Stop Food Recalls Before They Start
Learn how food and beverage producers use vision AI to catch contamination and defects before products ship.
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:
Bodies, Ends, and Flanges:
Seamers, Records, and Systems Integration:
Bring intelligence to every seam today. Stop seam defects from becoming warehouse leakers, low-acid recalls, or seamer rebuilds discovered by claim.
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.
