but manual film reading was slow, subjective and fatigue-prone. DaoAI deep-learning AI-AOI auto-judges X-ray images in under 2s each, deployable at line cadence for 100% inline internal-defect screening.

Collaborative robots in automated production

Automotive · 2026-05-29

0.3mm-Class Surface Defect Inspection for Stamped Sheet Metal: Escape Rate from 2.8% to 0.2%

A body-shop plant faced small, low-contrast scratches and dents on stamped sheet metal, with manual visual escape rates as high as 2.8%. DaoAI AI-AOI delivers 0.3mm-class surface inspection at 97% accuracy, cutting the customer escape rate to 0.2% for stable, controllable appearance-part quality.

FAQ

Automotive / Parts · AI Visual Inspection FAQ

What inspection challenges can AI vision solve for automotive parts?

It covers stamped sheet-metal surface defects, weld-seam quality, sealant bead continuity, X-ray porosity in aluminum die-casting, and 6D pose for part picking. DaoAI handles metallic glare and complex curved surfaces.

Strong metallic glare causes misses in traditional vision, how is that solved?

DaoAI combines multi-angle lighting with feature-cognition deep models to suppress glare, reliably detecting scratches and dents on highly reflective, low-contrast surfaces.

Can weld and sealant inspection achieve 100 percent inline coverage?

Yes. DaoAI 2D / 3D AI-AOI inspects weld formation and sealant continuity on every part within cycle time, replacing sampling and catching skips and broken beads in real time.

How can robotic vision improve loading, unloading and sorting?

DaoAI robotic vision provides 6D pose and bin-picking, guiding robot arms to grasp randomly placed parts precisely for loading and unloading, raising automation throughput.