人脸提取特征值（后台服务--公司版）
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@ -1,13 +1,17 @@
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package com.bonus.canteen.core.kitchen.service.impl;
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import cn.hutool.core.util.ObjectUtil;
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import com.alibaba.fastjson.JSONArray;
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import com.alibaba.fastjson.JSONObject;
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import com.bonus.canteen.core.common.utils.FileUrlUtil;
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import com.bonus.canteen.core.common.utils.MqUtil;
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import com.bonus.canteen.core.kitchen.domain.KitchenStaffFace;
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import com.bonus.canteen.core.kitchen.mapper.KitchenStaffFaceMapper;
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import com.bonus.canteen.core.kitchen.service.IKitchenStaffFaceService;
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import com.bonus.canteen.core.user.domain.DeviceMqPersonalUpdateMessageDTO;
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import com.bonus.canteen.core.user.domain.UserFace;
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import com.bonus.canteen.core.user.utils.ArcFaceHelper;
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import com.bonus.canteen.core.user.utils.FaceFeatureDetector;
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import com.bonus.canteen.core.user.utils.FaceResult;
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import com.bonus.common.core.exception.ServiceException;
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import com.bonus.common.core.utils.DateUtils;
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@ -57,16 +61,29 @@ public class KitchenStaffFaceServiceImpl implements IKitchenStaffFaceService {
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DeviceMqPersonalUpdateMessageDTO bean = new DeviceMqPersonalUpdateMessageDTO().setUpdatePersonPhoto(dto.getStaffId().intValue(),"del");
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MqUtil.pushToTenantAllDevice(bean, LeMqConstant.Topic.MORNING_INSPECTION_DEVICE_UPDATE_PERSONAL_CONFIG_V4);
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} else {
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log.info("开始采集虹软人脸");
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ArcFaceHelper arcFaceHelper = new ArcFaceHelper();
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long startTime = System.currentTimeMillis();
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//发送请求 调用人脸特征提取接口
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String url = FileUrlUtil.getFileUrl(dto.getPhotoUrl());
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FaceResult faceResult = arcFaceHelper.getFaceFeatures(url);
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log.info("采集结束");
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System.out.println("人脸特征提取url：" + url);
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String response = FaceFeatureDetector.detectFaceFeature(url);
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System.out.println("人脸特征提取接口返回结果：" + response);
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JSONObject jsonResponse = JSONObject.parseObject(response.toString());
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if (jsonResponse.getInteger("code") != 30002) {
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System.out.println("人脸特征提取失败，" + jsonResponse.getString("msg"));
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log.error("人脸特征提取失败，{}", jsonResponse.getString("msg"));
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throw new ServiceException("人脸特征提取失败，" + jsonResponse.getString("msg"));
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}
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long endTime = System.currentTimeMillis();
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System.out.println("人脸特征提取耗时：" + (endTime - startTime) + "ms");
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List<KitchenStaffFace> list = new ArrayList<>();
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if (faceResult != null) {
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String dataStr = jsonResponse.getString("data");
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// 将data字符串解析为JSONArray
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JSONArray dataArray = JSONArray.parseArray(dataStr);
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if (dataArray != null && !dataArray.isEmpty()) {
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Object faceFeature = dataArray.get(0);
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KitchenStaffFace faceVO = new KitchenStaffFace();
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faceVO.setErrorMsg("[软件]成功");
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faceVO.setFeatures(Base64.getEncoder().encodeToString(faceResult.getFeatures()));
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faceVO.setFeatures(faceFeature.toString());
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faceVO.setCreateBy(String.valueOf(SecurityUtils.getUserId()));
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faceVO.setStaffId(dto.getStaffId());
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faceVO.setPhotoUrl(dto.getPhotoUrl());
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@ -75,18 +92,17 @@ public class KitchenStaffFaceServiceImpl implements IKitchenStaffFaceService {
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faceVO.setCreateTime(DateUtils.getTime());
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faceVO.setUpdateTime(DateUtils.getTime());
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list.add(faceVO);
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log.info("faceResult.getFeatures():" + Base64.getEncoder().encodeToString(faceResult.getFeatures()));
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log.info("人脸采集成功");
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} else {
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throw new ServiceException("人脸照片识别失败");
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}
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int code = kitchenStaffFaceMapper.insertStaffFace(list.get(0));
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if (code == 0){
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throw new ServiceException("人脸照片保存失败");
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if (code == 0) {
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System.out.println("[人脸识别算法]：保存失败");
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log.error("[人脸识别算法]：保存失败");
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throw new ServiceException("[人脸识别算法]：保存失败");
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}
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// //发送mq
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DeviceMqPersonalUpdateMessageDTO bean = new DeviceMqPersonalUpdateMessageDTO().setUpdatePersonPhoto(dto.getStaffId().intValue(),"update");
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MqUtil.pushToTenantAllDevice(bean, LeMqConstant.Topic.MORNING_INSPECTION_DEVICE_UPDATE_PERSONAL_CONFIG_V4);
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}else{
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throw new ServiceException("人脸特征提取失败，未检测到人脸");
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}
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}
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return AjaxResult.success();
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}
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@ -1,15 +1,22 @@
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package com.bonus.canteen.core.user.service.impl;
