修改相关日志打印格式

1542f525 · “liusq” · c19e68b8 · 1542f525 · 1542f525 · 1542f525
Commit 1542f525 authored Sep 14, 2024 by “liusq”
17 changed files
--- a/AlgorithmTaskManage.cpp
+++ b/AlgorithmTaskManage.cpp
@@ -153,7 +153,7 @@ void* AlgorithmTaskManage::schedulingAlgorithm(int scheType) {
    } else if (scheType == 0x03) {
        return schedulingAlgorithmTemplate(faceReconitionHandles, mtxFace);
    } else {
-        qInfo() << "参数错误";
+        qDebug() << "参数错误";
        return nullptr;
    }
 }
@@ -170,10 +170,10 @@ void AlgorithmTaskManage::executeFindDoesItExistEmployee(const cv::Mat &source,s
    if (selectedFaceReconition!=nullptr && !selectedFaceReconition->getImageChanged()) {
        selectedFaceReconition->setIsRunning(true);
        // 调用选定对象的doesItExistEmployee函数
-        qInfo() << "人脸识别算法抢到===>sn"<<sSn<<selectedFaceReconition;
+        qDebug() << "人脸识别算法抢到===>sn"<<sSn<<selectedFaceReconition;
-        selectedFaceReconition->doesItExistEmployee(source, faces);
+        selectedFaceReconition->doesItExistEmployee(sSn,source, faces);
    } else {
-        qInfo() << "没有可用的selectedFaceReconition对象可以调度";
+        qDebug() << "没有可用的selectedFaceReconition对象可以调度";
        return ;
    }
 }
@@ -192,10 +192,10 @@ void AlgorithmTaskManage::executeFindlicensePlateNumber(const cv::Mat &source, Q
    if (selectedLicensePlate!=nullptr) {
        selectedLicensePlate->setIsRunning(true);
        // 调用选定对象的findHuManCar函数
-        qInfo() << "车牌调度算法抢到===>sn"<<sSn<<selectedLicensePlate;
+        qDebug() << "车牌调度算法抢到===>sn"<<sSn<<selectedLicensePlate;
        selectedLicensePlate->licensePlateNumber(source, lpNumber,plate, currentTime);
    } else {
-        qInfo() << "没有可用的selectedLicensePlate对象可以调度";
+        qDebug() << "没有可用的selectedLicensePlate对象可以调度";
        return ;
    }
 }
@@ -214,11 +214,11 @@ int AlgorithmTaskManage::executeFindHuManCar(const cv::Mat &source, int res,
        selectedHumanDetection->setIsRunning(true);
        // 调用选定对象的findHuManCar函数
-        qInfo() << "人形调度算法抢到===>sn"<<sSn<<"res"<<selectedHumanDetection;
+        qDebug() << "人形调度算法抢到===>sn"<<sSn<<"res"<<selectedHumanDetection;
-        int detectionResult = selectedHumanDetection->findHuManCar(source, res,resMap, heightReference,currentPlate);
+        int detectionResult = selectedHumanDetection->findHuManCar(source, res,resMap, sSn,heightReference,currentPlate);
        return detectionResult;
    } else {
-        qInfo() << "没有可用的HumanDetection对象可以调度";
+        qDebug() << "没有可用的HumanDetection对象可以调度";
        return -2;
    }
 }
--- a/CameraHandle.cpp
+++ b/CameraHandle.cpp
@@ -74,7 +74,7 @@ int CameraHandle::sdkDevLoginSyn(QString sDevId, int nDevPort, QString sUserName
    loginParam->nCnnType=EDEV_CNN_TYPE_AUTO;
    int loginResult =XSDK_DevLoginSyn(loginParam,nTimeout);
    if(loginResult<0){
-        qInfo() << "登录设备失败";
+        qInfo() << QString("SN(%1): 登录设备失败").arg(sSn);;
        return loginResult;
    }
    this->hDevice=loginResult;
@@ -270,15 +270,16 @@ void CameraHandle::cameraParameterUpdate(vides_data::responseConfig &cloudConfig
        }
    }
-    if(this->face_frequency!=cloudConfig.faceConfig.faceFrequency){
-        this->face_frequency=cloudConfig.faceConfig.faceFrequency;
-    }
    float carConfidenceMax=cloudConfig.licensePlateConfig.carConfidenceMax;
    float carConfidenceMin=cloudConfig.licensePlateConfig.carConfidenceMin;
