java|使用虹软SDK实现离线人脸识别(局域网)

第一步,获取SDK
首先注册开发者账号,创建一个应用,得到两个东西,用于激活SDK引擎的,SDK key 和 AppID。
把SDK下载到本地,我这里选择的是java版本的, 文件夹中包括开发者文档、API文档、示例程序、jar包、引擎库dll文件。
第二步,写后台
把文件夹中的jar包复制到项目中的lib(自己创建的)文件夹下,
java|使用虹软SDK实现离线人脸识别(局域网)
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依赖这样写:

com.arcsoft.face arcsoft-sdk-face 3.0.0.0 system ${basedir}/src/main/resources/lib/arcsoft-sdk-face-3.0.0.0.jar


前端html以及js
java|使用虹软SDK实现离线人脸识别(局域网)
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chooseBorrower:function(){ var _this = this; layer.open({ type: 2, offset: 'auto', skin: 'layui-layer-lan', title: "选择关键词", area: ['88%', '100%'], shade: 0.3, shadeClose: false, content: '../borrow/borrower_choose.html', btn: ['确定','取消'],//'确定', yes: function(index, layero){ var mkey = layero.find("iframe")[0].contentWindow.$("#ids").val(); var mkeyName = layero.find("iframe")[0].contentWindow.$("#names").val(); if(mkey && mkey!=""){ var faceshow=$("#faceshow").val(); if(faceshow){ //人脸识别步骤 _this.getSfz(mkey,mkeyName); }else{ //非人脸步骤 _this.setNameword(mkey,mkeyName); } layer.closeAll(); }else{ layer.alert("请选择关键词"); return; } } }); }, getSfz:function(mkey,mkeyName){ var _this = this; var url ="face/analysis/getSfz"; $.ajax({ data:{id: mkey}, type: "POST", url: baseURL + url, success: function (r) { if(r.code==0) { _this.sfz= r.msg; layer.open({ type: 2, offset: 'auto', skin: 'layui-layer-lan', title: "人脸识别", area: ['460px', '380px'], shade: 0.3, shadeClose: false, content: '../face/faceIndex.html', end: function(){ _this.setNameword(mkey,mkeyName); } }); }else{ alert(r.msg); } } }); },


拍照上传 - 锐客网 <#include "/header.html">

/** * 拍照上传图片 */ var indexObj = {}; indexObj.tips = "没有检测到设备,请确保开启摄像头!"; debugger //首次运行引导用户,信任域名 var first = window.localStorage.getItem('first'); if(first == null ){ if (navigator.mediaDevices.getUserMedia || navigator.getUserMedia || navigator.webkitGetUserMedia || navigator.mozGetUserMedia) { //调用用户媒体设备, 访问摄像头 getUserMedia({video: {width: 480, height: 320}}, success, error); } else { alert('不支持访问用户媒体'); } }//访问用户媒体设备的兼容方法 function getUserMedia(constraints, success, error) { if (navigator.mediaDevices.getUserMedia) { //最新的标准API navigator.mediaDevices.getUserMedia(constraints).then(success).catch(error); } else if (navigator.webkitGetUserMedia) { //webkit核心浏览器 navigator.webkitGetUserMedia(constraints, success, error) } else if (navigator.mozGetUserMedia) { //firfox浏览器 navigator.mozGetUserMedia(constraints, success, error); } else if (navigator.getUserMedia) { //旧版API navigator.getUserMedia(constraints, success, error); } }var video = document.getElementById('index__video'); function success(stream) { //兼容webkit核心浏览器 var CompatibleURL = window.URL || window.webkitURL; //将视频流设置为video元素的源 video.srcObject = stream; // video.play(); video.onloadedmetadata = https://www.it610.com/article/function (e) { video.play(); }; }function error(error) { document.getElementById("index__tips").innerHTML = indexObj.tips; }// 列出摄像头和麦克风 var exArray = []; navigator.mediaDevices.enumerateDevices().then(function (devices) { devices.forEach(function (device) { if (device.kind == "videoinput") { exArray.push(device.deviceId); }}); var mediaOpts = {video: {deviceId: {exact: exArray[1]}}}; //调用用户媒体设备, 访问摄像头 getUserMedia(mediaOpts, success, error); }).catch(function (err) { console.log(err.name + ": " + err.message); }); /** * 拍照上传按钮的事件响应 */indexObj.uploadImg = function () { var canvas = document.getElementById("index__canvas"); var video = document.getElementById("index__video"); if (0 == video.videoWidth) { document.getElementById("index__tips").innerHTML = indexObj.tips; return; } // 让canvas和视频一样宽高。 var w = video.videoWidth; var h = video.videoHeight; canvas.width = w; canvas.height = h; // 把video标签中的画面,画到canvas中。 var ctx = canvas.getContext('2d'); ctx.drawImage(video, 0, 0, w, h); // 把canvas中的图像转换成png图片文件的Base64字符串。 var imgStr = canvas.toDataURL('image/png').split("base64,")[1]; // 获得用户ID var sfz = document.getElementById("sfz").value; axios.post(baseURL+"face/analysis/upload", {"sfz": sfz, "imgStr": imgStr}).then(function (res) { var r=res.data; if(r.code==500){//人脸不匹配 //alert(r.msg); } else{ window.clearInterval(t1); parent.layer.closeAll(); parent.alert("人脸匹配成功!"); } }).catch(function (error) { console.error(error); }) } var vm = new Vue({ el:'#rrapp', data:{ sfz:'', }, created: function(){ this.sfz=parent.getSfzParam(); }, methods: { getUrlKey:function(name){ return decodeURIComponent((new RegExp('[?|&]'+name+'='+'([^&; ]+?)(&|#|; |$)').exec(location.href)||[,""])[1].replace(/\+/g,'%20'))||null; }, } }); var t1=setInterval(indexObj.uploadImg, 1000 * 1);

