Automated Tyre Identification for Manufacturing

A tyre identification system helps manufacturers identify tyres and verify whether the correct model, size or variant is being processed on a production line. Using industrial cameras and machine vision, the system examines selected visual characteristics and compares them with predefined product specifications.

During tyre manufacturing, different products may share similar features while requiring different production settings or assembly processes. An incorrect tyre entering the next production stage can lead to product mix-ups, rework and quality-control issues. Automated identification helps check product identity at defined inspection points.

Orchid Technology provides machine vision solutions for industrial inspection and verification applications. Depending on the tyre design and production requirements, a vision-based system can be configured to identify selected product features and generate an identification or verification result.

How Does Tyre Identification Work?

An automated tyre identification process begins when a tyre reaches a designated inspection station. An industrial camera captures images of the relevant tyre features under suitable lighting conditions. These features may include tread patterns, sidewall markings, size information or other visible characteristics selected for identification.

The captured images are processed using configured machine vision algorithms. The system analyses the available features and compares them with reference images or predefined product criteria. Where identification relies on printed or moulded characters, OCR or OCV technology may be used to read or verify the relevant information.

After processing, the system determines whether the inspected tyre matches the expected model, size or variant. Depending on the application, the result can be displayed to an operator or communicated to compatible production equipment. The inspection sequence and decision rules are configured according to the manufacturer’s requirements.

Why Automate Tyre Traceability?

Manual tyre identification can become difficult when several models, sizes or variants move through the same manufacturing facility. Repeated visual checks may also depend on operator attention and the availability of clear product information.

Automated identification provides a repeatable way to check selected tyre characteristics against defined requirements.

Consistent identification: Apply configured criteria to tyres presented at the inspection station.
Reduced product mix-ups: Help identify tyres that do not match the expected model or variant.
Faster verification: Perform identification checks within the production workflow.
Improved inspection consistency: Reduce dependence on repetitive manual visual comparisons.
Production control support: Make identification results available to connected equipment where required.
Variant verification: Check selected differences between tyres manufactured on the same line.

What Does a Tyre Identification System Check?

A tyre identification application can combine different visual inspection methods depending on the product characteristics and information required by the manufacturer. The inspection criteria should be selected according to the tyre design, available reference data and production process.

Tyre Size Identification

Tyre size must correspond to the intended product specification. Where size information is printed or moulded on the sidewall, a vision system can capture the relevant area and use OCR or other configured image-processing methods to read the available information.

The recognised size can then be compared with the expected value when the required reference data is available. This helps identify mismatches between the inspected tyre and the production requirement.

Typical checks include:

Reading supported tyre size markings
Verifying recognised size information
Comparing size against predefined product data
Identifying size mismatches
Generating an identification result

For sidewall marking applications, see our Tyre Sidewall Inspection page.

Tyre Visual Feature Identification

Some identification applications rely on visible product characteristics rather than text or codes. These may include selected tread features, sidewall details or other distinguishable elements of the tyre.

Machine vision can capture and compare the relevant features where the imaging conditions and product design support reliable differentiation. The system is configured to focus on the characteristics needed to distinguish the specified products.

This approach may be useful when manufacturers need to identify tyres through visual comparison rather than relying exclusively on manually entered information.

Tyre Model Identification

Tyre models may have different tread designs, sidewall details or other product-specific characteristics. When these features are suitable for visual recognition, machine vision can compare the inspected tyre with predefined model references.

The system evaluates the selected characteristics to determine which model matches the inspection criteria. This can help manufacturers verify that the expected tyre is present before it proceeds to another production or assembly stage.

Model identification may include:

Recognition of predefined tyre models
Comparison of selected visual features
Reference-image matching
Model mismatch detection
Model verification against production requirements

For applications involving tread pattern checks, explore Orchid Technology’s Tread Inspection System.

