01
Board orientation
Detect whether sheets reach converting equipment inverted and verify the correct board using image references, 1D/2D codes or OCR.
Vision for packaging
Quality control for corrugated-board production.
MCM develops tailored and replicable inspection systems for packaging and corrugated-board lines. The goal is practical: collect repeatable quality information in real time, detect defects earlier and connect the decision to the production process.
PDF overview with the packaging inspection range, typical checks and production-line applications.
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Packaging Inspection Solution Sheet
Download the uploaded PDF from the Customizer with the packaging inspection range, typical checks and production-line applications.
Packaging engineering
Inspection around the real converting process.
MCM's packaging work covers more than a single camera check. Depending on the machine and product, the system can verify board orientation, print and registration, barcodes and OCR, glue presence, crease quality, dimensions, stack curvature and process defects.
The inspection method is selected around the defect and line conditions. Projects can combine 2D vision, 3D laser triangulation, linear cameras, controlled industrial lighting and artificial-intelligence classification with production I/O and traceability.
Real MCM installations
Packaging inspection built for the production floor.
These photographs show real MCM equipment and corrugated-board inspection environments. They illustrate the type of installation, controlled illumination and line access considered during packaging projects.
What can be controlled?
Packaging defects and measurements MCM has addressed.
The exact scope depends on the product, machine and acceptance criteria. These are established examples from MCM's packaging work.
02
Print & registration
Measure print lag, compare colour or artwork and check registration against configured references.
03
Glue & gap
Inspect glue presence and gap conditions in case-making applications.
04
Crease quality
Measure and track crease functionality with configurable limits, repeatable measurements and production-order history.
05
Stack curvature
Measure upper stack curvature after the corrugator using 3D laser triangulation without stopping the stack.
06
Process defects
Use controlled lighting and image analysis to identify defects caused by the process or raw material and classify them for action.
Packaging systems
Inline and offline tools for different quality-control tasks.
Some systems inspect continuously on the production line; others provide controlled measurement away from the line. MCM adapts the architecture to the required decision.
PKG_01
Unglued Detector
Inline system installed inside the corrugator to detect process or raw-material defects. The documented configuration uses two high-resolution linear cameras, dark-field industrial lighting and AI-based image processing.
- Inspection width up to 3 m
- Documented line speed up to 300 m/min
- Configurable I/O and corrugator interaction
PKG_02
Check Inversion
Vision system that verifies whether sheets reach the die-cutter inverted. It can also decode 1D/2D barcodes and OCR, measure print lag, run registration checks and warn or stop the machine when required.
- Image/reference or board-bend test
- Barcode, OCR and registration checks
- Case-maker glue presence and gap checks
PKG_03
Curvature Meter
3D measurement system for tracking the upper curvature of sheet stacks after the corrugator. Laser triangulation provides measurement without stopping the stack.
- Up to four stacks simultaneously
- Projected-laser triangulation
- Production-system communication for stack tracking
PKG_04
Crease Meter
Portable measurement system for checking crease functionality, correlated behaviour and washboard with configurable test limits and automatic calibration.
- Portable production tool
- Repeatable and reproducible measurements
- Database tracking by date, customer or production order
PKG_05
Industrial Scanner
Complete offline tester for a sheet or board. A variety editor configures the required tests and acceptance limits for each product.
- Colour tests using RGB and colour-lag checks
- Dimensions and variety control
- Production tracking and Industry 4.0 compatibility
PKG_06
In-line Bend Meter
On-the-fly curvature measurement for individual boards, with differentiated left, centre and right values and configurable warning or stop limits.
- Curvature value on every board
- Compare left, centre and right behaviour
- Configurable warnings and machine stops
PKG_07
Gap Inspection
End-of-process inspection for checking corrugated-board gap before palletising against configured lower, upper and position limits.
- Lower and upper gap limits
- Position verification
- Objective check before palletising
Software, recipes & production records
The inspection result is more useful when the product context is stored with it.
Documented MCM packaging software includes product databases, manufacturing codes, production history, configurable tests, user management, camera control and images of recent rejections. This lets the quality decision be connected to the product variety and the production record.
Inline example
Unglued detection inside the corrugator.
The documented Unglued Detector is designed to work inside the corrugator. Two high-resolution linear cameras acquire the surface while industrial dark-field lighting highlights defects and reduces sensitivity to external lighting disturbances.
The acquired images can be processed by an AI-based system trained to learn new defect classes and decide what should be approved or rejected. The system can exchange size and speed information with the line and use configurable I/O to warn, slow down or stop the corrugator where the installation allows it.
Documented corrugator application
Detect Simple-Face and liner defects before they move downstream.
A documented project developed by SAICA PACK and MCM Systems applies industrial vision to corrugator defects that can be difficult for operators to see while they are being produced. The inspection concept covers both Single Facers and the outfeed of the Double Backer, with detected failures made visible at the main control desk.
Real defect samples
Defect classes documented in the corrugator detection project.
The system was trained around real corrugated-board defects. The examples below come from the documented project material and show the type of variation the inspection has to distinguish on the moving web.
From detection to production action
Detection can be connected to the corrugator response.
For massive delamination, the documented system learning was used to detect the condition and trigger the response selected by the production team. The project material lists slowdown, stop and rotary-shear actions, while a downstream reject after cut-off was identified as an option to investigate.
01
Warn earlier
Make defects visible to the Single Facer or corrugator team while there is still time to correct the process.
02
Segregate defects
Identify non-conforming material at the corrugator so it does not continue unnoticed to conversion or the customer.
03
React through the line
Where the production architecture allows it, detection can support a defined slowdown, stop or cutting action.
How the project connects
Inspection, production data and action belong to the same system.
01
Acquire
Cameras, 3D sensors or measurement tools capture the characteristic that matters.
02
Evaluate
Configured limits, image processing or AI classification turn the measurement into a quality decision.
03
Act
The result can warn the operator, stop or slow the machine, or connect to a reject mechanism depending on the project.
04
Track
Production-order data, results and defect history can be stored or exchanged with the customer’s management system.
Related MCM capabilities
Packaging projects can combine several MCM technologies.
If the requirement goes beyond one packaging product, the application can be developed as a wider machine-vision, testing or traceability project.
Your packaging application
Show MCM the board, defect and line conditions.
Share representative good and bad samples, approximate dimensions, line speed and the action required after detection. MCM can then define the most practical inspection route.
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