# Damage Detection Vision API

*/Software/Damage_Detection_Vision_API*

## Solution Overview

The Damage Detection Vision API ingests raw image feeds and video frames to identify, classify, and score physical anomalies on manufactured surfaces. It processes visual inputs of vehicles, shipping containers, and industrial equipment, returning structured payloads containing bounding boxes, specific damage categories like dents or oxidation, and confidence scores. The system converts unstructured visual inspections into standardized metadata detailing the exact location and severity of structural defects.

Operations managers at logistics fleets, rental car agencies, and auto insurance carriers integrate this primitive to eliminate manual inspection bottlenecks. Instead of relying on ground staff to log subjective assessments on clipboards, these buyers use the API to instantly parse photos captured at transfer gates or return kiosks. This removes the variance in damage reporting across different shifts and locations, establishing an objective baseline for wear and tear.

As a headless SaaS primitive, the API sits directly above hardware camera arrays and cloud storage buckets, consuming raw image files from the physical layer. It is consumed above by automated claims-processing agents and fleet-management dashboards that trigger repair workflows or bill customers based on the parsed data. For anomalies flagged with a low confidence score or categorized as high-severity structural damage, the system halts automated routing and queues the visual evidence for a human adjuster to verify before any financial transaction executes.

## Headless Saas Data Model

**Entities**:
- Name: Inspection · Description: A discrete visual assessment event for a specific physical asset
- Name: InspectionImage · Description: Raw image files or video frames ingested from physical camera arrays
- Name: Anomaly · Description: Structured payload representing a specific physical defect and its spatial coordinates
- Name: VerificationTask · Description: Review queue item for human validation of low-confidence or high-severity anomalies
- Name: Workspace · Description: Tenant isolating physical inspection data and configurations for a specific enterprise customer
**Relations**:
- To: Inspection · From: Workspace · Label: owns inspections · Cardinality: one-to-many
- To: InspectionImage · From: Inspection · Label: contains images · Cardinality: one-to-many
- To: Anomaly · From: InspectionImage · Label: detects anomalies · Cardinality: one-to-many
- To: VerificationTask · From: Anomaly · Label: queues verification task · Cardinality: one-to-one
**Tenant Anchor**: Workspace
**Primary Resource**: Inspection

## Api Definition

**Protocols**:
- REST
- SDK
- MCP
- Webhooks
**Consumed By**:
- [Claims Processing Agent](/Agents/Claims_Processing_Agent)
- [Fleet Maintenance Agent](/Agents/Fleet_Maintenance_Agent)
- [Rental Return Agent](/Agents/Rental_Return_Agent)
**Integrations**:
- [AWS S3](/Products/AWS_S3)
- [Samsara](/Products/Samsara)
- [Google Cloud Storage](/Products/Google_Cloud_Storage)
- [Azure Blob Storage](/Products/Azure_Blob_Storage)
**Consumption Model**: An agent registers the MCP server to invoke asset assessments via storage URIs, then subscribes to the inspection.completed webhook to ingest structured anomaly data.
**Workflow Wrappers**:
- Name: Assess Asset Condition · Wraps: Creates the inspection, attaches file URLs, and blocks until anomaly detection completes.
- Name: Process Inspection Batch · Wraps: Ingests images, scores anomalies, and routes low-confidence bounding boxes to verification queues.
- Name: Apply Adjuster Resolutions · Wraps: Applies human decisions to verification tasks and updates parent anomaly severity scores.

