基于虹软人脸识别，开发实现vip迎宾系统
2021-08-05 14:10 码仔很忙 阅读(622) 评论(0) 编辑 收藏 举报应用场景:
将标记的人脸信息,通过虹软sdk实现人脸识别,将识别到的结果发送到android客户端,通知业务人员,从而第一时间获取客户信息,可以用迎宾系统,商超特殊人员通知系统等.
效果图如下:
功能点
人脸识别
人脸底库批量入库
视频或摄像头人脸识别功能
Android端实时接收人脸信息
Android语音播报人脸信息
开发工具
IDEA
Android Studio
Navicat for mysql
Maven
技术架构
windows 10
java 8 win_x64
spring boot
mysql 5.7+
android
虹软人脸识别sdk增值版 java 4.0
运行须知
1.下载源码,源码地址:https://gitee.com/x55admin/ArcSoftFaceDemo
其中
ArcSoftFaceServer -服务器端源码
AndroidFaceClient -Android客户端源码
idea打开服务器端源码并通过maven 下载所需要的库文件,
Android Studio打开客户端源码
2.在mysql中创建arc_face_base 数据库,数据库编码为utf8mb4, 将服务器端源码ArcSoftFaceServer的doc目录中user_face_info.sql的内容导入到数据库arc_face_base中,生成user_face_info表
2.到虹软官网http://ai.arcsoft.com.cn/ 免费申请下载虹软人脸识别增值版 java 4.0 SDK,增值版支持试用,
按引导操作,申请并下载ArcSoft_ArcFacePro_windows_x64_java_V4.0 其中libs/WIN64文件夹下包含
libarcsoft_face.dll
libarcsoft_face_engine.dll
libarcsoft_face_engine_jni.dll
注意区分X86和X64，和当前jdk版本一致。
3.将服务器端源码,更改为自己的配置信息,首先更改修改配置文件src\main\resources\application.properties
配置如下内容
config.arcface-sdk.sdk-lib-path -人脸识别引擎库存放路径(即为ArcSoft_ArcFacePro_windows_x64_java_V4.0\libs\WIN64的绝对路径)
config.arcface-sdk.base-image-path -人脸底库图片存放绝对路径
config.arcface-sdk.jar-path -人脸库jar包存放路径(ArcSoftFaceServer\lib的绝对路径)
config.arcface-sdk.app-id -虹软申请试用SDK的APP_ID
config.arcface-sdk.sdk-key -虹软申请试用SDK的SDK_KEY
config.arcface-sdk.active-key -虹软申请试用SDK的Active_Key
spring.datasource.druid.url -数据库连接
spring.datasource.druid.username -数据库用户名
spring.datasource.druid.password -数据库密码
可以用com.itboyst.facedemo.FaceEngineTest测试SDK是否能正常运行
package com.itboyst.facedemo;
import com.arcsoft.face.*;
import com.arcsoft.face.enums.DetectMode;
import com.arcsoft.face.enums.DetectModel;
import com.arcsoft.face.enums.DetectOrient;
import com.arcsoft.face.enums.ExtractType;
import com.arcsoft.face.toolkit.ImageFactory;
import com.arcsoft.face.toolkit.ImageInfo;
import com.arcsoft.face.toolkit.ImageInfoEx;
import com.itboyst.facedemo.util.ShowVideo;
import java.io.File;
import java.io.UnsupportedEncodingException;
import java.util.ArrayList;
import java.util.List;
import static com.itboyst.facedemo.util.ShowVideo.getProperties;
public class FaceEngineTest {
public static void main(String[] args) {
//激活码，从官网获取
String appId = getProperties("application.properties", "config.arcface-sdk.app-id");
String sdkKey = getProperties("application.properties", "config.arcface-sdk.sdk-key");
String activeKey = getProperties("application.properties", "config.arcface-sdk.active-key");
System.err.println("注意，如果返回的errorCode不为0，可查看com.arcsoft.face.enums.ErrorInfo类获取相应的错误信息");
//获取properties中配置信息
String sdkLibPath = getProperties("application.properties", "config.arcface-sdk.sdk-lib-path");
System.out.println("------------------" + sdkLibPath);
//人脸识别引擎库存放路径
FaceEngine faceEngine = new FaceEngine(sdkLibPath);
//激活引擎
int errorCode = faceEngine.activeOnline(appId, sdkKey, activeKey);
System.out.println("引擎激活errorCode:" + errorCode);
