An automated visual inspection station in a garment factory at night, where a pair of jeans is inflated into shape and surrounded by industrial cameras

For garment and textile factories that want steadier quality and less downtime

Let AI watch
over every piece
on your line

Manual inspection is tiring and slow, standards vary from person to person, and the defects that slip through come back as rework and customer complaints. Machines fail without warning and orders slip. WarpDriven Factory AI joins visual quality inspection, equipment health monitoring, RFID warehousing and quality data into one hardware-and-software system that runs locally on your production line.

23+ typesCommon garment defects, tuned to your fabrics and styles
360°Front, back and inside scanned in one pass
Runs locallyEdge inference on an industrial PC, data stays in the factory
Hardware and softwareCameras, stations, algorithms and system delivered together

Does any of this sound familiar?

Quality depends on people watching,
equipment on luck

The bigger the order, the more it rests on the eyes and experience of a few veteran inspectors.

Inspection is tiring and slow, and standards vary by person

The same garment gets a different verdict from a different person or on a different shift, and problems are easier to let through when you are rushing an order.

What we doOne visual model checks every piece. The pass criteria live in the system, and every garment has its images and its record.

Defects that slip through become rework and complaints

Broken threads, skipped stitches, stains and shade differences are found only after shipping, and rework, deductions and lost customers cost more by then.

What we doA 360° scan on three sides before packing, with alarms by defect type, so a faulty piece is stopped on the spot.

Sewing machines fail without warning and orders slip

Equipment condition is opaque, so you repair after it breaks, and over-maintenance and under-maintenance exist side by side.

What we doA vibration and temperature sensor on every motor, analysed at the edge in real time, with early warnings when a fault is only starting.

Stock is counted by hand and the books never match

Finished garments come in many styles, colours and sizes, so manual counts are slow and error-prone, and warehouse and store numbers often disagree.

What we doBulk RFID reads capture goods in, goods out and stocktakes automatically, and the data goes straight into your ERP.

A wide-width fabric inspection line in a textile mill, with denim moving under a light bar and a row of machine-vision cameras
From a roll of cloth to a finished garment,
AI is watching every step.
Fabric inspection · Garment inspection · Size measurement

Six capabilities, used alone or together

Inspection, equipment, warehousing and data,
joined in one system

Start with the one step that hurts most, then extend to the whole line and the whole factory once it works.

01 · AI visual inspection

Piece-by-piece garment checks

Pneumatic shaping and multi-camera scanning cover the front, back and inside. It recognises more than 23 types of common defects, including broken threads, skipped stitches, stains and shade differences, and raises alarms by type.

02 · Fabric inspection

Online inspection of wide fabric

Cloth passes continuously under a light bar and a camera array, and weaving flaws, slubs, stains and shade differences are found automatically, so faulty fabric is picked out before cutting.

03 · AI size measurement

Garment sizes measured automatically

Cameras measure the key dimensions of a garment and compare them with the tech pack, which cuts the time and error of measuring by hand with a tape.

04 · Equipment health monitoring

Early warnings for sewing machines

One three-axis vibration and temperature sensor per motor, connected over an RS485 bus. An industrial PC computes health indicators in real time, abnormalities are alerted by level, and maintenance has evidence to work from.

05 · RFID warehousing and stores

Bulk identification of garments

RFID tags are read in bulk for goods in and out, transfers and stocktakes. Style, colour and size are clear, and warehouse and store stock match in real time.

06 · Quality data platform

See it, then control it

Defect, equipment and output data come together on one dashboard and in quality reports. It connects to your ERP / MES, and for custom needs it can link to WarpDriven Forge.

How AI visual inspection works

One garment,
three sides scanned, judged on the spot

Take a jeans station as the example. The number of stations is set by your output, and you can start with two as a pilot, then scale with capacity.

01

LoadingLoad by hand, check the zip and buttons

The operator hangs the garment on the pneumatic fixture.

02

ShapingInflate and close the curtain

The garment is inflated into shape under fixed lighting, so every piece is photographed the same way.

03

Front scan8–12 cameras shoot at once

High-definition images from several angles are captured in a single pass.

04

Back scanRotated exactly 180°

The back is shot again.

05

Inside scanTurned over automatically and scanned again

Covers inside seams, lining and other places that are easy to miss.

06

Verdict · you set the standardAlarm by type, then unload

Each piece is judged pass or fail against the defect standards and thresholds you confirm, with images and a record kept for every garment and faulty pieces counted by type.

Sewing and structureBroken threads, skipped stitches, uncut thread ends, weak seams, twisting
FabricSlubs, thick places, snagged yarn, damaged elastic fibres
Appearance and colourBleach marks, yellow spots, rust stains, oil stains, colour dots, shiny marks, shade differences, laser marks
Workmanship and shapeTwisted legs, curling hems, holes, exposed lining, creases, wrinkles
Detection methodThree algorithms run in parallel: a defect detection engine, deep-learning classification and colour-difference analysis
How it runsLocal inference on an industrial PC (optimised with TensorRT / OpenVINO), able to connect to a PLC

Want to know how accurate it can be on your products?Send a batch of photos of defective and good samples, and we will run a free assessment.

