Detect printing defects, incorrectly positioned or applied labels, and errors in variable data at an early stage – with comprehensive 100% inspection at full line speed. Freely programmable or available as a ready-to-use solution.
Machine Vision for Label Inspection
Two Paths to the Right Vision Solution
01
Ensuring Print Quality and Readability
Printing defects, color deviations, or missing content can affect label quality and readability.
02
Reliable Verification of Variable Data
Serial numbers, batch codes, and other variable data must be accurately read and verified on every label.
03
Managing High Production Speeds
Label production lines and conveyor systems transport labels and labeled products at high speeds. This requires reliable 100% inspection in real time.
04
Ensuring Accurate Label Positioning
Labels must be applied correctly and precisely to products to prevent misaligned or incorrectly positioned labels and the resulting rejects.
Our Approaches
Two Paths to the Right Vision Solution
Depending on your integration requirements and project timeline, IMAGO offers two distinct approaches to label inspection.
Open Plattform
Flexible Vision Platform
For OEMs (labeling and printing machine builders) and label manufacturers who require full control over inspection logic, integration, and scalability.
- Freely programmable with the IMAGO ViewIT software framework, C++, Python, and HALCON – no black box, full control
- Multiple inspection tasks on a single device – for example print inspection, OCR, code reading, and label position verification
- Portable across all IMAGO devices, with OPC UA and REST connectivity for Industry 4.0 integration
- Long-term availability, including ODM (Original Design Manufacturer) variants for serial machine production
Ready to use
Preconfigured Solution
For users with a specific label inspection challenge who need fast and reliable results without extensive in-house development.
- Deep-learning inspection of print defects and visual anomalies without programming using a web-based GUI
- Fast deployment with minimal lead time and a clear focus on rapid time-to-market
- Reliably detects printing defects and deviations in label appearance, color, and surface quality
- Consulting and support from the experienced IMAGO engineering team – robust hardware made in Germany
Decision Guide
What Is Your Goal?
Choose the approach that best fits your project – both lead to a reliable inspection solution.
Maximum Flexibility
You develop your own inspection solutions or integrate machine vision deeply into your labeling or printing machinery.
Fast Implementation
You have a specific inspection task – such as print defect detection or label quality inspection – and need a ready-to-use system quickly.
Differentiation
Why IMAGO for Label Inspection?
Hardware, software, and system integration work together to ensure reliable inspection and consistent label quality at high production speeds.
Open Software Framework
Freely programmable instead of a black box – full control over every inspection task on the line.
Multiple Tasks, One System
OCR, code reading, quality control, and AI inspection run on the same hardware instead of multiple systems.
Long-Term Availability
ODM variants and long product life cycles for serial machines and global rollouts.
Future-Proof Architecture
Scalable platform without vendor lock-in that grows with your requirements.
High-Speed-Vision
Hundreds of products per minute with processing power directly in the camera or box PC.
Applications
Typical Applications in Label Inspection
IMAGO vision systems are used in these four application areas of label inspection. This is only a small selection of what machine vision enables today.
Label Presence and Position Inspection
Labels are reliably checked for presence, correct positioning, and alignment, enabling early detection of missing, skewed, or incorrectly positioned labels.
Print Quality and Text Inspection
Printed images and text are inspected for printing defects, smudges, missing characters, and incorrect content to ensure consistent print quality and accurate labeling.
Code Reading and Data Verification
Barcodes, Data Matrix codes, QR codes, and variable data such as expiration dates and batch numbers are reliably read and verified to ensure traceability.
Product-to-Label Verification
Labels are automatically matched to the corresponding products and checked for accuracy, reliably preventing product mix-ups and labeling errors.
Technology for Demanding Label Inspection Applications
A high-performance machine vision system for label inspection must combine high production speeds with 100% quality control. Printed images, barcodes, Data Matrix codes, serial numbers, and variable data must be reliably inspected while meeting the highest requirements for registration and positioning accuracy.
Print inspection, OCR, code reading, and registration inspection run simultaneously within a single system. This enables multiple inspection tasks to be performed without additional hardware or separate inspection systems. The combination of traditional machine vision and AI enables reliable verification of printed content, markings, and variable data, even at high web speeds.
Thanks to the open software framework, new label designs, materials, and inspection requirements can be implemented flexibly. This allows label manufacturers and machine builders to adapt their systems to changing customer requirements without replacing the existing vision platform.
Product recommendations
Recommended Solutions for Label Inspection
The following systems are designed to meet the requirements of label inspection. They combine high web speeds, precise quality control, and flexible data processing. Depending on the application, they can be freely programmed or deployed as ready-to-use solutions.
Reliably inspect printed images, codes, serial numbers, and variable data at full web speed.
Frequently Asked Questions
How Can Labeling Errors and Product Mix-Ups Be Reliably Prevented?
Machine vision automatically compares labels, printed images, barcodes, batch numbers, and variable data against predefined specifications. Incorrect labels or faulty content are immediately detected, and affected products are rejected. This helps prevent customer complaints, product recalls, and costly consequences.
Why Is Traditional OCR Often Not Sufficient for Label Inspection?
Traditional OCR reaches its limits when print quality varies, labels are curved, or reflections occur. Smudged, distorted, or poorly printed characters may then be difficult to recognize reliably. Deep learning-based text recognition handles such content much more robustly, improving process reliability.
Why is traditional OCR often insufficient for reading expiration dates and codes?
Traditional OCR reaches its limits when printing quality varies due to glossy films, curved surfaces, or fluctuating inkjet print quality. Distorted or blurred characters may then be read unreliably, potentially resulting in incorrectly labeled batches. Deep-learning-based text recognition can reliably read such characters through learned pattern recognition. Learn more in our guide to label quality assurance.
How Does the System Handle Frequent Changes in Layouts, Languages, and Products?
Modern vision systems manage different label variants through software and can integrate new layouts without hardware modifications. AI-based methods tolerate natural variations in printing and design while reliably detecting critical deviations. This keeps labeling lines flexible, even with a high number of product variants.
