Can Seam Inspection AI

Catch droops, false seams, and cut-overs on every can, not just the teardown samples.

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Can Seam Inspection AI Across Beverage, Food, and Aerosol Canning

Deploy Anywhere, Run Everywhere
Run can seam inspection on the edge, on-prem, in your VPC, or via API, wherever your seamers and canning lines need it.
One Platform, Full Adoption
Tools every canning team can adopt, from seamer mechanics and line operators to packaging engineers, QA techs, and quality leads, no separate ML team required to ship and own inspection models.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, and an uptime SLA, with inspection records that support FDA 21 CFR 113 low-acid canned food seam programs, HACCP, and BRCGS audit requirements.

“We’ve seen situations where, by reducing waste, a single food processor can eliminate the equivalent of millions of tons of carbon per year. It feels great seeing AI-powered insights improve profitability and contribute to sustainability goals.”

Rian McDonnell

Founder and CEO, FloVision

Read the full story See customer stories

Talk to a vision AI engineer who's shipped seam inspection on a canning line.

A false seam that holds in the plant and lets go in a distribution warehouse, seamer head that runs defects for three hours between teardown checks, or cut-over sharp enough to cut the hand that opens it can mean swollen cans coming back by the pallet, a low-acid recall with regulators involved, and a seamer rebuild nobody scheduled. Bring us your toughest can seam inspection problem and we'll map a working solution.

Ask us about:

Solution architecture for FDA 21 CFR 113 seam programs, HACCP, and BRCGS environments
Live demo on your seam imagery, can line footage, or end and flange photos
Deployment options: edge, on-prem, air-gapped, or VPC, with integration into seamers, line PLCs, rejects, and MES
ROI modeling against seam-related holds, distribution returns, teardown sampling gaps, and seamer maintenance timing

Over 16,000 organizations build with Roboflow.

Rivian
Pella
Chobani
USG Corporation
BNSF Railway
American Woodmark

Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

Automotive customer
$10 million
Saved by automatically detecting defects on the production line
Logistics & freight company
90%
Less time spent manually tracking shipping inventory
Building materials supplier
60%
Lower customer return rate with improved product quality

Inspect Every Seam Between the Teardowns, with Vision AI

Add a real-time inspection layer to every can with vision AI for can seam inspection. Built for the operations where the teardown at hour four blesses a seam the seamer stopped making at hour one, a droop small enough to pass a glance becomes a leaker in the warehouse, or the first sign of a worn chuck is a pallet of swollen cans coming back with a claim attached. Whether you're seaming beverage cans at full line speed, low-acid food cans under 21 CFR 113, or aerosols and specialty containers, Roboflow watches every seam, end, and flange, with per-can records and seamer-head trends behind every reject.

Double Seam and Closure Defects:

Catch droops, vees, and false seams on every can at line rate, the visible failures that become leakers
Detect cut-overs, sharp seams, and pleats the moment a seaming station starts producing them
Flag incomplete, skidded, and deadhead seams before they leave the seamer discharge

Bodies, Ends, and Flanges:

Catch flange dents and body damage before the seamer, where a damaged flange guarantees a bad seam
Inspect ends for tab, score, and compound-line defects on every lid, not sampled ones
Flag deformed and damaged cans that jam conveyors and star wheels downstream

Seamers, Records, and Systems Integration:

Trend defects by seamer head and station, so a worn chuck or bent lever reaches the mechanic as an early warning between teardowns
Reject flagged cans in real time through PLC integration, before they reach the filler-seamer discharge accumulation
Keep per-can records with imagery that support 21 CFR 113 visual inspection documentation and incident investigations

Bring intelligence to every seam today. Stop seam defects from becoming warehouse leakers, low-acid recalls, or seamer rebuilds discovered by claim.

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More About Can Seam Inspection

What is can seam inspection with Vision AI?

Can seam inspection with vision AI uses computer vision models to inspect double seams, ends, and flanges on every can: droops, vees, false seams, cut-overs, pleats, flange and body damage, and end defects. Models trained on your actual cans and seamers inspect at line rate between your teardown checks, with per-can records and seamer-head trends that support FDA 21 CFR 113 documentation and HACCP programs.

Can Vision AI see seam defects on cans moving at full line speed?

The double seam is the hard case: a band of rolled metal a few millimeters tall on a spinning, reflective can moving through the seamer discharge at hundreds per minute, where the difference between normal seam profile variation and a droop is subtle by design. Deep-learning models trained on your actual cans, ends, and lighting learn each format's correct seam appearance, hold that judgment across can sizes and coatings, and flag borderline seams for review instead of guessing. Camera placement and counts are sized to your line speed during solution design.

Does this replace seam teardowns and seam scanners?

No. Teardown measurement and seam scanners remain the instruments of record for seam dimensions, overlap, and tightness, and 21 CFR 113 keeps its required schedule. Vision AI closes the gap between those checks: every can inspected visually instead of a sample every few hours, so a seaming station that drifts at hour one gets caught at hour one, with the affected window documented instead of estimated. The teardown confirms the dimensions; the vision record shows when the problem started and which head made it.

Can it integrate with our seamers, PLCs, and MES?

Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so seam inspection events flow into your existing systems: line PLCs from Allen-Bradley and Siemens driving rejects, MES and ERP platforms like SAP and Oracle, and SCADA and HMI platforms like Ignition and AVEVA, through REST, MQTT, OPC UA, and direct database writes. PLC-level integration rejects a flagged can the moment a seam fails, and every event carries line, seamer head where derived, timestamp, and imagery, with a full audit trail behind every shift.

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Can Seam Inspection AI