ActiveDeviceInfo activeDeviceInfo = new ActiveDeviceInfo();
//采集设备信息（可离线）
errorCode = faceEngine.getActiveDeviceInfo(activeDeviceInfo);
System.out.println("采集设备信息errorCode:" + errorCode);
System.out.println("设备信息:"+activeDeviceInfo.getDeviceInfo());
//faceEngine.activeOffline("d:\\ArcFacePro64.dat.offline");
//ActiveFileInfo activeFileInfo = new ActiveFileInfo();
//errorCode = faceEngine.getActiveFileInfo(activeFileInfo);
//System.out.println("获取激活文件errorCode:" + errorCode);
//System.out.println("激活文件信息:" + activeFileInfo.toString());
//引擎配置
EngineConfiguration engineConfiguration = new EngineConfiguration();
engineConfiguration.setDetectMode(DetectMode.ASF_DETECT_MODE_IMAGE);
engineConfiguration.setDetectFaceOrientPriority(DetectOrient.ASF_OP_ALL_OUT);
engineConfiguration.setDetectFaceMaxNum(10);
//功能配置
FunctionConfiguration functionConfiguration = new FunctionConfiguration();
functionConfiguration.setSupportAge(true);
functionConfiguration.setSupportFace3dAngle(true);
functionConfiguration.setSupportFaceDetect(true);
functionConfiguration.setSupportFaceRecognition(true);
functionConfiguration.setSupportGender(true);
functionConfiguration.setSupportLiveness(true);
functionConfiguration.setSupportIRLiveness(true);
functionConfiguration.setSupportImageQuality(true);
functionConfiguration.setSupportMaskDetect(true);
functionConfiguration.setSupportFaceLandmark(true);
functionConfiguration.setSupportUpdateFaceData(true);
functionConfiguration.setSupportFaceShelter(true);
engineConfiguration.setFunctionConfiguration(functionConfiguration);
//初始化引擎
errorCode = faceEngine.init(engineConfiguration);
System.out.println("初始化引擎errorCode:" + errorCode);
//人脸检测
ImageInfo imageInfo = ImageFactory.getRGBData(new File("C:\\ArcSoftFaceDemo\\ArcSoftFaceServer\\img\\2.jpg"));
List<FaceInfo> faceInfoList = new ArrayList<FaceInfo>();
errorCode = faceEngine.detectFaces(imageInfo, faceInfoList);
System.out.println("人脸检测errorCode:" + errorCode);
System.out.println("检测到人脸数:" + faceInfoList.size());
ImageQuality imageQuality = new ImageQuality();
errorCode = faceEngine.imageQualityDetect(imageInfo, faceInfoList.get(0),0, imageQuality);
System.out.println("图像质量检测errorCode:" + errorCode);
System.out.println("图像质量分数:" + imageQuality.getFaceQuality());
//特征提取
FaceFeature faceFeature = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfo, faceInfoList.get(0), ExtractType.REGISTER,0, faceFeature);
System.out.println("特征提取errorCode:" + errorCode);
//人脸检测2
ImageInfo imageInfo2 = ImageFactory.getRGBData(new File("C:\\ArcSoftFaceDemo\\ArcSoftFaceServer\\img\\1.jpg"));
List<FaceInfo> faceInfoList2 = new ArrayList<FaceInfo>();
errorCode = faceEngine.detectFaces(imageInfo2, faceInfoList2);
System.out.println("人脸检测errorCode:" + errorCode);
System.out.println("检测到人脸数:" + faceInfoList.size());
//特征提取2
FaceFeature faceFeature2 = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfo2, faceInfoList.get(0), ExtractType.REGISTER,0, faceFeature);
