

Add a real-time inspection layer to every stamped part on the line with vision AI for stamping defect detection. Built for the operations where one split hiding under drawing oil, wrinkle in a flange, or missed pierce found at the customer's assembly plant can mean a containment action across thousands of parts, a sorted and re-inspected shift of production, or a die running damaged for hours before anyone knows. Whether you're inspecting deep draws off a transfer press, progressive die parts at hundreds of hits per minute, or Class A panels headed for paint, Roboflow extends your QC coverage to every hit, validatable under ISO 9001 and IATF 16949.
Draw, Form, and Trim Defects:
Surface Defects on Stamped Panels:
Die Health, Missed Operations, and Line Integration:
Bring intelligence to every hit today. Stop stamping defects from becoming containment actions, customer line stops, or damaged dies.
What is stamping defect detection with Vision AI?
Stamping defect detection with vision AI uses computer vision models to inspect stamped metal parts as they come off the press: deep draws, progressive die parts, trimmed and pierced components, and finished panels. Models trained on your actual parts catch splits, tears, wrinkles, burrs, scratches, galling, and missed operations on every hit rather than sampled parts, at press-line rates, with per-part records that support ISO 9001 and IATF 16949 quality systems.
Can Vision AI catch splits and cracks at press speed?
Press speed and surface conditions are what make stamping inspection hard: parts moving at hundreds of hits per minute, drawing oil and lube films throwing glare across reflective steel and aluminum, and splits that start as thin shadow lines along a stretch flange. Deep-learning models trained on your real parts, your lube conditions, and your lighting recognize defect morphology through glare and oil sheen, and run on edge hardware at press cycle rates so every hit gets inspected without slowing the line.
Does stamping defect detection support IATF 16949 and PPAP?
Yes. Roboflow models can run as documented inspection controls inside your ISO 9001 (quality management systems) and IATF 16949 (automotive quality management) processes, with per-part inspection records, model version history, and training data lineage that support PPAP (Production Part Approval Process) and APQP (Advanced Product Quality Planning) submissions and customer audits, plus AS9100 for aerospace stamping programs. Roboflow is the inspection engine; your quality team owns the acceptance criteria.
Can it integrate with our press-line PLCs, die protection, and MES?
Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so stamping inspection events flow into your existing systems: press-line PLCs from Allen-Bradley and Siemens, SCADA and HMI platforms like Ignition and AVEVA, MES and ERP systems like SAP and Oracle, through REST, MQTT, OPC UA, and direct database writes. PLC-level integration drives press stops, part diverts, and containment flags where a detected defect needs to stop the line or divert the part, working alongside your die protection system, with a full audit trail behind every decision.