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Rogue Can Detector: Stop the One Wrong Can Before It Ships
Verifies the identity of every can on your filling line at full production speed, even when cans look almost identical. Catches drinks filled in the wrong can.
MarshallAI catches foreign SKUs and mixed labels from the very first can of a new batch, with no re-programming and no learning period.
Can be combined with our Best Before Date inspection and our Label inspection solution for label presence and condition inspection.
Our Rogue Can Detector also detects fallen and damaged cans.
See all solutions for beverage industry
Minimize recalls and complaints
Ensure compliance in every market
Avoid Hold-For-Inspect(HFI)
Meet us at BrauBeviale 2026 on the 10-12th of November | Hall 10 stand 10-139. Book a live demo.
Full production speed: inspection rate of over 2500 cans per minute. Performance can be scaled with processing hardware.
Zero Changeover Downtime: Recognizes each SKU automatically as it starts running. No operator “train” step, no teaching the system between batches. Perfect for even small batches.
No ramp-up period: Flags a mismatched can the moment it appears. No ramp-up period or sample run needed.
99.99995% Detection Accuracy: a well trained model can reach extremely high accuracy and low false positive rates even at full line speed.
Fallen, misaligned and damaged can detection: our station can detect other abnormalities.
Full production speed: inspection rate of over 2500 cans per minute. Performance can be scaled with processing hardware.
Zero Changeover Downtime: Recognizes each SKU automatically as it starts running. No operator “train” step, no teaching the system between batches. Perfect for even small batches.
No ramp-up period: Flags a mismatched can the moment it appears. No ramp-up period or sample run needed.
99.99995% Detection Accuracy: a well trained model can reach extremely high accuracy and low false positive rates even at full line speed.
Fallen, misaligned and damaged can detection: our station can detect other abnormalities.
System includes:
Software
Deep learning platform. Annotation, model training, evaluation and analytics.
Hardware
All necessary mounts, supports, rigging and cabling.
IP protected edge processing hardware and installation.
2 cameras collect a 360 degree view of the can.
Deployment
Collection of on-site training data and model training.
Evaluate and refine the model until all agreed KPIs are achieved.
Integrate with your rejection, PLC, SEM and ERP systems.
Hardware scoping and installation.
Support
On-site service and support for the system.
Remote monitoring and troubleshooting when necessary.
– Customer, beverage industry
Why Foreign / Rogue Cans Slip Past
A rogue can happens when an empty can meant for one product ends up on the wrong filling line — a domestic-market can filled with an export formulation, or a leftover can from the previous batch mixed into a new run.
According to our estimates there are hundreds of rogue can incidents each year globally and only a small percentage are caught.
Because SKUs in a portfolio can share near-identical can geometry and print design, the two cans can look almost identical to a traditional inspection system.
- Traditional label verifiers are not built to tell apart two versions of the same label with only a subtle formulation difference.
- Traditional systems can be hard to tune, tightening thresholds to catch subtle differences means risking more false rejects.
Rogue Can Detection: MarshallAI vs. Legacy Label Verifiers
| Operational Aspect | Legacy Label / Deco Verifiers | MarshallAI – Rogue Can Detector |
|---|---|---|
| Detection basis | Compares small low resolution area against a reference and flags deviation past a set threshold. | Verifies each can’s full label against the SKU that should be running |
| Near-identical SKU variants (e.g. domestic vs. export) | Prone to miss; differences can fall inside the pattern-matching tolerance. | Built to detect even minor differences and trained on every SKU’s distinct features. |
| New batch / SKU changeover | Some solutions require a “learning” step for a new batch. | Recognizes the new SKU automatically — protected from the first can, no learning step. |
| Detection reliability | Depends on sample size and a sensitivity setting, trading off missed defects against false rejects. | Extremely low false positives and over 99.99995% proven accuracy can be achieved with a well trained model. |
| Scope | Single-purpose module for label/deco inspection. | One MarshallAI station can cover rogue can, fallen can, and damaged cans detection |
Case studies
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Eliminating Rogue Cans: High-Speed QA in Beverage ManufacturingA global beverage manufacturer spent 15 years trying to reliably intercept “rogue cans” on their high-speed filling lines. Discover how MarshallAI deployed a minimal latency edge vision system to inspect 2,500 cans per minute, preventing mismatched products and costly mechanical jams with near-perfect precision.
Beverage industry Quality assurance
Questions & Answers
Does MarshallAI need to “learn” each new SKU before it can protect the line?
No. Every SKU in your portfolio is modeled in advance, so the system recognizes what’s running the moment a changeover happens. There’s no operator-triggered training step and no window where the line is unprotected.
What happens when a rogue/foreign can is detected?
We can issue an alert, halt the line or integrate with a rejection mechanism. Timelined statistics are also provided for total products and faulty products for OEE optimisation and root cause analysis.
Can it tell apart two versions of the same can — like a domestic and export variant?
Yes. This is exactly where MarshallAI excels. Because the model verifies a can’s full identity rather than comparing print patterns against a similarity threshold, it catches differences that fall below what pattern-matching systems are tuned to flag.
Does inspection data leave our facility?
No. Processing runs entirely on-site. Detection images and production data stay on your network.
Will this slow down our line or require a new SKU program for every product?
No. MarshallAI runs at full line speed: 2500+ cans a minute and handles SKU changeovers automatically, with no reconfiguration required.