    this->setCarConfidenceMaxAndMin(carConfidenceMax,carConfidenceMin);
 }
+void CameraHandle::initFaceFrequency(uint64 face_frequency){
+    this->face_frequency=face_frequency;
+}
 void CameraHandle::initSdkRealTimeDevSnapSyn(int hDevice,int syn_timer,uint64 face_frequency) {
    connect(dev_snap_syn_timer, &QTimer::timeout, this, [this,hDevice]() {
@@ -295,7 +296,7 @@ void CameraHandle::sdkRealTimeDevSnapSyn(int hDevice) {
    };
    if (threadPool->activeThreadCount() >= threadPool->maxThreadCount()) {
-        qInfo() << "任务积压，跳过本次执行";
+        qInfo() << QString("SN(%1): 任务积压，跳过本次执行").arg(sSn);
        return;
    }
    auto taskRunnable = new TaskRunnable(taskSyn, hDevice, this->channel, RunFunction::SdkDevSnapSyn);
@@ -367,8 +368,8 @@ void CameraHandle::sdkDownloadFileByTime(XSDK_HANDLE hDevice,int id,
 }
 int CameraHandle::callbackFunction(XSDK_HANDLE hObject, QString &szString) {
-    if (!semaphore.tryAcquire()) {
+    if (!semaphore.tryAcquire()) {        
-        qInfo() <<sSn<<"sdkDevSnapSyn:正在执行线程";
+        qInfo() <<  QString("SN(%1): sdkDevSnapSyn:正在执行线程").arg(sSn);
        return -1;
    }
    ScopeSemaphoreExit guard([this]() {
@@ -395,7 +396,7 @@ int CameraHandle::callbackFunction(XSDK_HANDLE hObject, QString &szString) {
    cv::Mat image;
    MediaFaceImage* mediaFaceImage= MediaFaceImage::getInstance();
    qint64 currentTime= QDateTime::currentSecsSinceEpoch();
-    mediaFaceImage->FaceImageCallBack(hObject,this->channel,image);
+    mediaFaceImage->FaceImageCallBack(hObject,this->channel,image,sSn);
    if (image.empty())
    {
@@ -413,11 +414,11 @@ int CameraHandle::callbackFunction(XSDK_HANDLE hObject, QString &szString) {
 void CameraHandle::sdkDevSnapSyn(XSDK_HANDLE hDevice, int nChannel){
    if(hDevice<=0){
-        qInfo() << "相机断线";
+        qInfo() << QString("SN(%1): 相机断线").arg(sSn);
        return;
    }
    if (!semaphore.tryAcquire()) {
-        qInfo() << sSn<<"callbackFunction:正在执行线程";
+        qInfo() << QString("SN(%1): callbackFunction:正在执行线程").arg(sSn);;
        return ;
    }
    ScopeSemaphoreExit guard([this]() {
@@ -426,18 +427,15 @@ void CameraHandle::sdkDevSnapSyn(XSDK_HANDLE hDevice, int nChannel){
    cv::Mat image;
    MediaFaceImage* mediaFaceImage= MediaFaceImage::getInstance();
    qint64 currentTime= QDateTime::currentSecsSinceEpoch();
-    int ret=mediaFaceImage->FaceImageCallBack(hDevice,nChannel, image);
+    int ret=mediaFaceImage->FaceImageCallBack(hDevice,nChannel, image,sSn);
    if (ret < 0) {
        offlineCount++; // 累加计数器
-        qInfo() << "offlineCount: " << loginParam->sDevId<<offlineCount;
        if (offlineCount >= 3) { // 判断是否连续3次返回0
-            qInfo() << "设备离线";
+            qInfo() <<QString("SN(%1): 设备离线").arg(sSn);
            QString ip=QString::fromUtf8(loginParam->sDevId);
            bool is_ping=vides_data::pingAddress(ip);
-            qInfo() << "ping 的结果"<<is_ping;
+            qDebug() << sSn<<":ping 的结果"<<is_ping;
            if(is_ping){
                deviceReboot();
            }else {
@@ -457,11 +455,12 @@ void CameraHandle::sdkDevSnapSyn(XSDK_HANDLE hDevice, int nChannel){
    }
    if (image.empty())
    {
-        qInfo() << "Failed to read the image";
+        qInfo()<<QString("SN(%1): Failed to read the image").arg(sSn);
        return ;
    }