System.out.println("特征提取errorCode:" + errorCode);
//特征比对
FaceFeature targetFaceFeature = new FaceFeature();
targetFaceFeature.setFeatureData(faceFeature.getFeatureData());
FaceFeature sourceFaceFeature = new FaceFeature();
sourceFaceFeature.setFeatureData(faceFeature2.getFeatureData());
FaceSimilar faceSimilar = new FaceSimilar();
errorCode = faceEngine.compareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);
System.out.println("特征比对errorCode:" + errorCode);
System.out.println("人脸相似度：" + faceSimilar.getScore());
//人脸属性检测
FunctionConfiguration configuration = new FunctionConfiguration();
configuration.setSupportAge(true);
configuration.setSupportFace3dAngle(true);
configuration.setSupportGender(true);
configuration.setSupportLiveness(true);
configuration.setSupportMaskDetect(true);
configuration.setSupportFaceLandmark(true);
errorCode = faceEngine.process(imageInfo, faceInfoList, configuration);
System.out.println("图像属性处理errorCode:" + errorCode);
//性别检测
List<GenderInfo> genderInfoList = new ArrayList<GenderInfo>();
errorCode = faceEngine.getGender(genderInfoList);
System.out.println("性别：" + genderInfoList.get(0).getGender());
//年龄检测
List<AgeInfo> ageInfoList = new ArrayList<AgeInfo>();
errorCode = faceEngine.getAge(ageInfoList);
System.out.println("年龄：" + ageInfoList.get(0).getAge());
//3D信息检测
List<Face3DAngle> face3DAngleList = new ArrayList<Face3DAngle>();
errorCode = faceEngine.getFace3DAngle(face3DAngleList);
System.out.println("3D角度：" + face3DAngleList.get(0).getPitch() + "," + face3DAngleList.get(0).getRoll() + "," + face3DAngleList.get(0).getYaw());
//活体检测
List<LivenessInfo> livenessInfoList = new ArrayList<LivenessInfo>();
errorCode = faceEngine.getLiveness(livenessInfoList);
System.out.println("活体：" + livenessInfoList.get(0).getLiveness());
//Landmark检测
List<LandmarkInfo> landmarkInfoList = new ArrayList<LandmarkInfo>();
errorCode = faceEngine.getLandmark(landmarkInfoList);
System.out.println("Landmark：" + landmarkInfoList.get(0).getLandmarks()[0].getX());
//口罩检测
List<MaskInfo> maskInfoList = new ArrayList<MaskInfo>();
errorCode = faceEngine.getMask(maskInfoList);
System.out.println("口罩：" + maskInfoList.get(0).getMask());
//IR属性处理
ImageInfo imageInfoGray = ImageFactory.getGrayData(new File("C:\\ArcSoftFaceDemo\\ArcSoftFaceServer\\img\\3.jpg"));
List<FaceInfo> faceInfoListGray = new ArrayList<FaceInfo>();
errorCode = faceEngine.detectFaces(imageInfoGray, faceInfoListGray);
FunctionConfiguration configuration2 = new FunctionConfiguration();
configuration2.setSupportIRLiveness(true);
errorCode = faceEngine.processIr(imageInfoGray, faceInfoListGray, configuration2);
//IR活体检测
List<IrLivenessInfo> irLivenessInfo = new ArrayList();
errorCode = faceEngine.getLivenessIr(irLivenessInfo);
System.out.println("IR活体：" + irLivenessInfo.get(0).getLiveness());
//获取激活文件信息
ActiveFileInfo activeFileInfo2 = new ActiveFileInfo();
