Rubber presents a challenge for optical-based measurement sensors. By nature, the black surface is difficult to capture reliable data from and accurately measure. This challenge is often intensified by the complex shapes into which rubber derivatives are extruded or molded.

As a solution to this challenge, 3D laser sensor manufacturers have optimised the design of their sensors to successfully implement scanning and quality control functions for both in-process and final product inspection applications in rubber and tyre manufacturing.

3D laser scanning

Rubber material comes in two forms on the production line, either as fresh and uncured from an extruder or a calender, or as a finished product (e.g., vulcanised tyres). Non-contact 3D laser scanning offers the most practical solution for inspection of both of these rubber material types.

Here’s why:

1. The soft, gummy nature of the rubber makes contact-type measurement ineffective. This measurement approach is also too slow to keep up with the high-speeds of continuous web material production.

2. 2D sensors require complex lighting to see black-on-black contrast. In some applications the lighting is placed underneath the material (e.g., when measuring the width of a strip), and hot sticking rubber can contaminate the lights. In addition, 2D can’t produce measurements related to object geometry (i.e., 3D shape), which means they are unable to measure critical features such as object flatness, surface angles, or part volumes, and are limited to contrast-based inspection. This makes 2D sensors a poor solution for scanning complex shape-based features on dark surfaces, or for operation in low lighting conditions.

          3. In comparison, 3D laser sensors are contrast invariants and generate high-resolution scans regardless of the material or lighting conditions. They also capture the complete 3D geometry of the scan target, including critical depth measurements on surface features such as grooves in a tyre tread. 3D laser sensors are also able to achieve the high speeds required for continuous web material scanning.

Laser profile sensors provide an ideal solution to both in-process and final rubber and tyre measurement and quality control applications. Built-in measurement tools for strip positions, including multiple groove location and depth measurement monitoring with automated alignment enable engineers to configure setup parameters––without requiring any measurement software development.

In addition, the ability to store multiple geometry configurations in the sensor makes changes between different recipes quick and simple, which is critical in minimising downtime for operations that make model changes multiple times per shift.

Application examples

1. In-Process Inspection

Extrusion Profiling with High-Resolution Gocator® 2440 Laser Profiler

Extruding rubber in a specific shape makes up the tread portion of a tyre. Measurement of the extrusion profile is carried out in-process, correcting the extrusion parameters in real-time to maintain the required shape. Key measurement parameters include thickness, width, and profile. Another required sensor capability is monitoring the position of surface features, such as ridges, center lines, and edges.

Profiling these tread extrusions is done by using 3D laser sensors to scan across the extrusion, generating a profile to which built-in measurement tools and pass/fail decision-making logic can be applied.

In this example, two Gocator 2440 laser line profilers are used to measure the rubber web’s extrusion groove pattern, geometry, and location with an X resolution down to 13 microns. Gocator 2440 sensors are able to inspect multiple grooves in a single setup, and groove measurements are unaffected by changes in surface angle relative to the sensor.

Most importantly, Gocator 2440 sensors generate critical 3D height data for robust shape measurement. 2D solutions are limited to contrast-based inspection.

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3. Final tyre inspection

Tyre Sidewall Inspection with High-Speed Gocator 2530 Laser Profiler

Traditional methods for measuring tyre sidewalls for defects such as bulges and dents suffer from too many false rejects (i.e., classifying a good tyre as defective). Due to measurement system limitations, many manufacturers have no choice but to “oversensitise” their sidewall bulge and dent measurement systems, resulting in costly manual inspection requirements for all rejected tyres.

In fact, some measurement systems cannot even distinguish between bulges or dents. However, with state-of-the art laser measurement precision and advanced built-in software analysis, false positive rates can be substantially reduced and, in many cases, eliminated altogether.

Using a Gocator 2530 laser profiler the engineer is able to generate full surface point cloud geometry data in order to detect small defects (down to 28 microns X resolution) anywhere on the sidewall surface. The sensor also delivers complete scan, measurement, and control at 4 kHz, allowing engineers to meet stringent cycle time requirements––with no need for industrial PCs or external controllers.