    if (image.rows <= 0 || image.cols <= 0 || image.channels() <= 0) {
-        qInfo() << "图像尺寸或通道数不正确，需排查原因";
+        qInfo()<<QString("SN(%1): 图像尺寸或通道数不正确，需排查原因").arg(sSn);
        return ;
    }
    updateImage(image, currentTime);
@@ -483,8 +482,9 @@ void CameraHandle::checkAndUpdateCurrentPlate(ParkingSpaceInfo*park,const cv::Ma
            }
        }
-        qInfo() << "最新车牌" << newInfo.getLicensePlate() << "区域当前车牌" << park->getCurrentPlate().getLicensePlate();
+        qInfo() << QString("SN(%1): 最新车牌%2，当前区域车牌：%3").arg(sSn).arg(newInfo.getLicensePlate()).arg(park->getCurrentPlate().getLicensePlate());      
-        qInfo() << "不同的区域：" << park->getSpaceIndex() << "，数量：" << count;
+        qInfo() << QString("SN(%1): 区域：%2，数量：%3").arg(sSn).arg(park->getSpaceIndex()).arg(count);
        if (count>= 3) {
            //第一次进场 当前车牌就是进来这个，老车牌就是空
            if(park->getCurrentPlate().getLicensePlate().length()<=0){
@@ -499,17 +499,17 @@ void CameraHandle::checkAndUpdateCurrentPlate(ParkingSpaceInfo*park,const cv::Ma
                    std::map<int,int>resMap;
                    int car_size =algorithmTaskManage.executeFindHuManCar(frame,0x01,currentPlates,resMap,sSn,heightReference);
-                    qInfo()<<sSn<<":"<<"当前车形数量:"<<car_size;
+                    qInfo()<<QString("SN(%1): 当前车形数量:%2").arg(sSn).arg(car_size);
                    if (car_size <= 0 && car_size!=-2) {
-                        qInfo() << sSn<<"区域:"<<park->getSpaceIndex()  << ": 出场：";
+                        qInfo()<<QString("SN(%1): 区域:%2出场").arg(sSn).arg(park->getSpaceIndex());                        
                        //如果有车辆检测到并且不在停车区域内部，视为出场
                        park->setCurrentPlate(newInfo);
                        result = Exit;
                    }else {
                        // 没有车辆或车辆在停车区域内部，移除队列
                        park->removeNoQueue();
-                        qInfo() << sSn << ": no出场：" << car_size;
+                        qDebug()<<QString("SN(%1): no出场：:%2").arg(sSn).arg(car_size);                              
                    }
                }else{
                    //当前不为空，新车，新车入场，老车出场
@@ -589,7 +589,7 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
    std::map<QString,vides_data::requestFaceReconition> mapFaces;
    ScopeSemaphoreExit guard([this]() {
        faceCount.fetch_add(1, std::memory_order_relaxed);
    });
@@ -601,8 +601,8 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
    int faSize =0;
    std::vector<vides_data::ParkingArea> currentPlates;
    int uniforms=0x00;
-    qInfo()<<"updateImage"<<algorithmPermissions;
    std::map<int,int>resMap;
+    qInfo()<<QString("SN(%1): 相机算法:%2").arg(sSn).arg(algorithmPermissions);                              
    if ((algorithmPermissions & 0x01<<3) != 0) {
        //穿工服算法
        if ((algorithmPermissions & 0x01<<2) != 0) {
@@ -620,7 +620,7 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
            }
        }
        if(uniforms==-2 || faSize==-2){
-            qInfo() << "没有可用的HumanDetection对象可以调度";
+            qInfo()<<QString("SN(%1): 没有可用的HumanDetection对象可以调度").arg(sSn);                              
            return ;
        }
        QPoint point_info(faSize,uniforms);
@@ -630,27 +630,33 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
                if ((algorithmPermissions & 0x01<<2) != 0) {
