# facetrak

> facetrak — amariwan-facetrak. Use this tool when you need to detect and recognize faces in real-time, or track faces with precision pan-tilt movements. It solves problems in surveillance, human-computer interaction, and robotics by providing accurate face detection and tracking capabilities. The facetrak tool takes video input and outputs face coordinates and recognition data, making it ideal for applications requiring real-time face analysis.

Canonical page: https://skillsregistry.net/skills/amariwan-facetrak  
JSON: https://api.skillsregistry.net/v1/skills/amariwan-facetrak

## Description

Real-time face detection, recognition, and pan-tilt tracking with OpenCV and MediaPipe.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/amariwan/facetrak)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "amariwan-facetrak"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amariwan-facetrak` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amariwan-facetrak/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt