1、在虹软的开发者中心创建一个自己的应用，将APP_ID与SDK_KEY记录下来，后面会用到。创建完后就可以下载SDK了。
2、下载完后，就可以根据SDK包里的开发说明文档和代码进行参考和学习。以下是开发说明文档中的SDK包结构的截图。
3、创建一个空项目，将SDK包里的.jar文件和.so文件复制到该项目的如下包下。接下来的配置十分重要，稍微没处理一个，就是一个头大的bug。
4、“在app里的build.gradle” 第一个红框原本是androidx的，与support是不兼容的，所以要改，因此，整个项目用到androidx的地方都需要改。第二个红框是ndk，加了这个才能找到刚才复制进去的.so文件。第三个红框也要改成如下。下面的dependencies要注意把androidx的改掉。
5、“在整个项目里的build.gradle” 记得加上jcenter()。
6、在gradle.properties里可能会有androidx的东西，也要删掉。
7、在AndroidManifest.xml中的中添加权限申请，在中添加。
manifest：
9、创建3个acvitity,一个是主界面，一个是人脸库的管理界面，一个是人脸识别功能界面。
10、layout包下需要引入以下5个布局文件。
11、主界面主要的功能就是激活权限、连接动态库和激活引擎，我通过修改onCreate()和util包下的ConfigUtil.class的代码，让其能够自动激活和自动修改为全方向人脸检查（其他选择好像不能够实现人脸识别）。以下是激活引擎的代码。
public void activeEngine(final View view) {if (!libraryExists) {Toast.makeText(this, "未找到库文件！", Toast.LENGTH_SHORT).show();return;}if (!checkPermissions(NEEDED_PERMISSIONS)) {ActivityCompat.requestPermissions(this, NEEDED_PERMISSIONS, ACTION_REQUEST_PERMISSIONS);return;}if (view != null) {view.setClickable(false);}Observable.create(new ObservableOnSubscribe
}
@Override public void onNext(Integer activeCode) {if (activeCode == ErrorInfo.MOK) {Toast.makeText(MainActivity.this, "激活成功！", Toast.LENGTH_SHORT).show();} else if (activeCode == ErrorInfo.MERR_ASF_ALREADY_ACTIVATED){Toast.makeText(MainActivity.this, "已激活！", Toast.LENGTH_SHORT).show();} else {Toast.makeText(MainActivity.this, "激活失败！", Toast.LENGTH_SHORT).show();}
if (view != null) {view.setClickable(true);}ActiveFileInfo activeFileInfo = new ActiveFileInfo();}
@Override public void onError(Throwable e) {Toast.makeText(MainActivity.this, e.getMessage(), Toast.LENGTH_SHORT).show();if (view != null) {view.setClickable(true);}}
@Override public void onComplete() {
}});
}12、人脸识别界面是最复杂的。其中不仅有人脸识别的功能，还有注册人脸和活体检测的功能。
通过手机自带的摄像头来实现人脸识别和活体检测的逻辑：private void initCamera() {DisplayMetrics metrics = new DisplayMetrics();getWindowManager().getDefaultDisplay().getMetrics(metrics);
final FaceListener faceListener = new FaceListener() {@Override public void onFail(Exception e) {Log.e(TAG, "onFail: " + e.getMessage());}
//请求FR的回调@Override public void onFaceFeatureInfoGet(@Nullable final FaceFeature faceFeature, final Integer requestId, final Integer errorCode) {//FR成功if (faceFeature != null) {// Log.i(TAG, "onPreview: fr end = " + System.currentTimeMillis() + " trackId = " + requestId);Integer liveness = livenessMap.get(requestId);//不做活体检测的情况，直接搜索if (!livenessDetect) {searchFace(faceFeature, requestId);}//活体检测通过，搜索特征else if (liveness != null && liveness == LivenessInfo.ALIVE) {searchFace(faceFeature, requestId);}//活体检测未出结果，或者非活体，延迟执行该函数else {if (requestFeatureStatusMap.containsKey(requestId)) {Observable.timer(WAIT_LIVENESS_INTERVAL, TimeUnit.MILLISECONDS).subscribe(new Observer
@Override public void onSubscribe(Disposable d) {disposable = d;getFeatureDelayedDisposables.add(disposable);}
@Override public void onNext(Long aLong) {onFaceFeatureInfoGet(faceFeature, requestId, errorCode);}
@Override public void onError(Throwable e) {
}
@Override public void onComplete() {getFeatureDelayedDisposables.remove(disposable);}});}}
}//特征提取失败else {if (increaseAndGetValue(extractErrorRetryMap, requestId) > MAX_RETRY_TIME) {extractErrorRetryMap.put(requestId, 0);
String msg;// 传入的FaceInfo在指定的图像上无法解析人脸，此处使用的是RGB人脸数据，一般是人脸模糊if (errorCode != null && errorCode == ErrorInfo.MERR_FSDK_FACEFEATURE_LOW_CONFIDENCE_LEVEL) {msg = "人脸置信度低！";} else {msg = "ExtractCode:" + errorCode;}faceHelper.setName(requestId, "未通过！");// 在尝试最大次数后，特征提取仍然失败，则认为识别未通过requestFeatureStatusMap.put(requestId, RequestFeatureStatus.FAILED);retryRecognizeDelayed(requestId);} else {requestFeatureStatusMap.put(requestId, RequestFeatureStatus.TO_RETRY);}}}
