Traceability Weekly™ | Automation Moves Into the Gaps Between Machines | 2 October 2026

Last week’s PPMA Show made the convergence across product identification, machine vision and packaging automation particularly easy to see. This week, several new launches have provided the other half of that story.

The next stage is not simply putting more automation onto the production line. It is removing the manual interventions, disconnected processes and information gaps between individual pieces of automation.

That is visible in Domino’s new CIJ platform, in Systech combining serialisation and aggregation functions into compact pharmaceutical packaging stations, in Lantech connecting stretch wrapping directly to autonomous material movement and in Leica Microsystems and Cognex trying to make inspection decisions reproducible across operators and production environments.

At the same time, something we have followed in Regulatory & Standards Watch for months finally became operational. On 1 October, the UK’s Vaping Products Duty and Duty Stamps Scheme went live. Product-level identification, scanning and aggregation are no longer a future compliance project for affected manufacturers; they are now part of a functioning regulated supply chain.

The common thread is increasingly clear. Mark → Label → Verify → Inspect → Package still describes the physical process, but competitive advantage is moving into the connections between those stages.

Domino puts predictive maintenance into CIJ

One of the strongest launches this week came from Domino Printing Sciences, which introduced the Ax560i, the latest addition to its x-generation continuous inkjet range.

Domino’s Ax560i announcement⁠

On paper, several of the improvements address familiar CIJ problems: printhead cleaning, reliable restart after shutdown, solvent exposure, maintenance and keeping print quality consistent when operators change.

The more interesting part is the way Domino has approached those problems.

The Ax560i monitors component condition so maintenance requirements can be identified before they become production stops. CleanAssist automates printhead cleaning, while guided operator functions are intended to reduce dependence on individual experience. Remote diagnostics and cloud-based operating data push the same idea further: deal with potential coding problems before they become downtime.

Connectivity is equally important. The platform supports Ethernet/IP and OPC-UA and uses Domino’s Dynamark protocol to align communication across its wider coding portfolio. Domino also positions the printer alongside its automated coding and vision-inspection systems rather than as an isolated box on the line.

That is a subtle but important evolution in CIJ.

Historically, the overriding requirement was straightforward: print the correct code reliably and keep running. That remains essential, but manufacturers increasingly expect the coding system to report its condition, receive information from other production systems and participate in error prevention rather than simply execute a print command.

Linx’s 9000 Series, which we looked at last week, pointed in a similar direction with native REST API connectivity and GS1 2D capability. Domino’s Ax560i approaches the connected-line problem differently, but the broader market signal is the same: CIJ is becoming part of the factory’s information architecture.

Systech brings serialisation, aggregation and labelling into the same station

If Domino is reducing intervention around coding, Systech is doing something similar further downstream.

On 30 September, Systech announced two new integrated pharmaceutical packaging systems: the ST15S Semi-Automated Serialization and Aggregation Station and the ST16P Multi-Aggregation and Automated Label Print & Apply Station. Both operate with Systech’s UniSeries software and are available now.

This is a particularly relevant launch for Traceability Weekly™ because it brings several functions we often discuss separately into one physical workflow.

The ST15S combines serialisation, aggregation and rework. The ST16P extends the concept into multi-level aggregation and automated print & apply. Rather than moving product between separate pieces of equipment and relying on additional handling between processes, the aim is to keep identification and parent-child relationships intact while automating more of the packaging operation.

That matters enormously in pharmaceutical serialisation.

Printing a serial number is only the beginning. The system has to verify it, associate individual packs with cases and potentially cases with pallets, preserve those relationships in the software layer and deal cleanly with rejects and rework. Every additional manual hand-off creates another opportunity for the physical product and the digital record to disagree.

Systech’s launch therefore illustrates a wider shift in serialisation. Aggregation is increasingly being treated as an automation problem as much as a compliance problem.

The company also says the stations can be integrated alongside third-party equipment rather than requiring a complete packaging-line replacement. That matters for the large installed base of pharmaceutical lines where manufacturers need to increase automation without starting again from scratch.

At EoL, the wrapper and the mobile robot become one process

The same principle appeared at the opposite end of the production line.

Lantech announced the global launch of its SL400AMR on 30 September, extending the robot-ready stretch-wrapping platform beyond its earlier North and South American availability.

The important part is not simply the stretch wrapper.

The SL400AMR has been designed around a predictable interface with autonomous mobile robots. A load can be delivered, wrapped and collected as part of the automated material-handling workflow rather than requiring an operator to bridge the gap between pallet wrapping and internal logistics.

