Stent Inspection AI

Catch strut cracks, slag, and coating defects on every stent before it's crimped, packed, and implanted.

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Stent Inspection AI Across Laser Cutting, Polishing, and Coating

Deploy Anywhere, Run Everywhere
Run stent inspection on the edge, on-prem, in your VPC, or via API, wherever your laser cutters, electropolish lines, and inspection rooms need it.
One Platform, Full Adoption
Tools every device team can adopt, from laser and polish operators to inspection room staff, process engineers, and QA, 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 per-device records that support ISO 13485, FDA 21 CFR 820, and PMA documentation.

“We wanted to develop models using data we owned, have the ability to scale usage, leverage state-of-the-art AI capabilities, and along the way ensure the privacy of our users’ personal health information. That’s what we found in Roboflow.”

Alec Zopf

Co-founder and Chief AI & Automation Officer, Wellth

Read the full story See customer stories

Talk to a vision AI engineer who's shipped implant inspection.

A hairline crack at a crown that waits through crimping for a few million heartbeats of fatigue, a coating web that becomes particulate downstream, or slag the electropolish never cleared can mean a complaint that is also a clinical event, a field action on a Class III implant, and an inspection room where throughput is measured in minutes per device. Bring us your toughest stent inspection problem and we'll map a working solution.

Ask us about:

Solution architecture for ISO 13485, FDA 21 CFR 820, and PMA environments
Live demo on your strut imagery, coating photos, or rotational inspection footage
Deployment options: edge, on-prem, air-gapped, or VPC, with integration into inspection stations, line PLCs, and MES
ROI modeling against inspection room minutes per device, scrap, escapes, and complaint investigations

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 Strut on Every Stent, with Vision AI

Add a real-time inspection layer to every stent with vision AI for stent inspection. Built for the inspection rooms where a device is a lattice of three hundred struts on a tube two millimeters wide, a crack shows itself for a few microns at one rotation angle, and every unit spends minutes under a microscope on its way to a bloodstream. Whether you're laser cutting tubes, electropolishing, or coating drug-eluting devices, Roboflow inspects every strut, crown, and coated surface, with per-device records behind every implant.

Struts and Cut Quality:

Catch cracks, nicks, and incomplete cuts on struts, crowns, and connectors on every device
Flag slag, dross, and burrs from laser cutting before electropolish, and the pits it leaves behind after
Judge cut edge quality against each design's normal geometry, across sizes and patterns

Coating and Surfaces:

Detect coating webbing between struts, bare spots, cracks, and pooling on drug-eluting devices
Flag particulate and foreign material on surfaces headed for a bloodstream
Verify marker bands present and positioned, and surface finish consistent after polish

Rooms, Lines, and Systems Integration:

Give every inspection station the same judgment, so the standard doesn't vary by scope, inspector, or shift
Trend findings by laser, tube lot, and polish bath, so a drifting laser shows up in cut edges before it shows up in fatigue tests
Route devices in real time through station and MES integration, with per-device records that support ISO 13485 and 21 CFR 820 documentation

Bring intelligence to every implant today. Stop strut and coating defects from becoming clinical events, field actions, or the inspection room bottleneck measured in minutes per device.

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More About Stent Inspection

What is stent inspection with Vision AI?

Stent inspection with vision AI uses computer vision models to inspect stents through laser cutting, electropolishing, and coating: strut and crown cracks, nicks, and incomplete cuts, slag, dross, and burrs, electropolish pits, coating webbing, bare spots, and particulate on drug-eluting devices, and marker band verification. Models trained on your actual devices inspect every strut on every unit, with per-device records that support ISO 13485, FDA 21 CFR 820, and PMA documentation.

Can Vision AI inspect a stent's lattice?

The stent lattice stacks every hard case at once: hundreds of near-identical struts and crowns repeating around a polished tube a couple of millimeters wide, defects measured in microns, a mirror surface that throws glare, and geometry that has to be judged through rotation because a crack shows at one angle and hides at the rest. Deep-learning models trained on your actual designs, finishes, and rotational imagery learn each pattern's normal strut, edge, and coating, flag the crown that breaks it at any angle, hold that judgment across sizes and design families, and route uncertain devices to a scope instead of guessing, in seconds against the minutes a manual station takes.

Does this replace fatigue testing and SEM?

No. Fatigue, radial force, and expansion testing keep the functional record, run on sampled devices, and SEM keeps its qualification and failure-analysis role. Vision AI adds the every-device visual layer those methods can't give you: the nicked crown on a unit that was never going to be sampled, the coating web caught before crimping hides the surface, the slag flagged at the laser instead of the complaint file, on every device at production speed. Test data and visual findings land in the same per-device record, and a drifting trend in cut edges usually reaches the laser before the fatigue lab sees it.

Can it integrate with our inspection stations, PLCs, and MES?

Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so stent inspection events flow into your existing systems: inspection station and line PLCs from Allen-Bradley and Siemens, 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. Station-level integration routes a flagged device the moment a check fails, and every event carries device serial, lot, station, imagery, and disposition, with a full audit trail behind every implant.

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Stent Inspection AI