WITH THE EU Machinery Regulation coming into force in January 2027, machine builders face an imminent deadline  to review their compliance procedures, cybersecurity measures and engineering practices. Matthew Hallas, business development manager, OEM Drives at ABB opened the agenda by setting the scene in terms of the wider challenges currently faced by UK machine builders, from rising employment and energy costs to supply chain disruption and skills shortages. Against this backdrop, the speakers outlined how standardising machine architectures and reducing engineering complexity could help manufacturers meet regulatory requirements while bringing products to market more quickly.

Regulatory changes

Pekka Alasaari, senior global product manager, drive products at ABB presented on functional safety and the Machinery Regulation, highlighting the significance of the transition from the existing Machinery Directive to the new regulation. Unlike a directive, which allows some scope for national interpretation, the regulation establishes requirements that apply directly across the EU. For UK machine builders exporting to the EU, understanding the changes is therefore essential and manufacturers must ensure their machines meet the updated requirements when placing them on the market.

As Alasaari pointed out, cybersecurity is a particular focus. Under the new regulation, manufacturers must incorporate cybersecurity threats into their machine-level risk assessments, recognising that vulnerabilities can have implications for functional safety.

Another important change concerns software traceability. Alasaari explained that machines must maintain records of safety-related changes over a five-year period, with automatic logging providing digital evidence of modifications. This will help manufacturers investigate discrepancies between the machine’s actual configuration and its documented safety status.

Documentation requirements are also evolving. “In the machine directive era, it was mandatory to have paper documentation, now a QR code next to the machine is sufficient,” said Alasaari. However, he also emphasised that the responsibility for ensuring the complete machine complies remains with the OEM, rather than the individual component suppliers. “As a component provider, we do as much as we can to help the machine builder to comply with the standards, but still, at the end, it's the OEM that is responsible for ensuring the whole machine complies with the regulation."

Reducing engineering complexity

Beyond regulatory compliance, the webinar explored how machine builders can address the commercial pressures affecting their businesses. Hallas highlighted the importance of reducing time to market, particularly for UK manufacturers producing bespoke machinery that requires repeated engineering work. He noted that a significant proportion of machine costs sits outside the physical components themselves, with engineering, software development and assembly labour all contributing to the total.

“Half the cost of a machine is not in the cost of components,” he said, pointing to the potential savings available through better design decisions and more efficient engineering processes.

Umit Kahraman, global segment manager for machinery products at ABB, explained that combining drives, motors, PLCs and control functions within a common engineering environment could help reduce the complexity associated with configuring and commissioning machines.

Traditionally, machine builders may combine products from multiple suppliers, requiring engineers to work across different software packages and manage additional integration and verification tasks. Kahraman suggested that shifting towards configuration and reuse, rather than designing every machine from scratch, could help address these challenges.

ABB’s Automation Builder platform provides a common environment for configuring and programming drives alongside PLCs. According to Kahraman, this approach can simplify engineering workflows, accelerate commissioning and make better use of scarce technical expertise.

“Engineers can configure, programme, and manage drives directly within the PLC tool, so they don't need to learn multiple software packages or manage different database versions,” he said.

Standardisation also offers the opportunity to develop repeatable machine architectures and reusable software, helping manufacturers reduce engineering hours without compromising the functionality required by individual applications.

Efficiency, connectivity and cybersecurity

The webinar also examined the role of motor and drive selection in improving machine performance and energy efficiency. Richard Gee, UK sales manager for low voltage motors, outlined ABB’s comprehensive motor portfolio, including synchronous reluctance and liquid-cooled designs intended to deliver higher power density and more compact machine configurations. The range also includes solutions for applications requiring specific safety certifications or operation in hazardous environments.

Gee emphasised the importance of matching motor technology to the application, allowing machine builders to balance efficiency, available space and performance requirements.

“Whatever your application, I would say ABB has a package solution that we can offer, discuss, and adapt to your needs,” he said.

Lifecycle management was another consideration. Hallas highlighted ABB’s Go Select configuration tool and digital documentation resources as ways to support component selection and provide access to product information and certification.

Connectivity is also becoming increasingly important as end users seek better access to machine performance and condition data. Hallas discussed OPC UA as a means of connecting drive-level information with factory-level control systems, supporting more proactive maintenance and helping reduce unplanned downtime.