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import java.beans.FeatureDescriptor;
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import java.time.LocalDateTime;
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import java.time.format.DateTimeFormatter;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.Base64;
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import java.util.List;
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import cn.hutool.core.util.ObjectUtil;
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import com.alibaba.fastjson.JSONArray;
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import com.alibaba.fastjson.JSONObject;
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import com.bonus.canteen.core.common.utils.FileUrlUtil;
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import com.bonus.canteen.core.common.utils.HttpClient;
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import com.bonus.canteen.core.common.utils.MqUtil;
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import com.bonus.canteen.core.user.domain.DeviceMqPersonalUpdateMessageDTO;
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import com.bonus.canteen.core.user.utils.ArcFaceHelper;
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import com.bonus.canteen.core.user.utils.FaceFeatureDetector;
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import com.bonus.canteen.core.user.utils.FaceResult;
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import com.bonus.common.core.exception.ServiceException;
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import com.bonus.common.core.utils.DateUtils;
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@ -46,6 +53,7 @@ public class UserFaceServiceImpl implements IUserFaceService {
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*/
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@Override
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public AjaxResult uploadUserFace(UserFace dto) {
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System.out.println("开始人脸识别");
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if (ObjectUtil.isNull(dto)) {
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throw new ServiceException("参数为空！");
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}
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@ -55,19 +63,32 @@ public class UserFaceServiceImpl implements IUserFaceService {
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if (StringUtils.isEmpty(dto.getPhotoUrl())) {
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userFaceMapper.deleteUserFace(dto);
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//发送mq
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DeviceMqPersonalUpdateMessageDTO bean = new DeviceMqPersonalUpdateMessageDTO().setUpdatePersonPhoto(dto.getUserId().intValue(),"del");
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DeviceMqPersonalUpdateMessageDTO bean = new DeviceMqPersonalUpdateMessageDTO().setUpdatePersonPhoto(dto.getUserId().intValue(), "del");
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MqUtil.pushToTenantAllDevice(bean, LeMqConstant.Topic.DEVICE_UPDATE_PERSONAL_CONFIG_V4);
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} else {
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log.info("开始采集虹软人脸");
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ArcFaceHelper arcFaceHelper = new ArcFaceHelper();
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long startTime = System.currentTimeMillis();
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//发送请求 调用人脸特征提取接口
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String url = FileUrlUtil.getFileUrl(dto.getPhotoUrl());
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FaceResult faceResult = arcFaceHelper.getFaceFeatures(url);
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log.info("采集结束");
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System.out.println("人脸特征提取url：" + url);
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String response = FaceFeatureDetector.detectFaceFeature(url);
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System.out.println("人脸特征提取接口返回结果：" + response);
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JSONObject jsonResponse = JSONObject.parseObject(response.toString());
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if (jsonResponse.getInteger("code") != 30002) {
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System.out.println("人脸特征提取失败，" + jsonResponse.getString("msg"));
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log.error("人脸特征提取失败，{}", jsonResponse.getString("msg"));
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throw new ServiceException("人脸特征提取失败，" + jsonResponse.getString("msg"));
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}
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long endTime = System.currentTimeMillis();
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System.out.println("人脸特征提取耗时：" + (endTime - startTime) + "ms");
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List<UserFace> list = new ArrayList<>();
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if (faceResult != null) {
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String dataStr = jsonResponse.getString("data");
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// 将data字符串解析为JSONArray
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JSONArray dataArray = JSONArray.parseArray(dataStr);
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if (dataArray != null && !dataArray.isEmpty()) {
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Object faceFeature = dataArray.get(0);
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UserFace faceVO = new UserFace();
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faceVO.setErrorMsg("[软件]成功");
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faceVO.setFeatures(Base64.getEncoder().encodeToString(faceResult.getFeatures()));
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faceVO.setFeatures(faceFeature.toString());
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faceVO.setCreateBy(String.valueOf(SecurityUtils.getUserId()));
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faceVO.setUserId(dto.getUserId());
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faceVO.setPhotoUrl(dto.getPhotoUrl());
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@ -76,18 +97,17 @@ public class UserFaceServiceImpl implements IUserFaceService {
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faceVO.setCreateTime(DateUtils.getTime());
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faceVO.setUpdateTime(DateUtils.getTime());
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list.add(faceVO);
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log.info("faceResult.getFeatures():" + Base64.getEncoder().encodeToString(faceResult.getFeatures()));
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log.info("人脸采集成功");
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} else {
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throw new ServiceException("[虹软算法]：特征值提取失败");
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}
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int code = userFaceMapper.insertUserFace(list.get(0));
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if (code == 0){
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throw new ServiceException("[虹软算法]：保存失败");
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if (code == 0) {
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System.out.println("[人脸识别算法]：保存失败");
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log.error("[人脸识别算法]：保存失败");
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throw new ServiceException("[人脸识别算法]：保存失败");
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}
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//发送mq
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DeviceMqPersonalUpdateMessageDTO bean = new DeviceMqPersonalUpdateMessageDTO().setUpdatePersonPhoto(dto.getUserId().intValue(),"update");