Tyre Variant Differentiation

A tyre manufacturer may produce several variants that differ in size, model, tread pattern or sidewall information. When these products share similar appearances, verifying the correct variant becomes important for controlling production flow.

A machine vision system can examine selected features and compare them with the reference criteria assigned to each variant. Where production-order or recipe information is available, the identified tyre can also be checked against the expected product.

Variant differentiation may support:

Comparison between predefined tyre variants
Identification of selected tread or sidewall differences
Verification of product-specific markings
Detection of incorrect variants
Comparison with available production references

The identification method depends on whether the variants have sufficiently distinguishable visual features or readable product information.

Correct or Incorrect Tyre Verification

Tyre identification can be used to verify whether the product presented at an inspection station matches the expected production specification. This is particularly relevant where multiple tyre models or sizes are handled within the same facility.

The system compares the identified model, size or variant with the required reference. If the result meets the configured criteria, it can generate an OK status. If the required information does not match, the system can generate an NG status or request further checking.

Typical verification functions include:

Expected tyre model confirmation
Size and variant comparison
Product mismatch detection
Reference-data verification
Configured OK/NG result generation

Any rejection, diversion or machine-stop response depends on the control-system integration and the production rules defined for the application.

Need Automated Tyre Identification?

Orchid Technology can help assess machine vision requirements for tyre model recognition, size verification and variant differentiation.

Share your tyre samples, production specifications and inspection conditions to determine which identification method is appropriate for your application.

How Does Machine Vision Enable Tyre Identification?

A typical tyre identification workflow can include the following stages, depending on the inspection method and production-line requirements.

1.

Image Acquisition

Industrial cameras capture the relevant tyre area at a defined inspection point. The camera position and lighting are selected to make the required visual features or markings visible.

2.

Feature Detection

The vision software locates the selected tread, sidewall or other product features needed for identification. The inspection area is configured according to the tyre design.

3.

Image Processing

The captured image is processed to extract relevant visual information. Depending on the application, this may involve pattern comparison, image matching or character recognition.

4.

Model Identification

The extracted features are compared with predefined model references or configured identification criteria to determine the likely tyre model.

5.

Size and Variant Verification

Where required, the system checks recognised size markings or other identifying characteristics against the expected product specification.

6.

Reference Comparison

The identification result is compared with available production data or predefined reference information to establish whether the inspected tyre matches the expected product.

7.

OK/NG Decision

The system generates an identification or verification result based on the configured rules. A mismatch or unreadable feature can be handled according to the defined inspection logic.

8.

Production-System Communication

Where compatible interfaces are available, the result can be communicated to a PLC or other production equipment to support operator alerts, product routing or subsequent manufacturing decisions.

Key Capabilities of an Automated Tyre Identification System

A tyre identification solution can be configured around the identification features, verification rules and production information required by the manufacturer.

Capability	Application
Tyre model identification	Compare selected visual features with predefined model references.
Tyre size identification	Read supported size markings and verify the recognised information.
Variant differentiation	Distinguish between defined tyre variants using suitable visual features.
Tread feature comparison	Compare selected tread characteristics where the application supports it.
Sidewall information reading	Use OCR or other configured methods to read supported markings.
Product verification	Compare the identified tyre with the expected production specification.
Mismatch detection	Flag identification results that do not meet the configured criteria.
OK/NG output	Generate an inspection status based on the defined decision rules.
Production integration	Communicate results to compatible automation or control systems.

The actual capabilities available will depend on the selected inspection technology and the requirements of the application.

Applications of Tyre Identification Systems

Machine vision-based tyre identification can be used at suitable checkpoints across tyre manufacturing and handling operations. The application depends on when the tyre must be identified and which product characteristics are available for inspection.

Typical applications include:

Tyre model identification: Confirm the model using predefined visual characteristics.

Tyre size verification: Read and compare supported sidewall size information.

Variant identification: Differentiate between selected product variants.

Production-order verification: Compare the identified tyre with available production requirements.