With cybersecurity remaining a growing priority as the regulatory landscape develops, Pekka Alasaari returned to the spotlight to discuss security features available in ABB drives, including user account management, firmware protection and parameter locking. He also highlighted the forthcoming Cyber Resilience Act as a further development that machine builders will need to consider.

Watch on-demand

This review provides just a taste of what was covered in the webinar, which also included an informative and wide-ranging roundtable discussion, including questions submitted by the audience on the day. If you would like to find out more, you can watch the webinar on-demand for free via the following link:

The kit lets customers set up a multi-camera system and begin validation right out of the box, shortening the path from proof of concept (PoC) to deployment. Full camera source code is included, giving customers flexibility throughout development and maintenance.

As AI vision moves toward multi-camera perception in robotics and intelligent vehicles, integrating cameras, capture cards, drivers, and host platforms has become increasingly complex, often taking six months or more before validation. The starter kit’s pre-integrated hardware and software driver enable system integrators to speed up time-to-market.

GMSL2 is a high-speed video transmission technology that originated in automotive applications and offers long-distance connectivity. Unlike plug-and-play USB cameras, it requires a dedicated capture card and platform-specific drivers. The starter kit includes four 3MP fixed-focus GMSL2 camera modules, a capture card, four FAKRA cables, a power adapter, power cords, and a quick start guide. It also provides camera source code for the widely adopted NVIDIA Jetson Orin Nano Super Developer Kit, so users can bypass component sourcing, system-level integration, driver debugging, and tuning.

“The biggest challenge in a multi-camera AI vision project is often not the AI application itself, but the camera integration and system tuning that come before it,” said CK Hsu, senior manager of the camera product business department at Innodisk. “With the GMSL2 Camera Starter Kit, Innodisk takes on the complexity of early-stage integration so customers can focus on development and move into PoC sooner.”

With the camera source code in hand, engineering teams can independently adapt the software driver to their own requirements and use the kit as a working foundation for further development. Innodisk also provides comprehensive customisation services from hardware fine-tuning to application deployment, helping customers move smoothly into design-in and mass production.

The kit supports edge AI scenarios including blind spot detection and advanced driver assistance systems (ADAS) for heavy-duty vehicles, object recognition and environmental perception for humanoid robots and AMRs. Innodisk plans to expand its GMSL2 portfolio and introduce more starter kits covering different camera models and supported platforms.

www.innodisk.com

Initially, around 100 humanoid and service robots will learn specific skills and processes in 48 training cells. The large volumes of training data will help make robots safer and more reliable.

In addition to its robot training cells, the center at the LabCampus innovation hub at Munich Airport provides substantial computing power for AI model training and computer simulations. These resources generate large amounts of data to support the development of more intelligent robots. The current focus is on industrial applications and intralogistics.

Unlike generative AI systems such as ChatGPT, which can draw on vast amounts of data from the internet, embodied AI requires training data from real-world physical interactions. Such data is currently scarce. The new training center features robot training cells where robots learn tasks including folding boxes, assembling components and using tools. At the TUM RoboGym, robotic skills can be developed and tested in realistic environments. At the opening, NEURA Robotics also unveils the next generation of its 4NE1 humanoid robot, which will subsequently be available at the TUM RoboGym.

Data generated at the TUM RoboGym flows into a curated cloud data lake, where it is available for training physical AI models. As a central scientific resource, the data lake enables scalable research into generalizable robotic skills, safe human-robot interaction and AI models for robotics.

The project’s core objective is to transfer scientific results into practical applications. “Close, continuous and flexible collaboration with the robotics industry is essential for research in physical AI. It is the only way to systematically and rapidly develop research prototypes into market-ready products,” says Prof. Achim Lilienthal of TUM MIRMI, scientific coordinator of the TUM RoboGym. 

www.tum.de

Agility recently unveiled Digit 5 as its first humanoid robot designed for cooperatively safe work at scale, allowing it to work in close proximity to people. As part of its upgrades, Digit 5 will feature a new battery system that delivers 90-minutes of runtime and charges in just 9 minutes, achieving a 10:1 run-to-charge ratio, up from Digit 4’s 2:1 ratio. This rapid charge capability is designed to keep Digit working, enabling more than two shifts in a single day and helping customers get more from each robot.