                    worker = (faSize - uniforms > 0) ? (faSize - uniforms) : 0;
                }
-                qInfo()<<"工作人数==>"<<worker;
                vides_data::response* resp=httpService.httpPostFacePopulation(imgs,faSize,worker,sSn,currentTime);
                if (resp->code!= 0) {
                    if(resp->msg=="TimeoutError")  {
                        QByteArray num_imgs;
                        httpService.setHttpUrl(httpUrl);
                        vides_data::response* img_resp = httpService.httpPostFacePopulation(num_imgs,faSize,worker,sSn,currentTime);
                        if (img_resp->code != 0) {
-                            qInfo()<<"不加图片人数变化推送信息推送失败";
+                            qInfo()<<QString("SN(%1):不加图片人数变化推送信息推送失败,失败信息%2").arg(sSn).arg(img_resp->msg);                                  
+                        }else {                            
+                            qInfo()<<QString("SN(%1): 不加图片人数变化推送信息推送成功").arg(sSn);                              
                        }
                        instace.deleteObj(img_resp);
+                    }else{
+                        qInfo()<<QString("SN(%1): 人数变化推送失败,失败信息%2").arg(sSn).arg(resp->msg);      
                    }
+                }else {
+                    qInfo()<<QString("SN(%1): 人数变化推送成功").arg(sSn);      
                }
                instace.deleteObj(resp);
                faceMapWorker.setX(faSize);
                faceMapWorker.setY(uniforms);
            }
        }
        if(faSize>0 && (algorithmPermissions & 0x01<<1) != 0){
            std::list<vides_data::faceRecognitionResult>faces;
            algorithmTaskManage.executeFindDoesItExistEmployee(frame,faces,sSn);
@@ -667,32 +673,35 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
                    faceReconition.area.bottom_right_corner_y= face.y + face.height;
                    faceReconition.area.bottom_left_corner_x = face.x;
                    faceReconition.area.bottom_left_corner_y = face.y + face.height;
                    faceReconition.area.top_right_corner_x = face.x + face.width;
                    faceReconition.area.top_right_corner_y = face.y;
                    httpService.setHttpUrl(httpUrl);
                    vides_data::response* resp = httpService.httpPostFaceReconition(faceReconition);
                    mapFaces.insert(std::make_pair( face.id, faceReconition));
                    if (resp->code!= 0) {
                        if(resp->msg=="TimeoutError")  {
                            faceReconition.img.clear();
                            httpService.setHttpUrl(httpUrl);
                            vides_data::response* img_resp = httpService.httpPostFaceReconition(faceReconition);
-                            if (img_resp->code != 0) {
+                            if (img_resp->code != 0) {     
-                                qInfo()<<"不加图片人脸信息推送失败";
+                                qInfo()<<QString("SN(%1): 不加图片人脸信息推送失败,失败信息%2,人脸id%3").arg(sSn).arg(resp->msg).arg(face.id);        
-                                qInfo()<<"不加图片识别人code"<<resp->code;
+                            }else {
-                                qInfo()<<"不加图片识别人msg"<<resp->msg;
+                                qInfo()<<QString("SN(%1): 不加图片人脸信息推送成功").arg(sSn);                                        
-                                qInfo()<<"不加图片识别人脸信息推送失败"<<face.id;