 

In this configuration, two profile sensors are typically used, one for each sidewall (top and bottom buddy system). A third sensor is often used to monitor radial runout of the tread.

Leveraging 3D Laser Scanning and Inspection

 

Laser-based laser triangulation sensors meet the high speed and high resolution requirements for accurate rubber and tyre measurement. These sensors are used in a variety of in-process and final inspection applications, including extrusion profiling and tyre sidewall inspection.

Adding 3D laser sensors for automated quality control is vital to reducing scrap and rework, and improving final product quality by maintaining consistency throughout the tyre manufacturing process.

Courtesy of LMI Technologies www.lmi3d.com

Swedish automotive software leader NIRA Dynamics AB and BANF Smart Tire System of South Korea have announced a new partnership aimed at significantly enhancing vehicle safety and predictive maintenance for commercial vehicles. The collaboration will see BANF integrate its high-frequency tyre sensors into NIRA's established software ecosystem.

This strategic alliance aims to disrupt Tyre Pressure Monitoring Systems (TPMS), providing commercial fleets and automakers with unprecedented real-time insights into tyre health and road safety. NIRA Dynamics, founded in 2001, is a global automotive software powerhouse with its technologies deployed in over 120 million vehicles worldwide, including an indirect TPMS (iTPMS) that has surpassed 110 million units sold.

Under the agreement, NIRA will incorporate BANF's triaxial tyre sensors into its Road Surface Information (RSI) and Wheel Safety Insights (WSI) platforms. These platforms already utilise existing vehicle sensor data and proprietary algorithms for functions like tyre grip estimation, tread wear analysis and loose wheel detection.

BANF's key innovation lies in its Smart Profiler system, which wirelessly powers internal tyre sensors directly from the vehicle battery, overcoming the challenge of continuous power and real-time data transmission from rotating tyres. This integration will significantly enhance NIRA's capabilities, particularly for monitoring commercial vehicle loads and dual-tyre setups, by providing sensor data at high sampling rates of 1kHz and 4kHz.

Otto Johansson, Head of Innovation at NIRA Dynamics, said, "This collaboration accelerates our vision of creating a comprehensive vehicle intelligence network. While our software solutions already process data from millions of vehicles, adding specialised hardware enables new use cases in predictive maintenance and ADAS applications."

NIRA's evolution from software-only tyre pressure monitoring to multi-layered safety systems is evident in its flagship Tyre Pressure Indicator (TPI) technology, which has eliminated the need for physical sensors in many applications, significantly reducing electronic waste. The company has also collaborated with automotive giants like Volkswagen Group on innovations such as Road Surface Alerts.

The partnership also addresses critical safety needs in commercial vehicles. NIRA's Loose Wheel Indicator (LWI), already deployed in Audi vehicles, will now be extended to heavy-duty vehicles through the BANF collaboration, aiming to mitigate the thousands of annual wheel detachment incidents reported.

For fleet operators, the integrated system promises substantial operational benefits. NIRA's Winter Road Insights product, which helps optimise road maintenance, combined with BANF's wear prediction algorithms, is expected to lead to reduced tyre replacement costs and improved fuel efficiency.

Ron Yoogun Lee, Head of Business Development, BANF, said, “Our goal is to enhance cost-effectiveness, save lives and preserve the environment by digitising tyres, which are the last analog domain in the mobility industry.”

Looking ahead, NIRA's technology roadmap includes developing ‘grip maps’ for SAE Level 2-3 autonomous vehicles and leveraging data from millions of vehicles to create AI models for predictive infrastructure maintenance, further solidifying its position at the forefront of automotive innovation.

AI-powered mobile data capture company Anyline has launched TireBuddy, a smartphone-based app designed to modernise tyre inspections in automotive service bays. The app replaces traditional, manual inspection methods with a standardised digital workflow that delivers consistent, data-backed results and clear customer reports.

TireBuddy offers technicians tools to detect tread depth issues, tyre age, alignment concerns and sidewall damage using AI-powered analysis and visual reporting – without the need for additional hardware. Reports can be instantly shared in digital or printed formats, helping to reduce manual entry errors and increase customer trust.