“For our customers, Digit’s uptime is the business case,” said Daniel Diez, chief business officer of Agility Robotics. “Digit 5 will deliver more than 20 hours of productive work in a 24-hour day, more than two full shifts. That’s the kind of gain that materially improves the value customers get from Digit and the economics of deploying a humanoid robot fleet. Nyobolt’s ultra-fast charging technology gets us there, and it’s one of the pieces that makes Digit 5 ready for full-scale operation.”

Nyobolt’s unique high-power battery technology is built for demanding industrial conditions, combining fast charging, exceptional cycle life, and reduced system weight. By removing the power bottleneck that has historically constrained autonomous robot fleet economics, the system addresses a key constraint on robot utilisation, that of downtime. The result is a compelling potential advantage for Digit 5 customers, who can target longer operating windows, more productive shifts and more demanding task sequences. Combined with Agility’s experience deploying humanoid robots in real commercial environments, this battery performance is designed to strengthen Digit’s value proposition for warehouse, distribution and manufacturing operations.

“Nyobolt’s technology was chosen because Digit 5 will need more power from a smaller, lighter pack, in environments where reliability isn’t optional,” said Sai Shivareddy, co-founder and CEO at Nyobolt. “Agility set an exceptionally high bar for what a battery has to withstand in live warehouse and manufacturing environments, and this partnership shows what’s possible when ultra-fast charging is engineered for the toughest conditions in physical AI.”

Early access to Digit 5 equipped with Nyobolt’s battery technology is expected to begin in the first half of 2027, with increasing availability over the following six to nine months for manufacturing, warehouse and distribution operators.

nyobolt.com

Available from 75 to 630kW, the VP3000-E combines energy-efficient motor control, integrated application functions and flexible harmonic mitigation capabilities in a compact platform. Developed as the successor to Delta’s CP2000 Series for the European market, the new series is designed for pumps, fans, HVAC, water supply, wastewater treatment and data center cooling infrastructure.

Sander van Dasselaar, head of industrial automation business platform at Delta Electronics EMEA, said: “The VP3000-E represents an important step in the continued evolution of Delta’s Industrial Automation portfolio. Customers are under increasing pressure to improve energy efficiency, optimise operational performance and reduce total cost of ownership. With the VP3000-E, we provide a flexible drive platform that combines energy-efficient operation with simplified integration. It supports our strategy to strengthen Delta’s position in key growth markets such as water infrastructure, HVAC, data centers and industrial utilities, including the critical cooling and utility infrastructure that modern data centres depend on.”

The VP3000-E supports induction motors (IM), permanent magnet (PM) motors and synchronous reluctance motors (SynRM). Dedicated functions include Automatic Energy Saving (AES) mode, Fan Traction Energy Control (TEC) and multi-pump control to optimise variable-torque applications. These include HVAC and water systems as well as data center cooling infrastructure such as chilled water pumps, condenser pumps, cooling towers, air handling units and compressors.

Designed for European requirements, the VP3000-E features a slim, lightweight design, while larger Frame L and M models use a chassis concept for simplified installation and maintenance. A C3 EMC filter is integrated as standard across the range, alongside an integrated PLC, STO SIL3 and enhanced PCB protection. DC-bus connectivity enables integration with Active Front End (AFE) solutions and common DC-bus architectures. When combined with Delta’s APF3000 Active Power Filter, the solution can support compliance with IEEE 519 harmonic distortion requirements below 5%.

Built-in component monitoring and diagnostics provide information on key components including rectifiers, IGBTs, capacitors and cooling fans. An optional LCD graphic keypad with Bluetooth and USB supports parameter management, warning and fault logs, waveform monitoring and reporting, helping simplify commissioning, diagnostics and maintenance.

The initial EMEA range covers 75 to 630kW, with additional models from 11 to 55kW planned for 2027. The series also includes the VP3000-EHS high-speed model, available from 55 kW to 450 kW for turbo blower and maglev motor applications with output frequencies of over 599Hz.

www.deltaww.com

CAD TO CAM digital continuity seamlessly flows design data from CAD into CAM without file exports, manual rework or lost engineering intent, enabling teams to work from the same product information across design and manufacturing. This eliminates workflow friction like missing updates and NC programming delays while delivering up to 80% faster programming, 90% reduction in design change impact, 30-40% better machining efficiency and 30% higher part quality for a more scalable manufacturing operation.