                            }
                            instace.deleteObj(img_resp);
+                        }else {
+                            qInfo()<<QString("SN(%1): 人脸信息推送失败,失败信息%2").arg(sSn).arg(resp->msg);                                  
                        }
+                    }else{
+                        qInfo()<<QString("SN(%1): 人脸信息推送成功").arg(sSn);                              
                    }
                    instace.deleteObj(resp);
                }
            }
        }
        if ((algorithmPermissions & 0x01<<2) != 0) {
            if(uniforms>0 ){
                //未穿工服的人数
@@ -707,18 +716,26 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
                            httpService.setHttpUrl(httpUrl);
                            vides_data::response* img_resp=httpService.httpPostUniforms(num_imgs,strUniform, sSn,currentTime);
                            if (img_resp->code != 0) {
-                                qInfo()<<"不加图片推送未穿工服人数失败";
+                                qInfo()<<QString("SN(%1): 不加图片推送未穿工服人数失败,失败信息%2").arg(sSn).arg(img_resp->msg);                                          
+                            }else {
+                                qInfo()<<QString("SN(%1): 不加图片推送未穿工服人数成功").arg(sSn);                                                                          
                            }
                            instace.deleteObj(img_resp);
+                        }else{
+                            qInfo()<<QString("SN(%1): 推送未穿工服人数失败,失败信息%2").arg(sSn).arg(resp->msg);                                  
                        }
+                    }else{
+                        qInfo()<<QString("SN(%1): 推送未穿工服人数成功").arg(sSn);                              
                    }
                    instace.deleteObj(resp);
                }
            }
        }
    }else{
-        qInfo()<<"人形识别算法关闭，只有车牌算法了";
+        qDebug()<<sSn<<":人形识别算法关闭，只有车牌算法了";
    }
    //关闭车牌识别
    if ((algorithmPermissions & 0x01) == 0) {
@@ -784,7 +801,7 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
        if (parkAreaMap != parkMap.end()) {
            value = parkAreaMap->second; // 成功找到，获取
        } else {
-            qInfo()<<sSn<<"==>区域不存在:"<<key;
+            qInfo()<<QString("SN(%1): 区域%2不存在").arg(sSn).arg(key);                              
            continue;
        }
        vides_data::requestLicensePlate resultPlate;
@@ -793,7 +810,7 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
        algorithmTaskManage.executeFindlicensePlateNumber(areaMat, lpNumber,resultPlate,currentTime,sSn);
        std::list<vides_data::LicensePlate>ps =resultPlate.plates;
-        qInfo()<<QString("sn==>%1,区域:%2识别的车牌信息是:%3").arg(sSn).arg(key).
+        qInfo()<<QString("SN(%1):区域:%2识别的车牌信息是:%3").arg(sSn).arg(key).
                 arg(lpNumber);
        if(ps.size()==0){
            int res=-1;
@@ -828,13 +845,13 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
            RecognizedInfo recognizedInfo;
            if (maxPlate.new_color=="蓝牌" && maxPlate.new_plate.length() != 7) {
-                qInfo()<<sSn<<"==>蓝牌车牌号:"<<maxPlate.new_plate<<"===>recognition.new_plate.length():"<<maxPlate.new_plate.length();