Tread-based identification: Use suitable tread features to distinguish between defined products.

Sidewall-based identification: Examine selected sidewall markings or visual details.

Incorrect tyre detection: Identify a mismatch between the inspected and expected product.

Automated inspection checkpoints: Verify tyre identity before a configured downstream process.

Identification with traceability: Associate identification results with relevant records when the required data system is available.

Tyre identification can also be combined with Tyre Traceability when manufacturers need to capture identification data and associate it with production records.

Benefits of Automated Tyre Identification

Automated Model Recognition

Identify defined tyre models using selected visual features and configured reference criteria.

Tyre Size Verification

Check supported tyre size information against the required product specification.

Variant Differentiation

Distinguish between predefined tyre variants to help reduce product mix-ups.

Reduced Manual Identification

Automate repetitive visual comparison and supported information-reading tasks.

Consistent Verification

Apply the same configured identification rules to applicable tyres at the inspection station.

Faster Production Checks

Perform identification within the manufacturing workflow without relying entirely on manual checking.

Mismatch Detection

Flag tyres that do not match the expected model, size or variant according to the inspection settings.

Production-System Integration

Communicate identification results to compatible controls or production systems where required.

Quality-Control Support

Provide an additional verification step to help manufacturers identify product mismatches before subsequent processing.

Actual performance depends on the identification method, product variation, imaging conditions and system configuration.

Tyre Identification Solutions with Orchid Technology

Orchid Technology supports industrial businesses with machine vision and automation solutions for manufacturing applications. For tyre production, a vision-based identification system can be evaluated for model recognition, size verification, variant differentiation and selected product-matching tasks.

Depending on the application requirements, the project assessment may include:

Reviewing tyre samples and product specifications
Identifying suitable visual features for recognition
Evaluating camera, lens and lighting requirements
Selecting an appropriate image-processing method
Defining product references and verification rules
Assessing communication with existing production equipment
Reviewing inspection needs across different tyre variants

The final configuration depends on the characteristics that must be identified, production speed, available reference data and the required response when a mismatch occurs. Testing representative tyre samples under relevant operating conditions helps establish whether the proposed inspection method is suitable.

Explore our Machine Vision Systems to learn more about Orchid Technology’s industrial inspection and automation applications.

Frequently asked questions

What is a tyre identification system?

A tyre identification system uses machine vision or other configured identification methods to recognise tyres and verify their model, size or variant against defined product requirements.

How does automated tyre identification work?

An industrial camera captures relevant tyre features, and image-processing software analyses them against predefined references. The system then generates an identification result based on the configured criteria.

Can machine vision identify different tyre models?

Yes, when the models have suitable distinguishable visual characteristics or readable identifying information. The identification method depends on the tyre design and application requirements.

Can a system identify tyre size?

A vision system can read supported size markings using suitable image-processing or OCR methods and compare the recognised information with expected product data where available.

Can tyre identification differentiate between variants?

Yes. A system can be configured to compare selected tread features, sidewall markings or other visible characteristics to distinguish between defined variants.

Can it detect an incorrect tyre on a production line?

It can flag a mismatch when the identified product does not meet the configured reference criteria. Any automatic rejection or routing action depends on the system integration and production logic.

Can tyre identification use tread patterns?

Selected tread characteristics may be used for identification when the patterns provide sufficient visual differences and can be captured under suitable imaging conditions.

Can tyre identification be combined with traceability?

Yes. Identification can be combined with barcode, QR code or OCR-based data capture and connected record systems when the application requires both product verification and production tracking.

Can the system be integrated with a PLC?

Integration may be possible with compatible PLCs and production equipment. The interfaces, inspection result handling and required machine response must be defined during application planning.

What should manufacturers consider before selecting a tyre identification system?

Manufacturers should evaluate tyre models and variants, available visual features, marking conditions, production speed, reference data, imaging requirements and the desired response to incorrect or uncertain identification results.