Modern manufacturers need faster throughput, fewer errors and smoother handling of engineering changes. A connected CAD to CAM workflow built on digital continuity helps close the gap between design and manufacturing by keeping product data, intent and revisions aligned from CAD through CAM programming and NC output.

So, what Is CAD to CAM digital continuity in modern manufacturing?

CAD to CAM digital continuity enables the seamless transfer of design data from computer-aided design (CAD) to computer-aided manufacturing (CAM), without unnecessary file translation, manual rework or loss of engineering intent. In a connected environment, engineering and manufacturing teams work from the same product information, improving consistency and reducing translation errors.

This approach is particularly valuable for companies managing complex parts and multi-axis machining, frequent design changes and revision updates, multi-CAD environments, or high-volume and high-mix production. Rather than treating CAD and CAM as separate stages, digital continuity connects them in a streamlined workflow.

In traditional workflows, CAD data is often exported, imported and reinterpreted by CAM programmers, with each handover introducing potential risks such as missing or outdated revisions, duplicated setup work, inconsistent geometry or product structures, and delays in NC programming and machine setup.

A connected CAD-to-CAM process addresses these challenges by reducing manual data transfer and file conversions while preserving design intent from engineering through to machining. It also improves revision control and traceability, shortens programming and setup times, and enables closer collaboration between design and manufacturing teams.

For manufacturers focused on operational efficiency, this kind of digital continuity can have a direct impact on productivity, quality and lead times.

Key benefits 

A digital continuity strategy delivers practical benefits across the manufacturing lifecycle:

• Faster time to production: CAM programmers work with richer product context and fewer interruptions.
• Better data reuse: Design and manufacturing data are reused more effectively across programs.
• More consistent machining programs: Standardized workflows reduce variation.
• Faster response to engineering change orders: Updated revisions propagate more smoothly.
• Reduced translation errors: Fewer file conversions mean fewer opportunities for data loss.
• Improved standardisation: Best practices can be scaled across teams and projects.

These benefits become more critical as product complexity increases and lead times shrink.

CAM programming can become a bottleneck when programmers need to reconstruct design intent from imported CAD files. A connected CAD-to-CAM workflow reduces this friction by giving teams direct access to product structure, geometry and related manufacturing context within their CAM environment.

With less time spent reconstructing information, programmers can focus on optimising toolpaths, refining setups and developing efficient machining strategies. The result is a more efficient, repeatable and scalable NC programming process.

Building a CAD-to-CAM workflow 

A smarter CAD-to-CAM workflow supports the entire process from design to production. By keeping product data connected, manufacturers can make better decisions more quickly, respond faster to late-stage design changes, reduce rework and manual corrections, maintain consistency across revisions, and scale machining operations more effectively. Ultimately, digital continuity enables manufacturing teams to work with greater confidence and fewer disruptions.

When it comes to competitive advantage CAD-to-CAM digital continuity is more than a technical improvement; it offers practical benefits that can give manufacturers a competitive advantage. By accelerating manufacturing workflows, reducing errors and rework, streamlining the management of engineering changes, and improving overall productivity, it helps businesses operate more efficiently and respond more effectively to changing production demands.

By connecting design and machining in one continuous process, manufacturers can achieve faster throughput, better quality and a more scalable operation.

If you’re evaluating CAM software, manufacturing platforms or digital continuity solutions, focus on how well your system connects CAD and CAM data end-to-end. The stronger that connection, the more your manufacturing workflow will benefit.

George Chen is senior offer marketing and BDM at DELMIA

www.3ds.com/products/delmia

WHEN I investigate a gearbox failure in continuous-duty machinery, the cause is rarely a calculation error. The torque was right. As was the ratio. The unit was sized correctly against the datasheet. But it failed. Why?

What decides service life sits outside the datasheet: how often the machine starts and stops, what the driven equipment does to the shafts, how much heat the gearbox can shed, and what service factor really means. Together, they explain why a gearbox that looked comfortable on paper becomes a vulnerability very quickly.

Duty cycle and start-stop frequency

A torque rating assumes a pattern of use. Eight hours of steady running is a very different life from 24 hours of short cycles. Every start, reversal or stall drives peak torque through the teeth and bearings, often well above running torque.

A conveyor indexing 20 times an hour continuously sees more than 170,000 starts a year. That is fatigue loading no nominal torque figure captures. I always ask for the real operating pattern: hours per day, starts per hour and the inertia the motor must accelerate.

