Get Vision AI into Production Today
Automate quality inspections, gain real-time insights, and enhance manufacturing precision.
Add a real-time inspection layer to every gear with vision AI for gear inspection. Built for the operations where one damaged tooth hides among ninety identical ones, grinding burn shows itself a year later as micropitting, and the ding that fails the noise bench happened somewhere between the grinder and assembly. Whether you're hobbing and grinding gears, running heat treat, or building gearboxes and drive units, Roboflow inspects every tooth, flank, and spline at line rate, with per-gear records behind every build.
Teeth and Surfaces:
Splines, Bores, and Features:
Lines, Cells, and Systems Integration:
Bring intelligence to every gear today. Stop gear defects from becoming whine claims, noise-bench rejects, or the field failure a teardown traces back to one tooth.
What is gear inspection with Vision AI?
Gear inspection with vision AI uses computer vision models to inspect gears through machining, heat treat, and assembly: nicks, dings, and handling damage on tooth flanks and tips, grinding burn discoloration and finish anomalies, spline, keyway, and groove condition, chamfer and deburr verification, and tooth completeness on powder metal gears. Models trained on your actual gears inspect every unit at line rate, with per-gear records tied to serial that support IATF 16949 and AS9100 documentation.
Can Vision AI catch one damaged tooth among dozens of identical ones?
A gear is repetition made of steel: dozens of identical teeth, specular machined surfaces that throw highlights, and geometry that repeats so perfectly a single nick hides inside the rhythm. Deep-learning models trained on your actual gears, finishes, and lighting learn what a healthy tooth looks like in every position around the gear, flag the flank that breaks the pattern, hold that judgment across part numbers and modules, and route borderline gears to a bench check instead of guessing, a standard that matters more as EVs strip away the engine noise that used to cover a marginal gear.
Does this replace our gear checkers and roll testers?
No. Analytical gear inspection machines keep owning lead, profile, index, and runout, roll testers keep owning mesh and noise, and nital etch stays the referee for grinding burn under ISO 14104. Vision AI adds the visual layer those instruments don't cover: the nick no profile trace happens to cross, burn discoloration screened on every gear instead of the etched sample, chamfer, deburr, and spline condition, and the handling damage that arrives after metrology has already signed off. Visual findings and gauge data land in the same per-gear record.
Can it integrate with our hobbing cells, grinders, PLCs, and MES?
Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so gear inspection events flow into your existing systems: hobbing cell and grinder 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. PLC-level integration routes a flagged gear the moment a check fails, and every event carries serial, machine, hob, imagery, and disposition, with a full audit trail behind every build.