## Api Function Cascade

**Ai Role**: Generative vision models score asset imagery and extract damage bounds entirely straight-through via API, only routing low-confidence edge cases to an external human queue for exception review.
**Cascade**:
- Kind: Code · Note: Fetches image files from configured S3 or Samsara storage buckets. · Step: Ingest Asset Imagery · Verb: ingest · Realizes: Ingest Image Data · Oversight: none
- Kind: Generative · Note: Identifies damage coordinates and assigns severity scores to anomalies. · Step: Detect Surface Anomalies · Verb: inspect · Realizes: Inspect Asset Condition · Oversight: none
- Kind: Code · Note: Stages low-confidence bounding boxes for downstream adjuster verification. · Step: Queue Ambiguous Detections · Verb: route · Realizes: Route Exceptions · Oversight: review-on-exception
- Kind: Code · Note: Fires inspection.completed webhook with structured anomaly data and URLs. · Step: Emit Inspection Results · Verb: emit · Realizes: Report Inspection Findings · Oversight: none
**Optimizes**:
- [Damage Detection Precision](/Metrics/Damage_Detection_Precision)
- [Inspection Processing Latency](/Metrics/Inspection_Processing_Latency)
- [First-Pass Anomaly Yield](/Metrics/First-Pass_Anomaly_Yield)
- [False Positive Rate](/Metrics/False_Positive_Rate)

## Headless Saas Representative Offer

**Warranty**: Guarantees a 99.9% API uptime SLA, offering prorated usage credits if inference availability drops below the stated threshold.
**Price Band**: Roughly $0.01 to $0.15 per image analyzed or batched inspection, depending on volume commitments and model resolution.
**Pricing Kind**: UsageMeter
**Deliverables**:
- Structured anomaly data with bounding box coordinates and severity scores
- Inspection completion webhook payloads
- Human-in-the-loop verification queue endpoints
- REST API and MCP server bindings for image ingestion
**Delivery Mode**: The developer or AI agent provisions an API key or MCP server self-serve, instantly unlocking access to meter inference endpoints.
**Business Function**: ProvideService
**Agent Checkout Support**:
- agentic-commerce-protocol
- stored-credential

## Headless Saas Crud Surface

**Auth Model**: API Key
**Endpoints**:
- GET /inspections — list discrete visual assessment events
- POST /inspections — create a new visual assessment event
- GET /inspections/{id} — retrieve a specific inspection record
- PATCH /inspections/{id} — update inspection status or metadata
- GET /inspections/{inspectionId}/inspection-images — list raw image files ingested for an inspection
- POST /inspections/{inspectionId}/inspection-images — ingest a raw image file or video frame
- GET /inspection-images/{id} — retrieve a specific inspection image record
- PATCH /inspection-images/{id} — update image metadata or camera identifier
- GET /inspection-images/{inspectionImageId}/anomalies — list structured payloads of physical defects detected in an image
- POST /inspection-images/{inspectionImageId}/anomalies — register a specific physical defect and its spatial coordinates
- GET /anomalies/{id} — retrieve a specific anomaly record
- PATCH /anomalies/{id} — update anomaly category, severity, or bounding box
- GET /anomalies/{anomalyId}/verification-tasks — list verification review tasks queued for an anomaly
- POST /anomalies/{anomalyId}/verification-tasks — queue a human validation task for a low-confidence or high-severity anomaly
- GET /verification-tasks/{id} — retrieve a specific verification task
- PATCH /verification-tasks/{id} — update verification task status and reviewer notes
- POST /verification-tasks/{id}/resolve — transition the validation task status to resolved
- GET /workspaces — list tenant workspaces isolating physical inspection data
- POST /workspaces — provision a new workspace tenant
- GET /workspaces/{id} — retrieve workspace configuration
- PATCH /workspaces/{id} — update workspace configuration
**Multitenancy**: Row-level isolation
**Webhook Events**:
- inspection.status_changed
- inspection_image.ingested
- anomaly.detected
- verification_task.resolved

