Tire and Wheel Tracking AI

Add a real-time OCR layer to every tire and every wheel on the line with Vision AI for tire and wheel tracking. Roboflow extends OCR coverage to every green tire, cured tire, and wheel on the line, on the cameras and inspection stations your plant already runs.

DOT, TIN, and Sidewall OCR on Cured Tires:

• Read DOT codes (plant + optional manufacturer + date code) and the 13-character TIN under 49 CFR Part 574 on rubber-on-rubber embossed sidewalls with subtle mold-release wax residue where rule-based readers drop below acceptance
• Read tire size, load index and speed rating, UTQG treadwear/traction/temperature, ECE type-approval marks, and EU Tyre Label pictogram verification on every cured sidewall
• Read mold numbers, compound lot codes, and green-tire-to-cured-tire barcode linkage on the second sidewall for full traceability from building drum through curing to final QC

Green-Tire Barcode, X-Ray, Uniformity, and Balancing OCR:

• Track green-tire 2D DataMatrix reads at the building drum, through conveyors, at the curing-press loader, and through the 150-180C cure, so compound lot and build spec stay linked to the cured tire
• Integrate at X-ray inspection tunnels (Collmann, ATE Solid Vision, Bosello) to link defect records (belt-edge separation, ply-line anomaly, embedded contamination) to the tire serial via barcode or DOT read
• Integrate at tire uniformity machines (Akron Standard, Camoga) and dynamic balancing stations (Hofmann, Beissbarth) to link corrected sidewall markings and balance callouts to the cured tire serial

Wheel OCR, OEM Assembly-Cell Integration, and Compliance Records:

• Read aluminum wheel spec codes, forging or casting lot numbers, and painting/coating batch codes on forged, cast, magnesium, and steel wheels for OEM automotive customers
• Read the DOT code at the OEM tire-and-wheel-assembly cell (rubber-on-rubber, automotive-plant lighting, under 20-30 second cycle time) and pair it with the wheel spec code for tire-and-wheel-to-VIN traceability
• Log every read with per-character confidence, image crop, character segmentation, matched vs. mismatch flag, station ID, compound lot, mold number, curing-press ID, DOT code, and TIN for IATF 16949 batch record evidence, TREAD Act Early Warning Reporting, 49 CFR Part 574 tire ID record-keeping, and AIAG PPAP submissions

Bring intelligence to every tire and every wheel today. Stop misread DOT codes, illegible green-tire barcodes, and wrong-mold-number sidewall stamps from becoming TREAD Act exposure, DOT recalls, or IATF 16949 field-return claims.

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More About Tire and Wheel Tracking

What is tire and wheel tracking with Vision AI?

Tire and wheel tracking with Vision AI uses computer vision models (opens in a new tab) on green-tire building drums, curing-press loaders, post-cure inflation, X-ray inspection tunnels, uniformity and balancing machines, aluminum wheel casting and machining lines, final QC, and OEM tire-and-wheel-assembly cells to read every DOT code, TIN, tire size, load index and speed rating, UTQG treadwear/traction/temperature, ECE type-approval mark, EU Tyre Label artwork, green-tire 2D DataMatrix, cured-tire mold number, compound lot code, and aluminum wheel spec code on every tire and wheel at line speed.

Can Vision AI read rubber-on-rubber DOT codes and cured barcodes that rule-based readers miss?

Yes. Roboflow models are trained on your actual green-tire, curing-press, X-ray, uniformity, and assembly-cell imagery across your real tire and wheel mix, and produce per-character confidence, image-crop-per-read, and DOT/TIN match/mismatch flags.

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