Controller
package com.framework.modules.face.controller; import com.arcsoft.face.*; import com.arcsoft.face.enums.ErrorInfo; import com.arcsoft.face.toolkit.ImageInfo; import com.framework.common.config.FaceApiConfig; import com.framework.common.config.SysBaseConfig; import com.framework.common.utils.FaceUtils; import com.framework.common.utils.FileUtils; import com.framework.common.utils.R; import com.framework.common.utils.StringUtils; import com.framework.modules.borrow.entity.BorrowerEntity; import com.framework.modules.borrow.service.BorrowerService; import com.framework.modules.face.entity.ProfileUpload; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.RequestBody; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; import java.io.File; import java.io.FileNotFoundException; import java.io.IOException; import java.util.ArrayList; import java.util.List; import java.util.UUID; import static com.arcsoft.face.toolkit.ImageFactory.getRGBData; @RestController @RequestMapping("face/analysis") public class AnalysisController { @Autowired private FaceApiConfig faceApiConfig; @Autowired private SysBaseConfig sysBaseConfig; @Autowired private BorrowerService borrowerService; /** * 获取身份证照片路径 */ @RequestMapping("/getSfz") public R getSfz(@RequestParam(value = "https://www.it610.com/article/id") String id) throws IOException { //根据ID拿到身份证 BorrowerEntity borrower = borrowerService.selectById(id); if (borrower == null) { return R.error("无此借阅人相关信息!"); } String sfz = borrower.getSfz(); if (sfz == null || "".equals(sfz)) { return R.error("此借阅人无相关证件照片"); } return R.ok(sfz); }@RequestMapping("/upload") public R upload(@RequestBody ProfileUpload profileUpload){ StringBuffer fileName = new StringBuffer(); fileName.append(UUID.randomUUID().toString().replaceAll("-", "")); if (StringUtils.isBlank(profileUpload.getImgStr())) { return R.error("无识别视频!"); }try { FileUtils.createFile(profileUpload.getImgStr(),new File(faceApiConfig.getMat() + "//face.png")); float score = this.analysis(profileUpload.getSfz()); //匹配分数 if (score > 0.82) {//匹配通过 return R.ok("人脸匹配通过"); } else { if (score == 0) {//人脸不匹配 return R.error("检测结果为非活体"); } else { if (score != -3.0) { return R.error("人脸识别有误,请重试!"); } } } } catch (Exception e) { e.printStackTrace(); } return R.error("人脸识别有误,请重试!"); }private float analysis(String sfz) throws IOException { FaceEngine faceEngine= FaceUtils.getFaceEngine(faceApiConfig.getAppId(),faceApiConfig.getSdkKey()); if(faceEngine==null){return -4; }//引擎初始化异常 //人脸检测 ImageInfo imageInfo = getRGBData(new File(sysBaseConfig.getProfile()+sfz)); List faceInfoList = new ArrayList(); int errorCode = faceEngine.detectFaces(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList); //特征提取 FaceFeature faceFeature = new FaceFeature(); errorCode = faceEngine.extractFaceFeature(imageInfo.getImageData(), imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList.get(0), faceFeature); errorCode = FaceUtils.unInit(faceEngine); //卸载引擎File f=new File(faceApiConfig.getMat()+"//face.png"); if(f==null||!f.exists()){ return -3; } //人脸检测2 ImageInfo imageInfo2 = getRGBData(f); faceEngine=FaceUtils.getFaceEngine(faceApiConfig.getAppId(),faceApiConfig.getSdkKey()); List faceInfoList2 = new ArrayList(); errorCode = faceEngine.detectFaces(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(),imageInfo2.getImageFormat(), faceInfoList2); //特征提取2 FaceFeature faceFeature2 = new FaceFeature(); errorCode = faceEngine.extractFaceFeature(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo2.getImageFormat(), faceInfoList2.get(0), faceFeature2); //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); //设置活体测试 errorCode = faceEngine.setLivenessParam(0.5f, 0.7f); FunctionConfiguration configuration = new FunctionConfiguration(); configuration.setSupportLiveness(true); configuration.setSupportFace3dAngle(true); errorCode = faceEngine.process(imageInfo2.getImageData(), imageInfo2.getWidth(), imageInfo2.getHeight(), imageInfo2.getImageFormat(), faceInfoList2, configuration); //3D信息检测 List face3DAngleList = new ArrayList(); errorCode = faceEngine.getFace3DAngle(face3DAngleList); if(face3DAngleList == null || face3DAngleList.size() == 0) { return errorCode; } //活体检测 List livenessInfoList = new ArrayList(); int livecode = faceEngine.getLiveness(livenessInfoList); //引擎卸载 errorCode =FaceUtils.unInit(faceEngine); if(livecode== ErrorInfo.MOK.getValue()&&livenessInfoList.size()>0){ if(livenessInfoList.get(0).getLiveness()==1){ return faceSimilar.getScore(); }else{ return livenessInfoList.get(0).getLiveness(); } } return livecode; }}