## Headless Saas Erd

```mermaid
erDiagram
Workspace ||--o{ Inspection : "owns inspections"
Inspection ||--o{ InspectionImage : "contains images"
InspectionImage ||--o{ Anomaly : "detects anomalies"
Anomaly ||--|| VerificationTask : "queues verification task"

Inspection {
  UUID id PK
  UUID workspaceId FK
  VARCHAR subjectIdentifier
  VARCHAR status
  TIMESTAMP createdAt
}

InspectionImage {
  UUID id PK
  UUID inspectionId FK
  VARCHAR fileUrl
  VARCHAR cameraIdentifier
  TIMESTAMP captureTimestamp
}

Anomaly {
  UUID id PK
  UUID inspectionImageId FK
  VARCHAR category
  VARCHAR severity
  DECIMAL confidenceScore
  JSONB boundingBox
}

VerificationTask {
  UUID id PK
  UUID anomalyId FK
  VARCHAR status
  TEXT reviewerNotes
  TIMESTAMP resolvedAt
}

Workspace {
  UUID id PK "tenant key"
  VARCHAR name
  TIMESTAMP createdAt
}
```

## Neighborhood

### Composed into

- [Dockside Cargo Inspection Agent](/Agents/Dockside_Cargo_Inspection_Agent) — composes · Agents

### Optimizes

- [Damage Detection Precision](/Metrics/Damage_Detection_Precision) — optimizes · Metrics
- [False Positive Rate](/Metrics/False_Positive_Rate) — optimizes · Metrics
- [First-Pass Anomaly Yield](/Metrics/First-Pass_Anomaly_Yield) — optimizes · Metrics
- [Inspection Processing Latency](/Metrics/Inspection_Processing_Latency) — optimizes · Metrics

### What it uses

- [Azure Blob Storage](/Products/Azure_Blob_Storage) — uses · Products
- [Google Cloud Storage](/Products/Google_Cloud_Storage) — uses · Products
- [Samsara](/Software/Samsara) — uses · Software
- [AWS S3](/Products/AWS_S3) — uses · Products

### Who consumes this

- [Claims Processing Agent](/Agents/Claims_Processing_Agent) — consumed by · Agents
- [Fleet Maintenance Agent](/Agents/Fleet_Maintenance_Agent) — consumed by · Agents
- [Rental Return Agent](/Agents/Rental_Return_Agent) — consumed by · Agents

### Similar Agents

- [Damage Detection Agent](/Agents/Damage_Detection_Agent) — similar · Agents
- [Photographic Audit API](/Agents/Photographic_Audit_API) — similar · Agents
- [Receipt Extraction API](/Agents/Receipt_Extraction_API) — similar · Agents

### Similar Software

- [Visual Repair Estimator](/Software/Visual_Repair_Estimator) — similar · Software
- [Machine Vision Software](/Activities/Inspecting/Software/Machine_Vision_Software) — similar · Software
- [Machine Vision Software](/Software/Machine_Vision_Software) — similar · Software
- [Identity Verification APIs](/Metrics/KYC_Cycle_Time/Software/Identity_Verification_APIs) — similar · Software
- [Fraud Scoring API](/Software/Fraud_Scoring_API) — similar · Software
- [Invoice Validation](/Software/Invoice_Validation) — similar · Software
- [Document Extraction Model](/Software/Document_Extraction_Model) — similar · Software

### Similar Startups

- [Tractable](/Startups/Tractable) — similar · Startups
- [Atomnon](/CompanyTypes/Non-Destructive_Testing_(NDT)_Contractor/Problems/Defect_Reporting_Latency/Startups/Atomnon) — similar · Startups
- [Brown](/Metrics/Application_Processing_Cycle_Time/Problems/Document_Verification_Backlogs/Startups/Brown) — similar · Startups
- [Cleanpost](/CompanyTypes/Non-Destructive_Testing_(NDT)_Contractor/Problems/Defect_Reporting_Latency/Startups/Cleanpost) — similar · Startups
- [Convoyage](/CompanyTypes/Non-Destructive_Testing_(NDT)_Contractor/Problems/Defect_Reporting_Latency/Startups/Convoyage) — similar · Startups

### Similar Metrics

- [Defect Detection Accuracy](/Metrics/Defect_Detection_Accuracy) — similar · Metrics

### Similar Opportunities

- [Visual Condition Grading](/Opportunities/Visual_Condition_Grading) — similar · Opportunities
- [Defect Classification API](/Opportunities/Defect_Classification_API) — similar · Opportunities