What the driven equipment does to the shafts

Catalogue ratings usually assume a pure torque load. Belt and chain drives pull sideways on the output shaft, overhung pulleys add leverage, and helical gear or fan loads push along the shaft axis.

Bearings and seals carry these radial and axial loads, not the gears. That is why so many failed units I see have healthy teeth but worn-out bearings. Mount a pulley further out than the catalogue assumes and bearing life drops drastically. Check overhung load ratings against the actual layout, including whether the load reverses.

Thermal capacity is not mechanical capacity

Mechanical capacity tells you whether the gears and shafts survive the load. Thermal capacity tells you whether the unit can shed the heat generated in the mesh, bearings and seals during continuous operation. Exceed it and the oil thins, seals harden and wear accelerates, even though every stress calculation passes.
Ambient temperature, airflow and mounting position all move that limit, and cold matters as much as heat. Below zero, oil thickens, starting torque climbs and seals lose flexibility. A unit specified for a warm factory floor may not cope with a freezer.

Service factor is a duty correction, not a safety margin

Service factor is still widely read as headroom: choose 1.5 and you have 50% to spare. That is not its purpose. It adjusts a rating established under standard conditions to reflect the real duty: running hours, shock level and start frequency.

A machine with heavy shock loads and frequent starts may need every bit of a high service factor simply to reach normal life. Treat it as spare capacity and the duty quietly uses it up, while the design team believes in a margin that was never really there.

How they combine: a refrigerated transport example

These factors compound. Frequent starts raise peak torque and heat, cold raises starting torque further, and overhung loads press on bearings already working against stiff lubricant. Each might sit inside its limit alone; together they do not.

We’ve seen this before with an OEM of refrigerated transport equipment. Its gearboxes were correctly sized for nominal torque, yet failures appeared in service. With the OEM's design team, we looked at what the units had to do: start and run reliably below zero. We specified for that duty rather than the nominal torque figure, and gearbox failures went to zero.

The original calculation was not wrong. It answered a different question from the one the application was asking. That’s where application knowledge matters.

Questions to answer before selection:

- An OEM design team should answer these before selection, not after commissioning:

- How many hours a day will it run, and how many starts, stops and reversals per hour?

- What inertia does the motor accelerate, and what peak and shock loads follow?

- Where do radial and axial loads act on each shaft, how large are they, and do they reverse?

- What are the lowest and highest ambient temperatures, and how much airflow will the unit get?

- Does the thermal rating cover continuous running in that environment?

- Which service factor applies to this duty, and why?

If any answer is a guess, that is where the risk sits. Answering them at the design stage may cost a few hours. Answering them after commissioning costs downtime, warranty claims, redesigns, and potentially reputational damage. Which outcome would you prefer?

Thomas Parker is sales manager at Brown Geartech

browngeartech.com

Total Automated Solutions provides industrial automation, control systems, electrical engineering and systems integration services to customers across the UK. Its new robotics rental model addresses one of the main barriers to robotic adoption: the uncertainty surrounding whether a proposed solution will deliver the required improvements in productivity, quality, safety and operating costs.

Through the service, manufacturers can rent a configured robotic solution for an agreed trial period, typically between two and six months. The system can be installed at the customer’s production facility or tested at the company workshop, depending on the application and operational requirements.

Total Automated Solutions engineers assess the process, configure and programme the robot, and integrate the necessary grippers, guarding and safety systems. This allows the customer to evaluate the solution using real products, production conditions, and performance data.

Potential applications include:

• Repetitive product handling
• Pick-and-place operations
• Machine loading and unloading
• Packing and palletising
• Process support
• Tasks presenting ergonomic or safety risks
• Production bottlenecks and labour-intensive operations.

Kevin Chapman, owner and managing director at Total Automated Solutions responsible for robotics rental said: “Many manufacturers understand the potential benefits of robotics but need greater certainty before committing significant capital. A concept may appear viable on paper, but the real test is how it performs within the production environment. Our Proof-of-Concept Rental Service gives manufacturers the opportunity to test the technology, measure the results and build a robust business case. It turns automation from a theoretical proposal into a practical, evidence-based investment decision.”

The service is particularly relevant to small and medium-sized manufacturers seeking to modernise production while controlling financial and operational risk. It also allows engineering and production teams to understand how robotics could affect throughput, product quality, workforce deployment, and existing processes before progressing to a permanent installation.

At the end of the trial, the customer can use the results to decide whether to purchase the robotic system, proceed with a fully engineered production cell or reconsider the proposed application. Where the trial proves successful, Total Automated Solutions can support the transition from proof of concept to permanent implementation.

The launch strengthens Yorkshire’s growing reputation for advanced manufacturing and engineering innovation. By offering practical access to robotic technology, Total Automated Solutions aims to help regional manufacturers improve competitiveness, address skills shortages and invest in production upgrades with greater confidence.

The new service complements the company’s existing capabilities in control-panel and MCC manufacture, PLC and SCADA software, electrical installation, industrial communications, and complete systems integration.

www.tasweb.uk

The attack, which took place overnight on 11–12 October, compromised cold-chain control software at several major food retailers. French supermarket group Les Mousquetaires, which operates Intermarché stores, reported that around 150 stores were affected, with refrigeration temperatures reportedly rising to 50°C for approximately six hours after the attackers remotely reprogrammed cooling regulators to force a continuous defrost cycle. The company said affected food had been discarded as a precaution. Cooperative U also confirmed that stores in its network had been targeted.

France’s National Cybersecurity Agency (ANSSI) has been tasked with investigating the incident. According to Reuters, authorities are examining a vulnerability in software supplied by Danish manufacturer, Danfoss.

Danfoss confirmed that it was aware of incidents in France affecting a limited number of refrigeration management systems. The company said the affected units were running outdated firmware and reiterated its recommendation that customers keep supported systems updated with the latest firmware and migrate legacy systems to current-generation solutions.

The investigation is ongoing, and further details about the attack, including its precise technical cause and the full extent of its impact, have not yet been established publicly.

Industrial engineering teams increasingly inspect parts where they sit – on the production line, across multiple sites, and in service – rather than carrying them to a measurement room. Optical tracking holds a measurement steady when the part or its surroundings move, but it has typically needed cabling, careful setup, and a metrology specialist to operate. The HYPERSCAN system eliminates that setup burden with dynamic optical tracking – a technology that unifies the scanner and the part together in one coordinate system so that the scan remains stable even when the part moves or the setup vibrates.

HYPERSCAN SR is a fully wireless system, with WiFi 6 connectivity and swappable batteries built into the scanner and tracker, so no tethered wireless accessory is required and there is no cabling to route. It deploys with minimal preparation and is straightforward for non-specialist operators to run. When scanning, its dynamic tracking follows the part and the scanner together, so movement and vibration do not break the scan.

Darren Goh, product director for handheld 3D scanners at Hexagon, commented: “Dynamic tracking makes HYPERSCAN SR quick to deploy and simple enough for everyday operators to pick up and use. Because it’s a fully wireless system, with WiFi 6 and battery power native to the device, teams can bring it into limited-access and power-limited areas that a larger, cabled setup can’t reach.”

Target-free wide area scanning helps operators improve their productivity across small and medium parts such as welded machine frames, cast housings, tooling and fixtures, and vehicle interiors, with multiple scanning modes up to 4 million points per second, hole flash capture and edge detection. The scanner weighs only 1.3 kg (excluding battery) with on-device controls and intelligent voice assistant operator support. Finished point clouds can be exported to STL and common file formats, with one-click data transfer to Geomagic or PolyWorks.

HYPERSCAN SR is the new entry point to the HYPERSCAN series, joining HYPERSCAN Ultra, the versatile production workhorse, and HYPERSCAN Super, which provides additional range for the largest parts and automated inspection cells. Calibrated in an ISO 17025 accredited laboratory, HYPERSCAN SR captures measurement data that is certified to VDI/VDE 2634-3 with a volumetric accuracy that starts from 0.06 mm at 3.2m. This new scanner can also be integrated with robotic automation systems through a standardised integrator kit, and all three HYPERSCAN models share the same workflow and coordinate system.

A highly affordable entry point to professional scanning, it is suitable for on-site and in-field inspection, supplier and incoming-goods quality, field service, maintenance and overhaul, tooling and fixtures, and decentralised quality control, in sectors such as automotive, rail, energy, construction, general manufacturing, industrial equipment, and consumer products.

hexagon.com/products/hyperscan