# Mjrovai/OpenCV-Face-Recognition

Real-time face recognition project with OpenCV and Python

Repository: https://github.com/Mjrovai/OpenCV-Face-Recognition
Canonical: https://ross.abutalabs.com/products/opencv-face-recognition
Language: Python
License Family: other
Last push: 2024-01-02T06:18:30+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3114, "days_push": 974, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1352, forks 1010 (observed 2026-08-28T04:04:28.519070+00:00)

## What it is
A real-time face recognition project built with OpenCV and Python, accompanied by end-to-end tutorials. It serves primarily as an educational example for building face recognition systems.

## Use cases
- build a real-time face recognition system with OpenCV
- learn face detection and recognition in Python
- follow a tutorial for an end-to-end face recognition project
- experiment with computer vision face identification
- create a Raspberry Pi face recognition project

## When to choose
- you want a hands-on tutorial-style project to learn OpenCV face recognition
- you need a simple starting point for real-time face recognition in Python

## When to avoid
- you need production-grade, actively maintained face recognition software
- you require a licensed library for commercial use (no license is provided)
- you need state-of-the-art accuracy from modern deep learning models

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, image-processing
- domain: computer-vision, machine-learning, education
- platform: python, cross-platform
- tags: face-recognition, opencv, tutorial, real-time, python, linux

## Member repositories
- Mjrovai/OpenCV-Face-Recognition (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:28.519070+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:42:08.065195+00:00, confidence not recorded.
  - readme: https://github.com/Mjrovai/OpenCV-Face-Recognition (fetched 2026-08-28T04:04:28.519070+00:00, sha ad2c26680398)
- Data as of 2026-08-30T08:39:29.467469+00:00.