AI Vision Inspection System

Product, Label & Packaging Inspection

Let the machine read products, labels and packaging

Designed for identification, judgement and quality inspection on food packaging and automation lines, the system uses industrial cameras, vision algorithms and AI models to recognise and judge products, packaging, labels and production status, then passes the result to a PLC, reject mechanism or host system.

Many quality decisions on packaging lines still rely on human operators. As product variety grows and throughput increases, manual inspection becomes vulnerable to fatigue, differences in experience and site conditions. The NCN AI vision inspection system moves that judgement from human observation to automatic, data-based decision.

It can operate as a standalone inspection station or be combined with weighing, print-and-apply labelling, metal detection, X-ray inspection and traceability systems.

Core capabilities

1. Product identification – determines the product category from appearance, shape and packaging features.
2. Label inspection – checks whether a label exists, whether its position is acceptable and whether the count is correct.
3. Packaging inspection – automatically judges packaging condition, appearance and defined regions.
4. Result linkage – connects to alarms, reject mechanisms, PLC and production management systems.

What it inspects

1. Product category – identifies model, variety or pack type as the basis for weighing, printing and labelling.
2. Label presence – confirms labelling was completed, reducing unlabelled products reaching the next process.
3. Label count – verifies the required number of labels and flags missing ones.
4. Label position – checks the label sits within the required area.
5. Packaging condition – inspects defined packaging features, items defined per sample.
6. Custom inspection items – inspection logic built around your actual production problem and validated by sample testing.

Actual inspection items depend on the product, packaging format, throughput and site environment.

Inspection workflow

1. Product arrival – product reaches the inspection station.
2. Image capture – camera acquires the product image.
3. AI analysis – algorithm performs recognition and comparison.
4. Result judgement – outputs an OK or NG result.
5. Equipment linkage – alarm, rejection or data recording.

System integration

AI vision is not an isolated camera. On a real line, inspection usually has to work together with equipment control, print-and-apply labelling and data systems:

• Linkage with conveyor and PLC
• Linkage with the weighing system
• Linkage with the online print-and-apply labeller
• Linkage with the automatic reject mechanism
• Automatic recording of inspection results
• Optional connection to MES or a database

Typical system configuration

• Vision capture – industrial camera, lens, light source and mounting structure, selected for the product and inspection area.
• Inspection algorithms – rule-based vision logic and AI models tuned on your product samples.
• Control and output – PLC interface, reject control, alarm and data output.

FAQ

Can it detect a missing or misplaced label after labelling?

Yes. Post-labelling verification covers label presence, count, position, OCR and barcode or QR code reading, with results linked to alarm, rejection and data logging.

Do we need a large number of sample images?

Sample requirements depend on the inspection item and product variation. Logic is built from real samples and validated through sample testing before delivery.

Can it work with our existing labeller or checkweigher?

Yes. The system can be integrated with existing conveying, weighing, print-and-apply and rejection equipment via PLC and interfaces.

What happens when a product fails inspection?

The NG result can trigger an alarm, activate a reject mechanism, or simply be recorded, depending on your configuration.

Can results be traced back?

Inspection results can be stored and linked with SKU, weight, label and time data to support traceability and MES integration.

Submit your inspection requirement