The launch comes ahead of National Tire Safety Week (30 June 30 – 4 July), positioning the app as a timely solution for shops preparing for the summer travel season.

Lukas Kinigadner, Co-Chief Executive Officer, Anyline, said, “TireBuddy is not only about faster inspections — it’s about more trustworthy ones. We’re helping garages and service centres replace subjective tyre checks with data-backed insights and visual reporting that both technicians and customers can rely on.”

Frederic Baroin, Global Head of Automotive Business at Anyline, said, “TireBuddy empowers technicians with real-time, reliable data that strengthens recommendations and builds customer confidence. We designed it to deliver clarity, not complexity, in every inspection.”

By enhancing inspection accuracy and transparency, Anyline said TireBuddy can also drive higher service approvals and boost shop revenue.

Indian tyre maker CEAT said it has purchased the country’s first Scania 460 G prime mover truck to strengthen its research and development operations as the company pushes to expand in overseas markets.

The Mumbai-based manufacturer described the acquisition as part of efforts to upgrade its commercial vehicle tyre testing capabilities to international standards, particularly for certification in Europe and the United States.

The Scania G460 produces 460 horsepower from its 12.7-litre engine and can handle a gross vehicle weight of 150,000 kilograms (330,693 pounds). The truck features Scania’s Super engine technology, which the Swedish manufacturer says improves fuel efficiency while cutting emissions.

CEAT officials stated that the new testing platform will help accelerate product development and reduce costs while meeting stricter global standards.

“This high-performance vehicle is not just a prime mover — it’s a strategic investment in our Commercial Vehicle Tyre Testing Infrastructure, aimed at elevating our research & development capabilities to meet global standards,” the company said in a statement.

The investment comes as Indian tyre companies grapple with volatile raw material prices while trying to capitalize on strong domestic demand from India’s growing automotive sector. Industry analysts say that manufacturers are under pressure to improve efficiency and expand internationally in order to maintain profitability.

CEAT joins other major Indian tyre makers in ramping up research capabilities as they compete for market share both domestically and abroad.

The company said the new truck will support vehicle dynamics testing and help reduce the time needed to bring new commercial tyre products to market.

SDVerse, a leading B2B marketplace for vehicle software, has announced that global tyre major Goodyear will now promote its SightLine suite of tyre intelligence software offerings on the SDVerse platform.

This collaboration marks a significant move for Goodyear into the burgeoning software-defined vehicle (SDV) space, offering tyre-centric software solutions designed to boost vehicle performance, safety and efficiency.

Goodyear's intelligent mobility solutions, including real-time tyre health diagnostics, road surface sensing and predictive maintenance insights, are engineered to allow OEMs and Tier-1 suppliers to integrate tyre intelligence directly into a vehicle's core systems.

SDVerse will be the inaugural online marketplace to feature Goodyear's expansion from traditional hardware into the digital realm of mobility. This strategic shift by Goodyear reflects the industry's increasing focus on data-driven, connected platforms where every vehicle component contributes to a safer and more efficient driving experience.

Werner Happenhofer, Vice-President of Global Tire Intelligence & Solutions at Goodyear, said, "Our tyre intelligence technologies are at the core of our commitment to innovation. Integrating these technologies into a vehicle's control systems represents a significant step forward in enhancing vehicle safety, performance and efficiency. Partnering with SDVerse gives us the opportunity to collaborate with other members and OEMs as we meet the evolving demands of the industry."

For SDVerse, Goodyear's entry further solidifies its mission to revolutionise automotive software sourcing by connecting buyers and sellers, accelerating innovation and enabling software-defined mobility at scale.

Prashant Gulati, CEO, SDVerse, said, "We’re thrilled to welcome Goodyear to SDVerse. Goodyear’s move into software is not only bold but incredibly timely. Their presence on our platform underscores the breadth of what software-defined vehicles can become – where even tyres evolve into intelligent systems contributing real-time data and decision-making capabilities across the vehicle ecosystem."