Tire and Wheel Tracking AI
Read DOT codes, TINs, and green-tire barcodes at line speed with computer vision.
Tire and Wheel Tracking AI Across Building, Curing, X-Ray, Uniformity, and Final Finish
Deploy Anywhere, Run Everywhere
Run tire and wheel tracking on on the edge, on-prem, in your VPC, or via API, wherever your tire and wheel plant needs it.
One Platform, Full Adoption
Tools every tire manufacturing team can adopt, no separate ML team required.
Built for DOT, TREAD Act, ECE, and IATF 16949 Traceability
Update OCR logic in minutes when DOT plant codes, TIN formats, ECE marking specs, or aluminum wheel spec codes change. SOC 2 Type II, encrypted data, and an uptime SLA on every deployment.
- DOT Code & TIN Reads on Cured Tire Sidewalls
- Green-Tire Barcode & 2D DataMatrix Tracking
- Mold Number & Compound Lot Traceability
- Aluminum Wheel Spec Code Reads
- IATF 16949, TREAD Act & DOT Records
- X-Ray, Uniformity & Balancing OCR Integration
“Roboflow has been instrumental in accelerating our deployment of innovative AI solutions.”
Travis Turnbull
Vice President & CIO, Pella Corporation
Talk to a Vision AI engineer who's shipped tire and wheel tracking on the plant floor.
A single misread DOT code on a cured sidewall, illegible green-tire 2D DataMatrix at the curing-press loader, or wrong-mold-number stamp can mean a TREAD Act Early Warning Reporting exposure, a curing-press hold that costs a full shift, or an IATF 16949 field-return warranty claim on a tier-one program. Bring us your toughest tire and wheel tracking problem and we'll map a working solution.
Ask us about:
- Solution architecture for US DOT (FMVSS 139/119, 49 CFR Part 574/573/579), UN ECE R30/R54, EU Tyre Label 2020/740, IATF 16949, and AIAG PPAP
- Live demo on your building drum, curing-press, X-ray, uniformity, or aluminum wheel imagery
- Deployment: edge, on-prem, air-gapped, or VPC, with tire-plant MES, curing-press PLC, X-ray, and OEM traceability portal integration
- ROI modeling against TREAD Act exposure, curing-press quarantine cost, IATF 16949 warranty, PPAP losses, and OCR hardware refresh
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Read Every DOT Code, TIN, and Barcode from Building Drum to Final QC, with Vision 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.
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 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.