Computer-vision QA for garment lines

Catch every defect
before it ships.

VisionX inspects every garment as it comes off the line and identifies defects in seconds. Your QC team confirms every finding, so the quality record you share with buyers is one you can stand behind.

VisionX AI
78% of today's target inspected
Camera · station 03QC line
AD
stain 95%
stain 91%
loose thread 86%
spot 44%
LIVE6240 × 4160
LAST CAPTURE
1.80 s 4 found
Capture0.42 s
Resize0.18 s
Detect1.12 s
Save0.08 s

Detected defects 4 found

Stain95% confidence
True positive
Stain91% confidence
True positive
Loose thread86% confidence
Pending
Spot44% confidence
Low confidence
RetryDone
Captures this shift+10% vs last shift
312inspected · 34 defected
26 MPEvery garment captured in full detail, sharp enough for the smallest defects
Under 2 sFrom capture to a recorded, reviewable result for each garment
3 stationsGarment inspection, fabric roll inspection and shade consistency
100%Every AI finding confirmed or corrected by your QC team before it counts
How VisionX works

From camera to quality record in four steps.

One station on the line. The operator places a garment and presses capture; VisionX handles everything else in seconds.

01

Capture

An industrial camera above the station shows a live preview and captures the garment in full detail on demand.

Live previewFull resolutionOne press
02

Detect

Detection models trained on garment defects scan the full frame and mark each finding with its type, location and confidence.

On-premise AIView awareSeconds per garment
03

Review

Findings appear on an editable canvas. The operator confirms or rejects each one and draws anything the model missed.

True positiveFalse positiveManual
04

Record

Every reviewed result is stored with its image and becomes part of your searchable quality history and reports.

HistoryAccuracyExport
1.80 stypical time per garment, measured on every capture
Capture · 0.42 s
Prepare
Detect · 1.12 s
Save
Station cameraPrepare · 0.18 sDetection engineSave · 0.08 s
Product demo

Watch one garment go through the line.

Under three minutes, recorded on a working QC station: live capture, detection, operator review and the report it ends up in.

stain 91%
Recorded on station QC-032:48

VisionX in production: one full inspection cycle

00:00 / 02:48   ·   HD   ·   CC
Real hardwareA production station: camera, operator screen and on-premise server.
Real garmentsDenim panels from a live production run, captured in full detail.
Real timingsEvery number on screen was recorded by the station, not staged.
Defect detection results

Every finding, located, scored and verified.

From the inspection above. Each finding carries its defect type, confidence, exact position and the operator's verdict.

Stain True positive

Confidence95%
Region
Waistband, left
Box
1404, 408 · 273×390

Stain True positive

Confidence91%
Region
Yoke, right
Box
4617, 779 · 335×546

Loose thread Pending

Confidence86%
Region
Centre-back seam
Box
3057, 1228 · 179×452

Spot Low confidence

Confidence44%
Region
Seat, centre
Box
3139, 3380 · 148×152
Supported defect classes
StainHoleTearLoose threadWrinkleSpotShade mismatch+ custom per station

Defect classes follow each station's inspection profile and can be tailored to your product range. Anything the model misses can be drawn in by hand.

Stations

One platform, three kinds of inspection.

Each station is configured centrally: its camera, its inspection profile and its calibration, managed from one admin panel.

QC LINE
stain 88%

QC line

Garment-level defect detection that recognizes which side and panel it is looking at and inspects accordingly.

  • DetectsSurface and stitching defects
  • CameraSingle or dual
  • OutputLocated, scored findings
Fabric inspection station with three cameras above the light tableFABRIC LINE

Fabric station

Three synchronized cameras cover the full fabric width and capture automatically as the roll moves through.

  • CamerasThree, synchronized
  • CaptureAutomatic, per roll
  • CoverageFull fabric width

Shade line

Checks colour consistency region by region against a style profile built from your approved reference swatches.

  • MethodColour difference per region
  • ReferenceApproved swatches
  • ResultMatch or mismatch
Quality control workflow

Reports your QC manager can act on.

Because every finding is reviewed, VisionX measures its own accuracy. Managers see throughput, defect trends and detection accuracy per station.

Review funnel Jun 1 – Aug 31, 2026

1,284Captured
356Flagged by AI · 27.7%
289Confirmed by operator · 81.2%

Recent detections View all

ImageIDCapturedDefectsStatus
#1284Today, 09:414Defected
#1283Today, 09:380Acceptable
#1282Today, 09:361Defected

Detection accuracy Model precision

94.8%
Stain412
Loose thread268
Hole131
Spot97

Defects per day Last 7 days

Mon
Tue
Wed
Thu
Fri
Sat
Sun
Technology

Runs on your factory floor, not in someone's cloud.

Four services on your own network. Images never leave the building.

camera

Station camera

Capture, live preview, focus and colour calibration, mounted at the station.

station app

Operator web app

Capture screen, review canvas, history, reports and admin, in the browser.

platform

VisionX API

Access control, per-station configuration, image storage and inspection records.

ai engine

Detection engine

Runs the detection models, shade checks and camera calibration on your server.

On-premiseDocker stack on a local server, deployed per factory.
EncryptedTLS across the station, the API and the camera box.
Role-based accessAdmin, QC manager and QC line operator roles.
Licensed per siteOffline grace period keeps the line running.
Get started

Bring AI inspection to your production line.

Our team handles installation, calibration to your garments and training for your QC operators. Your line delivers reliable inspection data from the first shift.

Book a line demo

Tell us about your line and we will get back to you within one business day.