errorCode = faceEngine.getActiveFileInfo(activeFileInfo2);
//更新人脸数据
errorCode = faceEngine.updateFaceData(imageInfo, faceInfoList);
//高级人脸图像处理接口
ImageInfoEx imageInfoEx = new ImageInfoEx();
imageInfoEx.setHeight(imageInfo.getHeight());
imageInfoEx.setWidth(imageInfo.getWidth());
imageInfoEx.setImageFormat(imageInfo.getImageFormat());
imageInfoEx.setImageDataPlanes(new byte[][]{imageInfo.getImageData()});
imageInfoEx.setImageStrides(new int[]{imageInfo.getWidth() * 3});
List<FaceInfo> faceInfoList1 = new ArrayList();
errorCode = faceEngine.detectFaces(imageInfoEx, DetectModel.ASF_DETECT_MODEL_RGB, faceInfoList1);
ImageQuality imageQuality1=new ImageQuality();
errorCode = faceEngine.imageQualityDetect(imageInfoEx, faceInfoList1.get(0),0, imageQuality1);
FunctionConfiguration fun = new FunctionConfiguration();
fun.setSupportAge(true);
errorCode = faceEngine.process(imageInfoEx, faceInfoList1, fun);
List<AgeInfo> ageInfoList1 = new ArrayList();
int age = faceEngine.getAge(ageInfoList1);
FaceFeature feature = new FaceFeature();
errorCode = faceEngine.extractFaceFeature(imageInfoEx, faceInfoList1.get(0), ExtractType.REGISTER,0,feature);
errorCode = faceEngine.updateFaceData(imageInfoEx,faceInfoList1);
//设置活体测试
errorCode = faceEngine.setLivenessParam(0.5f, 0.7f);
System.out.println("设置活体活体阈值errorCode:" + errorCode);
errorCode=faceEngine.setFaceShelterParam(0.8f);
System.out.println("设置设置人脸遮挡阈值errorCode:" + errorCode);
//引擎卸载
errorCode = faceEngine.unInit();
}
}
运行人脸识别服务器端程序
正常入库后就可以通过com.itboyst.facedemo.Application 启动项目,项目启动后在浏览器中 打开http://127.0.0.1:8099/ 访问项目
运行结果如下证明启动成功
人脸底库批量入库
运行com.itboyst.facedemo.FaceBatchAddTest的faceBatchAdd方法可以将目前已存在的人脸批量入库,非必要步骤,如果没用批量要入库的人脸信息略过此步骤
源码如下:
package com.itboyst.facedemo;
import cn.hutool.core.collection.CollectionUtil;
import cn.hutool.core.util.RandomUtil;
import com.arcsoft.face.FaceInfo;
import com.arcsoft.face.toolkit.ImageFactory;
import com.arcsoft.face.toolkit.ImageInfo;
import com.itboyst.facedemo.dto.FaceDetectResDTO;
import com.itboyst.facedemo.entity.UserFaceInfo;
import com.itboyst.facedemo.service.FaceEngineService;
import com.itboyst.facedemo.service.UserFaceInfoService;
import com.itboyst.facedemo.util.ShowVideo;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import static com.itboyst.facedemo.util.ImageUtil.getImgInfo;
@RunWith(SpringRunner.class)
@SpringBootTest
public class FaceBatchAddTest {
@Autowired
UserFaceInfoService userFaceInfoService;
@Autowired
FaceEngineService faceEngineService;
@Test
public void faceBatchAdd() {
int errorCode;
int baseImgCount = 0;
String baseImagePath = ShowVideo.getProperties("application.properties", "config.arcface-sdk.base-image-path");
System.out.println("------------------" + baseImagePath);
//人脸特征获取
Map<String, File> imgInfo = getImgInfo(baseImagePath);
for (Map.Entry<String, File> entry : imgInfo.entrySet()) {
String name = entry.getKey();
File file = entry.getValue();
try {