Book a free line assessment
Rows of sewing machines in a garment workshop at dusk, each motor fitted with a small sensor with a blue indicator light
Know what is wrong with a machine
before it stops.
Vibration · Temperature · Health score · Tiered warnings

Equipment health monitoring

One sensor per motor,
one health map for the whole workshop

A wired bus connection is not bothered by wireless interference in the workshop. Data is computed at the edge before it is uploaded, and raw waveforms never leave the workshop.

Sense

An integrated three-axis vibration, acceleration and temperature sensor with IP67 protection, connected over RS485 / Modbus.

Compute

An industrial PC calculates time-domain and frequency-domain indicators such as RMS, peak and kurtosis in real time, with millisecond threshold alarms done locally.

Manage

Health assessment and life trends, fault warnings and maintenance work orders, dashboards and reports, with a link to your ERP / MES.

A garment warehouse at night, with cartons on a conveyor passing through a glowing RFID reading gate
A whole carton of garments passes one gate,
and style, colour and size are read at once.
Goods in · Transfers · Stocktakes · Stores

How it goes live

From assessment to launch,
every step visible

The hardware can be installed under remote guidance. You only need to arrange one or two electricians to help.

01

1–2 weeksRequirements review

A remote meeting to settle what to inspect, which equipment to monitor and what the goal is.

02

1–2 weeksSolution design

Architecture design, hardware selection and technical review.

03

About 1 week · your decisionQuotation and contract

A detailed quotation with hardware, software and services listed separately, and you sign only after you confirm it.

04

2–3 weeksHardware preparation

Procurement, pre-configuration and international logistics.

05

1–2 weeksOn-site deployment

Installation, commissioning and testing under remote video guidance.

06

2–4 weeksBaseline learning

Collect samples from your real line, calibrate thresholds and tune the models.

07

About 1 weekAcceptance and training

System acceptance, staff training and handover manuals.

08

OngoingContinued support

Technical support, monthly reports and algorithm upgrades.

Why you can trust us

We understand garments, and we understand factories

An Australian company, headquartered in Sydney

Warp Driven Group Pty Ltd (ABN 50 654 759 985) coordinates international projects, and our China team is based in Beijing.

Hardware and software together

Stations, cameras, algorithms and the management system are designed and delivered as one, so you do not have to piece together several suppliers.

Focused on garments and textiles

Algorithms are trained defect type by defect type for garments, with an understanding of sewing processes and fabric behaviour.

Your data stays in the factory

Inference runs locally at the edge, and raw images and waveforms do not leave the factory. We work with the cloud only when needed.

Remote delivery

Multilingual support, video-guided installation and remote commissioning make it workable for factories overseas.

From factory to sales

Beyond the factory floor, it can connect to sales ERP, distribution and overseas operations. See the AI business partner and the distribution system.

Before we work together, you may want to ask

The key questions, answered up front

Which defects can it detect?

Common garment defects fall into four groups and more than 23 types: sewing and structure (broken threads, skipped stitches and so on), fabric (slubs, snagged yarn and so on), appearance and colour (stains, shade differences and so on) and workmanship and shape (twisted legs, creases and so on). The exact list is set by your products and your inspection standards.

How accurate can it be?

It depends on the fabric, the colour and the type of defect, so there is no single answer. We first assess your samples, then learn a baseline from real line data at a pilot station, and the acceptance criteria are written into the contract.

Do we have to change our existing production line?

A visual inspection station can sit in its own place before packing, and the monitoring sensors are added to existing motors, so changes to your production process are generally not needed. We assess it against your site layout.

Where is the data stored, and is it secure?

By default inference and storage happen on an industrial PC in your factory, and raw images and vibration waveforms do not leave the site. Only summarised indicators are uploaded to the management platform, and only with your authorisation.

How soon can we use it?

From requirements review to acceptance and training it usually takes two to three months, depending on the number of stations, hardware delivery and the time needed for baseline learning. You can start with one or two stations as a pilot.

How is it priced?

We quote by the number of stations, the hardware configuration and the scope of service, with hardware, software and services listed separately, and a subscription is also possible. We start with a free assessment, then give you a plan and a quotation, and you decide.

Can it be used outside garment factories?

The visual inspection method applies equally to other products that need appearance checks. Please send sample photos and your inspection standards first, and after assessing them we will tell you whether it can be done.

A modern garment factory campus at dawn, with warm light in the windows and a lorry at the loading dock

Start from the one step that hurts most

Make your factory
steadier, leaner and smarter

A free line assessment: 30 minutes, online.

Email info@warp-driven.comWarp Driven Group Pty Ltd · Headquartered in Sydney