# kongqw/OpenCVForAndroid

目标检测&目标追踪&人脸检测&人脸识别

Repository: https://github.com/kongqw/OpenCVForAndroid
Canonical: https://ross.abutalabs.com/products/opencvforandroid
Homepage: http://kongqw.com/2016/09/09/2016-09-09-OpenCV-JavaCV实现人脸识别/
Language: Java
License Family: other
Topics: opencv4android, facedetect, opencv, android
Last push: 2018-01-05T02:40:14+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3645, "days_push": 3162, "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 2228, forks 636 (observed 2026-08-28T04:06:28.897798+00:00)

## What it is
An Android sample library built on OpenCV 3.2.0 demonstrating object detection (face, eyes, smile, body), object tracking with the CamShift algorithm, and face recognition. It is a Java-based demo project requiring OpenCV Manager on Android.

## Use cases
- detect faces in android camera feed
- track objects with camshift on android
- android opencv face detection example
- detect eyes and smiles in images on android
- compare faces for recognition on android

## When to choose
- you need a working Android example of OpenCV-based face detection or CamShift tracking
- you are learning OpenCV integration on Android with Java

## When to avoid
- you need a maintained library or recent OpenCV support (last release 2018)
- you need production-grade detection or modern ML-based face recognition
- you need a license-compliant dependency (no license provided)

## Facets
- artifact type: library
- maturity: abandoned
- function: computer-vision, image-processing
- domain: computer-vision, android-tools, machine-learning
- platform: jvm
- tags: opencv, face-detection, object-detection, object-tracking, camshift, face-recognition, sample-project, android, mobile

## Member repositories
- kongqw/OpenCVForAndroid (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:28.897798+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 2026-08-30T02:44:42.493523+00:00, confidence not recorded.
  - readme: https://github.com/kongqw/OpenCVForAndroid (fetched 2026-08-28T04:06:28.897798+00:00, sha fe61a41a10b2)
- Data as of 2026-08-30T08:39:29.467469+00:00.