BufferedImage bufferedImage = ImageIO.read(file);
//加载人脸底库
ImageInfo rgbData = ImageFactory.getRGBData(file);
List<FaceDetectResDTO> faceDetectResDTOS = faceEngineService.detectFacesByAdd(bufferedImage);
if (CollectionUtil.isNotEmpty(faceDetectResDTOS) && faceDetectResDTOS.size() > 0) {
List<FaceInfo> faceInfoList = new ArrayList<>();
for (FaceDetectResDTO faceDetectResDTO : faceDetectResDTOS) {
FaceInfo faceInfo = new FaceInfo();
faceInfo.setRect(faceDetectResDTO.getRect());
faceInfo.setFaceId(faceDetectResDTO.getFaceId());
faceInfo.setOrient(faceDetectResDTO.getOrient());
faceInfo.setWearGlasses(faceDetectResDTO.getWearGlasses());
faceInfo.setLeftEyeClosed(faceDetectResDTO.getLeftEyeClosed());
faceInfo.setRightEyeClosed(faceDetectResDTO.getRightEyeClosed());
faceInfo.setFaceShelter(faceDetectResDTO.getFaceShelter());
faceInfo.setFaceData(faceDetectResDTO.getFaceData());
faceInfoList.add(faceInfo);
}
byte[] feature = faceEngineService.extractFaceFeature(rgbData, faceInfoList.get(0));
UserFaceInfo userFaceInfo = new UserFaceInfo();
userFaceInfo.setName(name);
userFaceInfo.setGroupId(101);
userFaceInfo.setFaceFeature(feature);
userFaceInfo.setBaseImgPath(faceDetectResDTOS.get(0).getBaseImgPath());
userFaceInfo.setFaceId(RandomUtil.randomInt(1000000));
//人脸特征插入到数据库
userFaceInfoService.insertSelective(userFaceInfo);
}
baseImgCount++;
System.out.println("baseFeats:" + baseImgCount + "/" + imgInfo.size());
} catch (IOException e) {
e.printStackTrace();
}
}
}
}
底库样式如下
运行后可在数据库查看人脸信息是否入库
单人脸独立注册
如上图所示填写人名上传单个人脸正面照片,就可入库了.
上传图片进行人脸识别
如下图所示,上传照片就可以识别人脸信息并用红框标注出来
Android客户端部署
git下载anroid源码,在android studio中打开项目并编译部署到手机上,
源码截图如下:
运行效果如下:
192.168.1.3位置为服务器端ip,此处改为自己的服务器ip, 此处用户名密码都为1,然后点击登录,如果正常进入下个界面就可以接收人脸识别结果了
如果登录不成功
1.检查服务器ip是否为服务器ip,
2.服务器上的spring boot项目是否正常启动,
3.服务器防火墙是否打开8888端口.**
登录成功截图如下
登录成功后就可以通过下图位置上传照片就可以在android接收到人脸识别的信息了,还可以听到声音
视频或摄像头人脸识别功能
源码如下:com.itboyst.facedemo.OpencvTest
package com.itboyst.facedemo;
import cn.hutool.core.collection.CollectionUtil;
import com.arcsoft.face.FaceInfo;
import com.arcsoft.face.Rect;
import com.arcsoft.face.toolkit.ImageInfo;
import com.google.common.collect.Lists;
import com.itboyst.facedemo.dto.FaceDetectResDTO;
import com.itboyst.facedemo.dto.ProcessInfo;
import com.itboyst.facedemo.dto.UserCompareInfo;
import com.itboyst.facedemo.service.FaceEngineService;
import com.itboyst.facedemo.service.UserFaceInfoService;
import com.itboyst.facedemo.util.ImageGUI;
import com.itboyst.facedemo.util.ImageUtil;
import com.itboyst.facedemo.util.ShowVideo;
import com.itboyst.facedemo.util.UserRamCache;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.videoio.VideoCapture;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.util.List;
import static com.arcsoft.face.toolkit.ImageFactory.bufferedImage2ImageInfo;
@RunWith(SpringRunner.class)
@SpringBootTest
public class OpencvTest {
@Autowired
UserFaceInfoService userFaceInfoService;
@Autowired
FaceEngineService faceEngineService;
@Test
public void testOpencv() {
String baseLibPath = ShowVideo.getProperties("application.properties", "config.arcface-sdk.jar-path");
System.load(baseLibPath + "opencv_java320.dll");
System.load(baseLibPath + "opencv_ffmpeg320_64.dll");
System.load(baseLibPath + "opencv_world320.dll");
// 打开摄像头或者视频文件
// device为0默认打开笔记本电脑自带摄像头，若为0打不开外置usb摄像头
// 请把device修改为1或2再重试，1，或2为usb插上电脑后，电脑认可的usb设备id
VideoCapture capture = new VideoCapture();
//capture.open(0);
capture.open("C:\\ArcSoftFaceDemo\\ArcSoftFaceServer\\img\\vip2.mp4");
if (!capture.isOpened()) {
System.out.println("could not load video data...");
return;
}
int frameWidth = (int) capture.get(3);
//int frameWidth = 720;
int frameHeight = (int) capture.get(4);
//int frameHeight = 480;
ImageGUI gui = new ImageGUI();
gui.createWin("camera", new Dimension(frameWidth, frameHeight));
Mat frame = new Mat();
List<FaceDetectResDTO> faceDetectResDTOS = Lists.newLinkedList();
int index = 0;
while (true) {
boolean have = capture.read(frame);
// Win上摄像头
Core.flip(frame, frame, 1);
if (!have) {
break;
}
if (!frame.empty()) {
BufferedImage bufferedImage = ImageUtil.mat2BufImg(frame, ".jpg");
if (bufferedImage != null) {
//视频转换为图片
long start = System.currentTimeMillis();
ImageInfo videoImageInfo = bufferedImage2ImageInfo(bufferedImage);
//特征视频图片提取
List<FaceInfo> videoFaceInfoList = faceEngineService.detectFaces(videoImageInfo);
List<ProcessInfo> process = faceEngineService.process(videoImageInfo, videoFaceInfoList);
if (videoFaceInfoList!=null && videoFaceInfoList.size() > 0) {
index++;
if (index >= 5) {
//特征比对
faceDetectResDTOS.clear();
for (int i = 0; i < videoFaceInfoList.size(); i++) {
FaceDetectResDTO faceDetectResDTO = new FaceDetectResDTO();
FaceInfo faceInfo = videoFaceInfoList.get(i);
faceDetectResDTO.setRect(faceInfo.getRect());
faceDetectResDTO.setFaceId(faceInfo.getFaceId());
faceDetectResDTO.setOrient(faceInfo.getOrient());
faceDetectResDTO.setWearGlasses(faceInfo.getWearGlasses());
faceDetectResDTO.setLeftEyeClosed(faceInfo.getLeftEyeClosed());
faceDetectResDTO.setRightEyeClosed(faceInfo.getRightEyeClosed());
faceDetectResDTO.setFaceShelter(faceInfo.getFaceShelter());
faceDetectResDTO.setFaceData(faceInfo.getFaceData());
if (CollectionUtil.isNotEmpty(process)) {
ProcessInfo processInfo = process.get(i);
faceDetectResDTO.setAge(processInfo.getAge());
faceDetectResDTO.setGender(processInfo.getGender());
faceDetectResDTO.setLiveness(processInfo.getLiveness());
}
byte[] feature = faceEngineService.extractFaceFeature(videoImageInfo, faceInfo);
if (feature != null) {
List<UserCompareInfo> userCompareInfos = faceEngineService.faceRecognition(feature, UserRamCache.getUserList(), 0.8f);
if (CollectionUtil.isNotEmpty(userCompareInfos)) {
faceDetectResDTO.setName(userCompareInfos.get(0).getName());
faceDetectResDTO.setSimilar(userCompareInfos.get(0).getSimilar());
faceDetectResDTO.setFaceId(userCompareInfos.get(0).getFaceId());
