RedApparat/FaceDetector
Face detection for your Android app observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3348
- days_rel: n/a
- days_push: 3106
- n_releases_24m: 0
Adoption not part of the score
1179 stars · 198 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity maintenance
computer-vision image-processing computer-vision mobile-development android-tools face-detection camera real-time java fotoapparat android
1 source
- readme: https://github.com/RedApparat/FaceDetector · fetched 2026-08-28 · b2c58d5fb13f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| RedApparat/FaceDetector | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="RedApparat/FaceDetector")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem