# Hailo-8L-Analysis-Pipelines

> Hailo-8L-Analysis-Pipelines — dmmdea-hailo-8l-analysis-pipelines. Use this tool when you need to accelerate computer vision tasks, such as face detection, optical character recognition (OCR), and image embedding, on a Hailo-8L M.2 NPU with 100% on-device inference. It solves problems like improving OCR accuracy with Spanish-aware correction and measuring multi-phase OCR quality. The tool takes in visual data and outputs detected faces, recognized text, and image embeddings through a Linux-based interface.

Canonical page: https://skillsregistry.net/skills/dmmdea-hailo-8l-analysis-pipelines  
JSON: https://api.skillsregistry.net/v1/skills/dmmdea-hailo-8l-analysis-pipelines

## Description

Vision pipelines on a Hailo-8L M.2 NPU: MCP server (SCrFD face detect ~311 FPS, PaddleOCR v5, TinyCLIP embeddings), Spanish-aware OCR correction, measured multi-phase OCR quality program, and the Linux kernel VDMA stability patch. 100% on-device inference.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **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/dmmdea/Hailo-8L-Analysis-Pipelines)

## 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": "dmmdea-hailo-8l-analysis-pipelines"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmmdea-hailo-8l-analysis-pipelines` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmmdea-hailo-8l-analysis-pipelines/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