Lantech SL400AMR global launch⁠

That may sound like a small distinction, but it gets to one of the persistent problems in factory automation. Manufacturers can automate individual processes extremely well and still retain people whose principal job is moving material between those automated islands.

Removing those hand-offs is where EoL automation starts merging with intralogistics.

It also raises the importance of identification. As pallets begin moving autonomously between wrapping, storage and dispatch, the system has to know which load it is handling, where that load should go and what production or order data belongs to it.

The mechanical and digital flows increasingly have to move together.

AI vision moves from finding defects to standardising decisions

The fourth development this week sits slightly outside conventional packaging-line machine vision, but it is worth including because of what it says about the direction of industrial inspection.

On 29 September, Leica Microsystems and Cognex launched Aivaro AI Feature Detection, an AI inspection module integrated into Leica’s Enersight software.

Aivaro automatically detects, classifies and measures defects and other features during inspection. Leica says a ready-to-train base model can be configured with only five to ten images, reducing the work normally required to create an AI inspection model.

Leica Microsystems’ Aivaro announcement⁠

The more interesting objective is standardisation.

Manual inspection introduces judgement. Different operators can interpret the same defect differently; different sites can develop slightly different quality standards; and transferring an inspection process from an experienced operator to somebody new is difficult.

Leica and Cognex are trying to turn more of that judgement into a reproducible inspection process that can be deployed across users, workstations and production environments.

There is continuity here with the P&G/Siemens story we covered recently, where AI inspection was being scaled across global manufacturing. The applications are different, but the commercial problem is similar: how do you make inspection knowledge repeatable rather than dependent on one person or one bespoke installation?

That is where AI in industrial vision becomes more interesting than the headline technology itself.

Regulatory & Standards Watch: UK vaping traceability is now live

For several editions, the UK’s new vaping regime has sat in this section as an approaching deadline.

It has now happened.

From 1 October 2026, Vaping Products Duty applies to vaping liquids manufactured in or imported into the UK, and affected products entering the market are subject to the new duty-stamp regime. HMRC confirmed the go-live this week and says that, once fully rolled out, the system will provide digital traceability through the supply chain.

There is an important transition detail. Transitional physical stamps can still be used during the permitted period, while digitally enabled stamps become mandatory for newly manufactured or imported products from 1 January 2027. Existing eligible unstamped stock can continue through the wholesale and retail grace period until 31 March 2027.

The digital architecture is what makes this particularly relevant to the product-identification industry.

When a digital stamp is affixed, information including the product brand, flavour, volume, nicotine content, manufacturer, location, operator and timestamp has to be associated with it. HMRC also supports aggregation, allowing individual stamped products to be associated with a higher-level code so grouped goods can move through the supply chain without every unit being scanned independently.

This is no longer a theoretical example of regulation creating a traceability requirement. It is a live UK implementation connecting:

secure label → unique identity → product data → scanning → aggregation → supply-chain event

For coding, labelling, vision, serialisation and systems-integration businesses, that architecture should look very familiar.

The next important milestone is 1 January 2027, when only digitally enabled stamps can be newly affixed. That is when the digital traceability element becomes unavoidable for new production.

The week in perspective

The interesting thing about Domino, Systech, Lantech and Leica/Cognex is that none of them is solving exactly the same problem.

One is coding bottles and packs. One is serialising pharmaceuticals. One is wrapping pallets. One is inspecting components.

Yet all four launches are trying to reduce dependence on the human or disconnected process sitting between one automated operation and the next.

Domino wants the printer to predict problems and communicate with the wider line. Systech wants serialisation, aggregation and labelling to operate as one controlled workflow. Lantech wants the pallet wrapper to become part of autonomous material movement. Leica and Cognex want inspection knowledge to become reproducible rather than operator-dependent.

And the UK’s vaping regime shows why this matters beyond productivity. Regulation can require the physical product and its digital identity to remain connected as goods move through production and the supply chain.

That changes the meaning of the familiar RoboEdge sequence.

Mark → Label → Verify → Inspect → Package

is no longer simply a collection of adjacent technologies.

Increasingly, it is becoming one connected production discipline.

For manufacturers, that means integration deserves attention earlier in equipment selection. For OEMs and integrators, some of the biggest opportunities increasingly sit between their traditional product categories. And for talent, deep technical expertise remains essential, but the people able to connect controls, identification, vision, software and automation are becoming particularly difficult to replace.

That is where much of the value in this market is moving.

Traceability Weekly™ is produced by RoboEdge Talent, covering the companies, technologies, regulation, standards and specialist talent shaping global Product Identification, Traceability & End-of-Line Automation.