---
name: "@krave-docs"
slug: "krave-docs"
description: "A professional collection of reusable, real-time computer vision components powered by MediaPipe"
category: "Uncategorized"
tags: []
framework: "react"
license: null
author: "daveancheta"
website: "https://computer-vision-mediapipe.vercel.app"
github: "https://github.com/daveancheta/Computer-Vision-Mediapipe"
registry: "https://computer-vision-mediapipe.vercel.app/r/registry.json"
pro: false
pro_url: null
github_stars: 0
component_count: 2
generated_at: "2026-10-17T06:30:14.294Z"
---

# @krave-docs

A professional collection of reusable, real-time computer vision components powered by MediaPipe

## Links

- Website: https://computer-vision-mediapipe.vercel.app
- GitHub: https://github.com/daveancheta/Computer-Vision-Mediapipe
- Registry JSON: https://computer-vision-mediapipe.vercel.app/r/registry.json
- Directory page: https://sh4dcn.vercel.app/registry/krave-docs
- This file: https://sh4dcn.vercel.app/md/krave-docs.md

## Install

```sh
# add the whole registry (shadcn CLI)
npx shadcn@latest add https://computer-vision-mediapipe.vercel.app/r/registry.json
pnpm dlx shadcn@latest add https://computer-vision-mediapipe.vercel.app/r/registry.json
bunx shadcn@latest add https://computer-vision-mediapipe.vercel.app/r/registry.json
# clone the source repo
git clone https://github.com/daveancheta/Computer-Vision-Mediapipe.git
# fetch the raw registry index
curl -s https://computer-vision-mediapipe.vercel.app/r/registry.json
```

## Components (2)

| name | type | description | install |
| --- | --- | --- | --- |
| face-detection | registry:ui | Face detection using MediaPipe Tasks Vision. | `npx shadcn@latest add https://computer-vision-mediapipe.vercel.app/r/face-detection.json` |
| hand-land-mark | registry:ui | Hand Land Mark using MediaPipe Tasks Vision. | `npx shadcn@latest add https://computer-vision-mediapipe.vercel.app/r/hand-land-mark.json` |

## For AI agents

```text
You are adding components from @krave-docs to a shadcn-compatible project.
1. Read this file (https://sh4dcn.vercel.app/md/krave-docs.md) for the component list.
2. Fetch the machine-readable index: https://computer-vision-mediapipe.vercel.app/r/registry.json
3. Install a single component with its install command from the table above.
4. Full structured record: https://sh4dcn.vercel.app/json (library slug: krave-docs).
```