}
}
long end = System.currentTimeMillis();
System.out.println("检测耗时:" + (end - start) + "ms");
faceDetectResDTOS.add(faceDetectResDTO);
}
//System.out.println(index);
index = 0;
}
//标记人脸信息
for (FaceDetectResDTO faceDetectResDTO : faceDetectResDTOS) {
int faceId = faceDetectResDTO.getFaceId();
String name = faceDetectResDTO.getName();
float score = faceDetectResDTO.getSimilar();
Rect rect = faceDetectResDTO.getRect();
int age = faceDetectResDTO.getAge();
int gender = faceDetectResDTO.getGender();
int liveness = faceDetectResDTO.getLiveness();
String genderStr = gender == 0 ? "男" : "女";
String livenessStr = (liveness == 1 ? "活体" : "非活体");
//Imgproc.putText(frame, name + " " + String.valueOf(score), new Point(rect.left, rect.top), 0, 1.0, new Scalar(0, 255, 0), 1, Imgproc.LINE_AA, false);
frame = ImageUtil.addMark(bufferedImage, videoFaceInfoList, faceId, name, score, rect, age, genderStr, livenessStr);
}
}
gui.imshow(ShowVideo.conver2Image(frame));
gui.repaint();
}
try {
Thread.sleep(100);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}
}
配置完成后执行OpencvTest.testOpencv方法.如果出现如下报错
java.awt.HeadlessException
at java.awt.GraphicsEnvironment.checkHeadless(GraphicsEnvironment.java:204)
at java.awt.Window.<init>(Window.java:536)
at java.awt.Frame.<init>(Frame.java:420)
at java.awt.Frame.<init>(Frame.java:385)
at javax.swing.SwingUtilities$SharedOwnerFrame.<init>(SwingUtilities.java:1763)
at javax.swing.SwingUtilities.getSharedOwnerFrame(SwingUtilities.java:1838)
at javax.swing.JDialog.<init>(JDialog.java:272)
at javax.swing.JDialog.<init>(JDialog.java:206)
at javax.swing.JDialog.<init>(JDialog.java:154)
at com.itboyst.facedemo.util.ImageGUI.createWin(ImageGUI.java:40)
at com.itboyst.facedemo.OpencvTest.testOpencv(OpencvTest.java:65)
``
解决办法:在执行类的jvm options上加 -Djava.awt.headless=false
运行com.itboyst.facedemo.OpencvTest就可以加载视频并标记人脸信息,
打开代码中capture.open(0)的注释就可以实现摄像头实时识别了,视频识别处并没有触发android端通报功能,如果需要自行将
//给客户端发送结果
try {
//String msg = "姓名:" + userCompareInfos.get(0).getName() + ",年龄:" + faceDetectResDTO.getAge() + ",性别:" + faceDetectResDTO.getGender();
String msg = "VIP铂金客户:" + userCompareInfos.get(0).getName() + (faceDetectResDTO.getGender() == 0 ? "先生" : "女士") + "来厂" + ",客户专员:王迪,上次进厂时间:2020年2月10日,年龄," + faceDetectResDTO.getAge();
LocalSendHelper.sendData(String.valueOf(1), msg, new MBObserver() {
@Override
public void update(boolean isSuccess, Object extraObj) {
if (isSuccess) {
logger.info("消息发送成功:" + msg);
} else {
logger.info("消息发送失败:");
}
}
});
} catch (Exception e) {
logger.error(e.getMessage(), e);
}
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版权声明：本文为CSDN博主「ming13322」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/ming13322/article/details/118785704
此段代码嵌入就行了.
以上就是源码的全部功能,进一步的需求还需要盆友们自己去探索,此处抛砖引玉.
源码地址:https://gitee.com/x55admin/ArcSoftFaceDemo
参考:
- itboyst
- MobileIMSDK
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