Real-time quality inspection
at production-line speed.
Detect defects in real time. Keep the line moving. Build a quality record that holds up to downstream scrutiny.
The cost of missing a defect on a roll.
Night-shift drift
Visual inspectors fatigue. Night-shift performance drops, and the cost only surfaces when a downstream claim arrives.
Downstream cost multiplier
Defects discovered after cutting or dyeing cost many times more than catching them at the roll.
Records that break under pressure
Quality records on paper or scattered spreadsheets break down when a real dispute happens.
Speed without QC scaling
Lines run faster every year, but visual QC headcount cannot scale with speed.
Four things, delivered to your line.
A quality record for every roll
Each roll comes off the line with a complete log: defect type, position, severity rank, meter mark. One click exports a clean PDF or CSV — ready to share with your customer or feed into your MES.
Per-defect drill-in — severity, position by meter, original image. Exportable per roll.
Real-time alerts
The moment a defect appears, it shows up on the operator console and triggers the stack light at the line. The operator decides: continue, mark, or stop. AI provides the evidence; the operator keeps the decision.
The alert card the operator sees the moment a defect appears — ID, category, mm-precise position and dimensions.
Adapts to your line
Run a few rolls of your normal product through the system once — that's all the setup it needs. You don't have to photograph or label every kind of defect. Every operator tap ("real" or "false alarm") fine-tunes it further. Adding a new style takes a shift, not a season.
The operator console — each one-tap confirmation feeds back into the system.
Fits your existing systems
Connects to Huansi and SAP ERP frameworks, standard PLCs, stack-light towers, and any in-house MES via simple data exports. The system fits your factory, not the other way around.
ERP integration ships built-in — set it once in the configuration panel.
A day in three roles.
Operator
- looks_oneStart of shift — select the product and roll on the console.
- looks_twoLine starts. Console shows live footage with defects boxed as they are detected.
- looks_3One tap to confirm "real" or "false alarm". The line continues.
- looks_4End of roll — system shows summary, operator signs off.
QC Supervisor
- looks_oneOpen the shift dashboard at the start of mid-shift review.
- looks_twoSpot-check flagged rolls — view defect images alongside the operator's call.
- looks_3Sign off rolls that match acceptance standards.
- looks_4Export the day's customer-grade quality report in one click.
Production Manager
- looks_oneWeekly: open the trend dashboard.
- looks_twoSlice defect rate by product, customer, line, shift, or machine.
- looks_3Spot rising defect categories before they turn into customer claims.
- looks_4Bring the report to the operations meeting.
What sets AI Inspector apart.
No defect labeling required
Show the system normal samples; it finds what is not normal. Extending to a new product style does not require collecting and labeling defect example images — the cost most off-the-shelf vision systems force on you with every new style.
You define the defect taxonomy
Your QA glossary, your defect names, your grouping logic. The system maps recognized anomalies to the categories you choose — categories, severities, and acceptance thresholds are all configurable. No vendor-imposed defect list.
Your data stays in your factory
All inference, storage, and reporting runs on-premise in the line cabinet. No images, no records, no production data leave the factory. No cloud dependency to break a night shift.
Built for the factory floor
Unattended night-shift operation, bilingual operator interface (Chinese / English), native integration with the ERPs Chinese textile mills already run — Huansi and SAP. Remote support only when you open the door.
Four steps to a working line.
Cabinet on line
One inspection cabinet placed next to the line. No cloud upload, no data leaving your factory.
Cameras & lighting
Cameras and lighting installed once. Calibration done by Pindeed engineers.
Product library
Typical styles run through; the system learns your line.
Secure remote support
Available when invited. The system runs without us.
Works with what you already have.
| System | How we connect |
|---|---|
| ERP systems | Native integration with Huansi ERP. Standard data export to SAP QM module. CSV / API export for any in-house MES. |
| Standard PLC | Receives line speed; sends defect events. |
| Stack-light tower | Configurable alert behavior — colour, blink, buzzer. |
Questions buyers ask first.
How long does deployment take?
Typically 3–4 weeks from contract to commissioning, including hardware installation, line calibration, and initial product library build.
What happens when the AI flags a false alarm?
The operator marks the alert as "false alarm" with one tap. The judgment is recorded and feeds the system's adaptation to your line.
Does my data leave the factory?
No. All inference, storage, and reporting run on the on-premise cabinet. Remote support uses a secure tunnel only when invited.
Can it work with our existing cameras?
A standard installation uses our specified cameras and lighting to guarantee detection quality. Existing camera reuse is evaluated case by case.
What training is required for operators?
A typical operator is productive after 2 hours of training. The system's day-to-day use is one-tap confirm or reject.
Is the system exclusive to one mill?
Each deployment is delivered as a dedicated cabinet per line. License terms are discussed during commercial conversations.
How is AI Inspector priced?
Per-line pricing depends on camera count, line width, and integration scope. We provide a detailed written quote after a line walkthrough — indicative ranges and licensing terms are discussed during the demo.
Is there warranty and ongoing support?
Hardware carries a 12-month warranty. An optional annual support contract covers remote support, priority response, and software updates. Specific terms are confirmed during commercial conversations.