+                qDebug()<<QString("SN(%1): 蓝牌车牌号%2,recognition.new_plate.length()=%3").arg(sSn).arg(maxPlate.new_plate).arg(maxPlate.new_plate.length());                              
                continue;
            } else if (maxPlate.new_color=="绿牌新能源" && maxPlate.new_plate.length() != 8) {
-                qInfo()<<sSn<<"==>绿牌车牌号:"<<maxPlate.new_plate<<"===>recognition.new_plate.length():"<<maxPlate.new_plate.length();
+                qDebug()<<QString("SN(%1): 绿牌车牌号%2,recognition.new_plate.length()=%3").arg(sSn).arg(maxPlate.new_plate).arg(maxPlate.new_plate.length());                              
                continue;
            } else if (maxPlate.new_plate.length() < 7) {
-                qInfo()<<sSn<<"==>非绿牌蓝牌车牌号:"<<maxPlate.new_plate<<"===>recognition.new_plate.length():"<<maxPlate.new_plate.length();
+                qDebug()<<QString("SN(%1): 非绿牌蓝牌车牌号%2,recognition.new_plate.length()=%3").arg(sSn).arg(maxPlate.new_plate).arg(maxPlate.new_plate.length());                              
                continue;
            }
            if(maxPlate.text_confidence>=carConfidenceMax){
@@ -851,7 +868,8 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
                this->checkAndUpdateCurrentPlate(value,areaMat,recognizedInfo,res);
            }
            if(maxPlate.text_confidence<=carConfidenceMin){
-                qInfo()<<sSn<<"==>recognition.text_confidence<=instace.getCarConfidenceMin"<<carConfidenceMin;
+                qDebug()<<QString("SN(%1): recognition.text_confidence<=instace.getCarConfidenceMin:%2").arg(sSn).arg(carConfidenceMin);                              
                continue;
            }
            if(maxPlate.text_confidence>carConfidenceMin
@@ -870,7 +888,6 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
                maxPlate.img=imgs;
                maxPlate.new_color=recognizedInfo.getColor();
                newPlate.plates.push_back(std::move(maxPlate));
-                qInfo()<<QString("当前进入ps.size()>0 --> res == Exit || res == Mobilization 是当前校验返回结果是:%1").arg(res);
            }
            if(res==ExitAndMobilization){
                maxPlate.areaLocation=value->getArea();
@@ -883,7 +900,8 @@ void CameraHandle::updateImage(const cv::Mat & frame,qint64 currentTime){
    }
    if(newPlate.plates.size()>0){
        foreach (auto var, newPlate.plates) {
-            qInfo()<<QString("sn:%1 =>识别的车牌号是:%2").arg(sSn).arg(var.new_plate);
+            qInfo()<<QString("SN(%1): 识别的车牌号是:%2").arg(sSn).arg(var.new_plate);
        }
        licensePlateRecognitionResults(newPlate);
    }
@@ -942,14 +960,16 @@ void CameraHandle::licensePlateRecognitionResults(vides_data::requestLicensePlat
            httpService.setHttpUrl(httpUrl);
            vides_data::response* img_resp = httpService.httpLicensePlateRecognition(location, result);
            if (img_resp->code != 0) {
-                qInfo()<<"车牌不加图片上传失败";
+                qInfo()<<QString("SN(%1): 车牌不加图片上传失败:失败信息%2").arg(sSn).arg(img_resp->msg);
+            }else{
+                qInfo()<<QString("SN(%1): 车牌不加图片上传成功").arg(sSn);    
            }
            instace.deleteObj(img_resp);
        }else{
-            qInfo()<<"licensePlateRecognitionResults:车牌识别结果失败";
+            qInfo()<<QString("SN(%1): 车牌识别结果上传失败:失败信息%2").arg(sSn).arg(resp->msg);    
            // 在达到最大重试次数且仍然没有成功的情况下执行相应的处理逻辑
        }
    }
    instace.deleteObj(resp);
 }