@Override public void onFaceLivenessInfoGet(@Nullable LivenessInfo livenessInfo, final Integer requestId, Integer errorCode) {if (livenessInfo != null) {int liveness = livenessInfo.getLiveness();livenessMap.put(requestId, liveness);// 非活体，重试if (liveness == LivenessInfo.NOT_ALIVE) {faceHelper.setName(requestId, "未通过！非活体！");// 延迟 FAIL_RETRY_INTERVAL 后，将该人脸状态置为UNKNOWN，帧回调处理时会重新进行活体检测retryLivenessDetectDelayed(requestId);}} else {if (increaseAndGetValue(livenessErrorRetryMap, requestId) > MAX_RETRY_TIME) {livenessErrorRetryMap.put(requestId, 0);String msg;// 传入的FaceInfo在指定的图像上无法解析人脸，此处使用的是RGB人脸数据，一般是人脸模糊if (errorCode != null && errorCode == ErrorInfo.MERR_FSDK_FACEFEATURE_LOW_CONFIDENCE_LEVEL) {msg = "人脸置信度低！";} else {msg = "ProcessCode:" + errorCode;}faceHelper.setName(requestId, "未通过！");retryLivenessDetectDelayed(requestId);} else {livenessMap.put(requestId, LivenessInfo.UNKNOWN);}}}
};
CameraListener cameraListener = new CameraListener() {@Override public void onCameraOpened(Camera camera, int cameraId, int displayOrientation, boolean isMirror) {Camera.Size lastPreviewSize = previewSize;previewSize = camera.getParameters().getPreviewSize();drawHelper = new DrawHelper(previewSize.width, previewSize.height, previewView.getWidth(), previewView.getHeight(), displayOrientation, cameraId, isMirror, false, false);Log.i(TAG, "onCameraOpened: " + drawHelper.toString());// 切换相机的时候可能会导致预览尺寸发生变化if (faceHelper == null ||lastPreviewSize == null ||lastPreviewSize.width != previewSize.width || lastPreviewSize.height != previewSize.height) {Integer trackedFaceCount = null;// 记录切换时的人脸序号if (faceHelper != null) {trackedFaceCount = faceHelper.getTrackedFaceCount();faceHelper.release();}faceHelper = new FaceHelper.Builder().ftEngine(ftEngine).frEngine(frEngine).flEngine(flEngine).frQueueSize(MAX_DETECT_NUM).flQueueSize(MAX_DETECT_NUM).previewSize(previewSize).faceListener(faceListener).trackedFaceCount(trackedFaceCount == null ? ConfigUtil.getTrackedFaceCount(FaceRegisterAndRecognise.this.getApplicationContext()) : trackedFaceCount).build();}}
@Override public void onPreview(final byte[] nv21, Camera camera) {if (faceRectView != null) {faceRectView.clearFaceInfo();}List
if (facePreviewInfoList != null && facePreviewInfoList.size() > 0 && previewSize != null) {for (int i = 0; i < facePreviewInfoList.size(); i++) {Integer status = requestFeatureStatusMap.get(facePreviewInfoList.get(i).getTrackId());/*** 在活体检测开启，在人脸识别状态不为成功或人脸活体状态不为处理中（ANALYZING）且不为处理完成（ALIVE、NOT_ALIVE）时重新进行活体检测*/ if (livenessDetect && (status == null || status != RequestFeatureStatus.SUCCEED)) {Integer liveness = livenessMap.get(facePreviewInfoList.get(i).getTrackId());if (liveness == null|| (liveness != LivenessInfo.ALIVE && liveness != LivenessInfo.NOT_ALIVE && liveness != RequestLivenessStatus.ANALYZING)) {livenessMap.put(facePreviewInfoList.get(i).getTrackId(), RequestLivenessStatus.ANALYZING);faceHelper.requestFaceLiveness(nv21, facePreviewInfoList.get(i).getFaceInfo(), previewSize.width, previewSize.height, FaceEngine.CP_PAF_NV21, facePreviewInfoList.get(i).getTrackId(), LivenessType.RGB);}}/*** 对于每个人脸，若状态为空或者为失败，则请求特征提取（可根据需要添加其他判断以限制特征提取次数），* 特征提取回传的人脸特征结果在{@link FaceListener#onFaceFeatureInfoGet(FaceFeature, Integer, Integer)}中回传*/ if (status == null|| status == RequestFeatureStatus.TO_RETRY) {requestFeatureStatusMap.put(facePreviewInfoList.get(i).getTrackId(), RequestFeatureStatus.SEARCHING);faceHelper.requestFaceFeature(nv21, facePreviewInfoList.get(i).getFaceInfo(), previewSize.width, previewSize.height, FaceEngine.CP_PAF_NV21, facePreviewInfoList.get(i).getTrackId());// Log.i(TAG, "onPreview: fr start = " + System.currentTimeMillis() + " trackId = " + facePreviewInfoList.get(i).getTrackedFaceCount());}}}}
