# Detect Infrared Living Face Face And Body Analysis

Use this visual AI API when the task needs the visual analysis task described by action 对红外人脸任务进行活体检测。. Send the schema keys exactly as listed (Tasks); required parameters: Tasks.

This is a paid API service exposed by Server402 for AI agents, MCP clients, OpenAPI importers, and applications. Call the endpoint once without payment to receive HTTP 402 payment instructions, complete payment, then retry with the returned payment token or x402 signature.

## Invocation

- Service ID: `infrared-face-liveness-detection`
- Canonical service ID: `infrared-face-liveness-detection`
- Legacy internal service ID: `aliyun-facebody-detect-infrared-living-face`
- Method: `POST`
- Endpoint: `https://aivps.lat/api/tools/infrared-face-liveness-detection`
- Legacy endpoint: `https://aivps.lat/api/tools/aliyun-facebody-detect-infrared-living-face`
- Service page: https://aivps.lat/services/infrared-face-liveness-detection
- OpenAPI: https://aivps.lat/openapi.json
- Catalog search: https://aivps.lat/api/catalog/search?q=infrared-face-liveness-detection
- MCP endpoint: https://aivps.lat/mcp
- MCP tool: `infrared_face_liveness_detection`

## Pricing And Payment

- Price: USD 0.20
- Billing mode: `per_call`
- Max calls per payment: `1`
- Payment provider: `x402_facilitator`
- Payment flow: call without payment, receive `402 Payment Required`, pay, then retry with `X-Payment-Token` or `PAYMENT-SIGNATURE`.
- Payment hint: Create a payment with POST /api/payments using serviceId="infrared-face-liveness-detection", then pass the returned token in X-Payment-Token or MCP paymentToken.

## Use Cases

- the visual analysis task described by action 对红外人脸任务进行活体检测。
- Call one focused visual AI capability directly with JSON inputs
- Use public image or video URLs and structured parameters to get machine-readable results

## Keywords

DetectInfraredLivingFace, 阿里云人脸人体 红外人脸活体检测, face detection, body detection, pose estimation, face recognition, liveness detection, human analysis, detect, infrared, living, face

## Input Schema

```json
{
  "description": "Use Alibaba Cloud RPC parameter names exactly, for example ImageURL, ImageUrl, Url, URL, JobId, or Tasks depending on the service.",
  "properties": {
    "Tasks": {
      "description": "Alibaba Cloud JSON array of task objects. A JSON string is also accepted and forwarded as-is.",
      "type": "array"
    }
  },
  "required": [
    "Tasks"
  ],
  "type": "object"
}
```

## Output Schema

```json
{
  "properties": {
    "code": {
      "type": "string"
    },
    "content": {
      "type": "string"
    },
    "data": {
      "type": "object"
    },
    "message": {
      "type": "string"
    },
    "requestId": {
      "type": "string"
    }
  },
  "required": [
    "requestId",
    "data"
  ],
  "type": "object"
}
```

## Example Request

```json
{
  "Tasks": [
    {
      "ImageURL": "https://example.com/image.jpg"
    }
  ]
}
```

## Example Response

```json
{
  "code": "200",
  "content": "",
  "data": {
    "Action": "DetectInfraredLivingFace",
    "Result": "example result from Alibaba Cloud facebody"
  },
  "message": "success",
  "requestId": "example-request-id"
}
```