How does AI tire scanning work?

TyreCam AI runs a hybrid pipeline: a Stage 0 defect gatekeeper in the browser, then server-side ROI detection, Depth U-Net, wear classification, TWI grid/heatmap, interactive 3D surface mesh reconstruction, and a Physics-Based Fusion Engine with Safety Shield. Upload a tire tread photo to get estimated depth in mm and US 32nds in seconds.

Is the tire scanner free to use?

Yes. You can run 3 scans per day without registration, or 10 scans per month with a free account. Core analysis features stay free while we improve model accuracy.

How accurate is the AI tire analysis?

The system fuses multiple ONNX models (depth U-Net and wear classifier) through an equal-mean Fusion Engine and Safety Shield, with conservative depth ranges. Results are estimates from a single photo and may be marked Preliminary. For safety-critical decisions always consult a professional tire technician.

What tire wear levels does the scanner detect?

TyreCam AI maps estimated tread depth into 5 categories: New (≥7mm / 9/32"+), Good (5–6.9mm / 6-8/32"), Medium (3–4.9mm / 4-5/32"), Worn (1.6–2.9mm / 2-3/32") and Critical (<1.6mm / <2/32"). The 1.6mm threshold is the common legal minimum in many countries.

Do I need to download an app?

No app download required. TyreCam AI works directly in your web browser on smartphone, tablet or computer.

What does TyreCam AI not detect yet?

Current scope is tread depth estimation, 3D relief reconstruction, and wear scoping from a tread photo. Cracks, dry rot, sidewall damage and complex uneven wear patterns are on the roadmap and are not a substitute for live professional inspection.

SYS.ONLINE // SPATIAL 3D RELIEF & TREAD DIAGNOSTICS

AI Tire Scanner & Tread Analysis
Computer Vision & 3D Relief

Instantly analyze tire tread depth, interactive 3D surface relief, and safety compliance from a single photo (mm & US 32nds).

INITIATE_SCAN

Drag & drop a high-resolution tire image here, or choose an upload method below.

Shoot the tread face vertically and fill the frame for best results.

PDF Diagnostic Reports: Registered operators unlock PDF downloads with 3D relief metrics, THI, TWI markers, and scan history.

Spatial 3D Tread Relief

Interactive 3D surface mesh reconstruction generated directly from 2D tread camera captures for physical inspection.

Multi-Stage AI Cascade

Browser-side pre-screening combined with server-side U-Net depth mapping and wear classifiers for maximum accuracy.

TWI & Dual-Unit Metrics

Geometric consensus detection of Tread Wear Indicators with metric (mm) and US fractional (32nds) conversion.

TREAD_DEPTH_REFERENCE_CHART (MM & 32NDS)

Standard tire wear classification limits used by Tyrecam AI diagnostic engine.

Condition Grade	Metric Depth (mm)	US Standard (32nds)	Safety Status
New / Excellent	7.0+ mm	9/32"+	Optimal Safety
Good Condition	5.0 – 6.9 mm	6/32" – 8/32"	Safe for Driving
Medium Wear	3.0 – 4.9 mm	4/32" – 5/32"	Plan Replacement Soon
Worn / Near Limit	1.6 – 2.9 mm	2/32" – 3/32"	Replace Immediately
Critical / Illegal Limit	< 1.6 mm	< 2/32"	UNSAFE / ILLEGAL

* Note: In most US jurisdictions, tires are legally worn out at 2/32" (1.6 mm). In wet or snowy driving conditions, replacement is recommended at 4/32" (3.0 mm) or earlier for optimal hydroplaning resistance.

AI Tire Scanner & Tread Analysis Computer Vision & 3D Relief