@Override public void onCameraClosed() {Log.i(TAG, "onCameraClosed: ");}
@Override public void onCameraError(Exception e) {Log.i(TAG, "onCameraError: " + e.getMessage());}
@Override public void onCameraConfigurationChanged(int cameraID, int displayOrientation) {if (drawHelper != null) {drawHelper.setCameraDisplayOrientation(displayOrientation);}Log.i(TAG, "onCameraConfigurationChanged: " + cameraID + " " + displayOrientation);}};
cameraHelper = new CameraHelper.Builder().previewViewSize(new Point(previewView.getMeasuredWidth(), previewView.getMeasuredHeight())).rotation(getWindowManager().getDefaultDisplay().getRotation()).specificCameraId(rgbCameraID != null ? rgbCameraID : Camera.CameraInfo.CAMERA_FACING_FRONT).isMirror(false).previewOn(previewView).cameraListener(cameraListener).build();cameraHelper.init();cameraHelper.start();}
注册人脸的逻辑：
private void registerFace(final byte[] nv21, final List
boolean success = FaceServer.getInstance().registerNv21(FaceRegisterAndRecognise.this, nv21.clone(), previewSize.width, previewSize.height,facePreviewInfoList.get(0).getFaceInfo(), "registered " + faceHelper.getTrackedFaceCount());emitter.onNext(success);}}).subscribeOn(Schedulers.computation()).observeOn(AndroidSchedulers.mainThread()).subscribe(new Observer
}
@Override public void onNext(Boolean success) {String result = success ? "register success!" : "register failed!";showToast(result);registerStatus = REGISTER_STATUS_DONE;}
@Override public void onError(Throwable e) {e.printStackTrace();showToast("register failed!");registerStatus = REGISTER_STATUS_DONE;}
@Override public void onComplete() {
}});}}
13、人脸库的管理界面。
public class FaceLibs extends BaseActivity {private ExecutorService executorService;private TextView textView;
private TextView tvNotificationRegisterResult;
ProgressDialog progressDialog = null;private static final int ACTION_REQUEST_PERMISSIONS = 0x001;private static String[] NEEDED_PERMISSIONS = new String[]{Manifest.permission.READ_EXTERNAL_STORAGE,Manifest.permission.WRITE_EXTERNAL_STORAGE};
@Override protected void onCreate(Bundle savedInstanceState) {super.onCreate(savedInstanceState);setContentView(R.layout.activity_face_libs);getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);executorService = Executors.newSingleThreadExecutor();tvNotificationRegisterResult = findViewById(R.id.notification_register_result);progressDialog = new ProgressDialog(this);int faceLibNum = FaceServer.getInstance().getFaceNumber(this);textView = findViewById(R.id.number);textView.setText(faceLibNum + "");FaceServer.getInstance().init(this);}
@Override protected void onDestroy() {if (executorService != null && !executorService.isShutdown()) {executorService.shutdownNow();}if (progressDialog != null && progressDialog.isShowing()) {progressDialog.dismiss();}
FaceServer.getInstance().unInit();super.onDestroy();}
@Override void afterRequestPermission(int requestCode, boolean isAllGranted) {
}
public void clearFaces(View view) {int faceNum = FaceServer.getInstance().getFaceNumber(this);if (faceNum == 0) {showToast("人脸库已空！");} else {AlertDialog dialog = new AlertDialog.Builder(this).setTitle("通知").setMessage("确定要删除" + faceNum + "个人脸吗？").setPositiveButton("确定", new DialogInterface.OnClickListener() {@Override public void onClick(DialogInterface dialog, int which) {int deleteCount = FaceServer.getInstance().clearAllFaces(FaceLibs.this);showToast(deleteCount + "个人脸已删除！");textView.setText("0");}}).setNegativeButton("取消", null).create();dialog.show();}}}14、以上就是大体的介绍，还有一些小的细枝末节需要同志们动手实操一下。下面就来看看实现的效果。
主界面：
注册成功并通过识别：
通过手机照片识别出不是活体：
清理人脸库：
以上就是Android基于虹软(ArcSoft)实现人脸识别的详细内容，更多关于Android人脸识别的资料请关注脚本之家其它相关文章！
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