Vehicle Damage Assessment
Analyze vehicle damage photos using local Qwen2.5-VL vision AI. Detect dents, scratches, cracks, and panel damage. Returns damage classification, severity score, affected panels, and repair complexity estimate. Built for insurance claims and auto body shops.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
images |
array | ✅ | Vehicle damage photo URLs or base64 (up to 20) |
vehicle_type |
string | ❌ | sedan, suv, truck, motorcycle (auto-detected) |
include_repair_estimate |
boolean | ❌ | Return repair complexity tier (default: true) |
Example Response
{
"vehicle_detected": "sedan",
"total_damage_areas": 3,
"damage_findings": [
{"panel": "front_bumper", "damage_type": "crack", "severity": "severe", "area_pct": 40},
{"panel": "hood", "damage_type": "dent", "severity": "moderate", "area_pct": 15},
{"panel": "driver_headlight", "damage_type": "broken", "severity": "severe", "area_pct": 80}
],
"overall_severity": "moderate-severe",
"repair_complexity": "tier_3",
"total_loss_indicator": false,
"confidence": 0.91
}
Use Cases
- Auto insurance first notice of loss (FNOL) automation
- Used car marketplace damage disclosure verification
- Rental car return damage documentation
Access
# x402 endpoint — pay $0.05 USDC per call (Base mainnet)
POST https://x402.ntriq.co.kr/vehicle-damage
# Service catalog
curl https://x402.ntriq.co.kr/services
x402 micropayments — USDC on Base, gasless EIP-3009