秘钥配置
java|使用虹软SDK实现离线人脸识别(局域网)
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@Configuration @ConfigurationProperties(prefix="face.api") public class FaceApiConfig { private String appId; private String sdkKey; private String mat; public String getAppId() { return appId; } public void setAppId(String appId) { this.appId = appId; } public String getSdkKey() { return sdkKey; } public void setSdkKey(String sdkKey) { this.sdkKey = sdkKey; } public String getMat() { return mat; } public void setMat(String mat) { this.mat = mat; } }

【java|使用虹软SDK实现离线人脸识别(局域网)】人脸识别 引擎配置FaceUtils
package com.framework.common.utils; import com.arcsoft.face.ActiveFileInfo; import com.arcsoft.face.EngineConfiguration; import com.arcsoft.face.FaceEngine; import com.arcsoft.face.FunctionConfiguration; import com.arcsoft.face.enums.DetectMode; import com.arcsoft.face.enums.DetectOrient; import com.arcsoft.face.enums.ErrorInfo; import org.springframework.core.io.ClassPathResource; import org.springframework.core.io.Resource; import java.io.File; public class FaceUtils { public static FaceEngine getFaceEngine (String appId,String sdkKey){ try { Resource resource = new ClassPathResource(""); File file = new File(resource.getFile().getAbsolutePath()); String path = file.getAbsolutePath() +"/dll/arcsoft_lib"; com.arcsoft.face.FaceEngine faceEngine = new com.arcsoft.face.FaceEngine(path); //激活引擎 int errorCode = faceEngine.activeOnline(appId, sdkKey); if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) { System.out.println("引擎激活失败"); } ActiveFileInfo activeFileInfo=new ActiveFileInfo(); errorCode = faceEngine.getActiveFileInfo(activeFileInfo); if (errorCode != ErrorInfo.MOK.getValue() && errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) { System.out.println("获取激活文件信息失败"); } //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); engineConfiguration.setDetectFaceScaleVal(32); engineConfiguration.setFunctionConfiguration(functionConfiguration()); //初始化引擎 errorCode = faceEngine.init(engineConfiguration); if (errorCode != ErrorInfo.MOK.getValue()) { System.out.println("初始化引擎失败"); } return faceEngine; }catch (Exception e){ e.printStackTrace(); return null; } }public static int unInit(FaceEngine faceEngine){//卸载引擎 return faceEngine.unInit(); }public static FunctionConfiguration functionConfiguration() { FunctionConfiguration functionConfiguration=new FunctionConfiguration(); functionConfiguration.setSupportFaceDetect(true); functionConfiguration.setSupportFaceRecognition(true); functionConfiguration.setSupportLiveness(true); functionConfiguration.setSupportIRLiveness(true); functionConfiguration.setSupportAge(true); functionConfiguration.setSupportFace3dAngle(true); functionConfiguration.setSupportGender(true); return functionConfiguration; //该对象为Jar包对象 } }


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