# RedApparat/FaceDetector

Face detection for your Android app

Repository: https://github.com/RedApparat/FaceDetector
Canonical: https://ross.abutalabs.com/products/facedetector
Language: Java
License: Apache-2.0
License Family: permissive
Topics: android, camera, face-detection
Last push: 2018-03-02T23:33:57+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3348, "days_push": 3106, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1179, forks 198 (observed 2026-08-28T04:03:53.298624+00:00)

## What it is
An Android library that detects human faces in real time on camera preview streams, with a C++ core and simple integration via a frame processor. It pairs naturally with the Fotoapparat camera library but works with any camera source.

## Use cases
- detect faces in real time from an android camera preview
- overlay rectangles on detected faces in a camera view
- add face detection to an android app using fotoapparat
- process camera frames to find face positions
- build a face-tracking camera feature on android

## When to choose
- you need lightweight real-time face detection on android
- you already use Fotoapparat and want a frame processor
- you want a simple library API rather than a full ML stack

## When to avoid
- you need face recognition/identification, not just detection
- you target iOS or non-Android platforms
- you need actively maintained dependencies or recent updates

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, image-processing
- domain: computer-vision, mobile-development, android-tools
- platform: -
- tags: face-detection, camera, real-time, java, fotoapparat, android

## Member repositories
- RedApparat/FaceDetector (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:53.298624+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 2026-08-30T06:25:26.796505+00:00, confidence not recorded.
  - readme: https://github.com/RedApparat/FaceDetector (fetched 2026-08-28T04:03:53.298624+00:00, sha b2c58d5fb13f)
- Data as of 2026-08-30T08:39:29.467469+00:00.