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DeviceMqPersonalUpdateMessageDTO bean = new DeviceMqPersonalUpdateMessageDTO().setUpdatePersonPhoto(dto.getUserId().intValue(), "update");
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MqUtil.pushToTenantAllDevice(bean, LeMqConstant.Topic.DEVICE_UPDATE_PERSONAL_CONFIG_V4);
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}else{
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throw new ServiceException("人脸特征提取失败，未检测到人脸");
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}
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}
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return AjaxResult.success();
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}
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@ -0,0 +1,107 @@
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package com.bonus.canteen.core.user.utils;
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import java.io.*;
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import java.net.HttpURLConnection;
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import java.net.URL;
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import java.nio.charset.StandardCharsets;
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import java.util.Base64;
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public class FaceFeatureDetector {
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/**
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* 检测人脸特征
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* @param imageInput 图片路径、base64编码或URL
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* @return 服务器响应
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*/
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public static String detectFaceFeature(String imageInput) {
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String apiUrl = "http://10.145.136.229:16699/featuredetect/";
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try {
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// 判断输入类型
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String imgType = determineImageInputType(imageInput);
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String imgData;
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if ("path".equals(imgType)) {
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// 如果是本地路径，读取文件并转为base64
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imgData = fileToBase64(imageInput);
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} else {
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// 如果是base64或URL，直接使用
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imgData = imageInput;
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}
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// 创建JSON请求体
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String jsonInputString = String.format("{\"img\":\"%s\"}", imgData);
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// 创建连接
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URL url = new URL(apiUrl);
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HttpURLConnection connection = (HttpURLConnection) url.openConnection();
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connection.setRequestMethod("POST");
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connection.setRequestProperty("Content-Type", "application/json; utf-8");
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connection.setRequestProperty("Accept", "application/json");
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connection.setDoOutput(true);
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// 发送请求
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try (OutputStream os = connection.getOutputStream()) {
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byte[] input = jsonInputString.getBytes(StandardCharsets.UTF_8);
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os.write(input, 0, input.length);
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}
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// 获取响应
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StringBuilder response = new StringBuilder();
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try (BufferedReader br = new BufferedReader(
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new InputStreamReader(connection.getInputStream(), StandardCharsets.UTF_8))) {
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String responseLine;
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while ((responseLine = br.readLine()) != null) {
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response.append(responseLine.trim());
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}
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}
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return response.toString();
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} catch (IOException e) {
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e.printStackTrace();
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return "{\"code\":\"500\",\"msg\":\"请求失败: " + e.getMessage() + "\"}";
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}
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}
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/**
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* 判断图片输入类型
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* @param input 输入字符串
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* @return 类型：path, base64, url
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*/
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private static String determineImageInputType(String input) {
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// 检查是否是文件路径
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if (new File(input).exists()) {
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return "path";
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}
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// 检查是否是base64编码（简单检查）
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if (input.matches("^[A-Za-z0-9+/]+={0,2}$")) {
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return "base64";
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}
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// 检查是否是URL
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if (input.startsWith("http://") || input.startsWith("https://")) {
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return "url";
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}
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// 默认认为是base64
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return "base64";
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}
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/**
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* 将文件转为base64编码
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* @param filePath 文件路径
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* @return base64编码字符串
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* @throws IOException
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*/
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private static String fileToBase64(String filePath) throws IOException {
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File file = new File(filePath);
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try (FileInputStream imageInFile = new FileInputStream(file)) {
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byte[] fileData = new byte[(int) file.length()];
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imageInFile.read(fileData);
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return Base64.getEncoder().encodeToString(fileData);
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}
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}
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}
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