@@ -988,7 +1008,7 @@ void CameraHandle::sdkWifi(QString &pwd,QString &ssid){
    int nLen = sizeof(szOutBuffer);
    int res =XSDK_DevSetSysConfigSyn(hDevice, JK_NetWork_Wifi, wipCfg, strlen(wipCfg), szOutBuffer, &nLen, 3000, EXCMD_CONFIG_SET);
    if(res<0){
-        qInfo() << "修改wifi失败";
+        qInfo()<<QString("SN(%1): 修改wifi失败").arg(sSn);    
    }
    deviceReboot();
@@ -1003,23 +1023,23 @@ void CameraHandle::sdkDevSystemTimeZoneSyn(QString &time){
    int res = XSDK_DevSetSysConfigSyn(hDevice, JK_System_TimeZone, zoneCfg, strlen(zoneCfg), outBuffer, &nInOutBufSize, 3000, EXCMD_CONFIG_GET);
    if(res<0){
-        qInfo() << "FirstUserTimeZone:修改失败";
+        qInfo()<<QString("SN(%1): FirstUserTimeZone 修改失败").arg(sSn);     
    }
    res=XSDK_DevSynTime(hDevice,cTime,0);
    if(res<0){
-        qInfo() << "sdkDevSystemTimeZoneSyn:修改失败";
+        qInfo()<<QString("SN(%1): sdkDevSystemTimeZoneSyn修改失败").arg(sSn);     
    }
 }
 //录像设置
 void CameraHandle::sdkRecordCfg(const char * recordJson){
-    qInfo()<<recordJson;
    char szOutBuffer[512] = { 0 };
    int nLen = sizeof(szOutBuffer);;
    int res=XSDK_DevSetSysConfigSyn(hDevice,JK_Record,recordJson,strlen(recordJson),szOutBuffer,&nLen,3000,EXCMD_CONFIG_SET);
    if(res<0){
-        qInfo() << "sdkRecordCfg 录像设置->修改失败"<<res;
+        qInfo()<<QString("SN(%1): sdkRecordCfg 录像设置->修改失败").arg(sSn);     
    }
 }
 //配置编码设置
@@ -1028,7 +1048,8 @@ void CameraHandle::sdkEncodeCfg(const char* pCfg){
    int nLen = sizeof(szOutBuffer);
    int res=XSDK_DevSetSysConfigSyn(hDevice,JK_Simplify_Encode,pCfg,strlen(pCfg),szOutBuffer,&nLen,3000,EXCMD_CONFIG_SET);
    if(res<0){
-        qInfo() << "sdkEncodeCfg 配置编码设置->修改失败"<<res;
+        qInfo()<<QString("SN(%1): sdkEncodeCfg 配置编码设置->修改失败").arg(sSn);     
    }
 }
@@ -1037,7 +1058,8 @@ int CameraHandle::updateSdkDevStatus(bool status){
    int  nInOutSize = sizeof(szOutBuffer);
    int res= XSDK_DevGetSysConfigSyn(hDevice,JK_NetWork_SPVMN,szOutBuffer,&nInOutSize,4000,EXCMD_CONFIG_GET);
    if(res<0){
-        qInfo() << sSn<<"GB28181可远程开关"<<res;
+        qInfo()<<QString("SN(%1): GB28181可远程开关").arg(sSn);     
        return 0 ;
    }
    XSDK_CFG::NetWork_SPVMN config;
@@ -1130,7 +1152,7 @@ void CameraHandle::sdkDevSpvMn(const char *spvMn){
    int nLen = sizeof(szOutBuffer);
    int res=XSDK_DevSetSysConfigSyn(hDevice,JK_NetWork_SPVMN,spvMn,strlen(spvMn),szOutBuffer,&nLen,3000,EXCMD_CONFIG_SET);
    if(res<0){
-        qInfo() << "sdkDevSpvMn 28181->修改失败"<<res;
+        qInfo() <<sSn<< ":sdkDevSpvMn 28181->修改失败"<<res;
    }
 }
 int CameraHandle::deviceReboot(){
@@ -1141,7 +1163,7 @@ int CameraHandle::deviceReboot(){
    const char* pCfg = cfg.ToString();
    nRet = XSDK_DevSetSysConfig(hDevice, JK_OPMachine, pCfg, strlen(pCfg), 1, 3000, EXCMD_SYSMANAGER_REQ);
    if(nRet<0){
-        qInfo() << sSn<<"重启相机失败"<<nRet;
+        qInfo() << sSn<<":重启相机失败"<<nRet;
        return 0 ;
    }
    QString ip=QString::fromUtf8(loginParam->sDevId);
@@ -1159,7 +1181,7 @@ int CameraHandle::deviceShutdown()
    const char* pCfg = cfg.ToString();
    nRet = XSDK_DevSetSysConfig(hDevice, JK_OPMachine, pCfg, strlen(pCfg), 1, 3000, EXCMD_SYSMANAGER_REQ);
    if(nRet<0){
-        qInfo() << sSn<<"设备关机失败"<<nRet;
+        qInfo()<<QString("SN(%1): 设备关机失败:%2").arg(sSn).arg(nRet);     
        return 0;
    }

--- a/CameraHandle.h
+++ b/CameraHandle.h
@@ -127,6 +127,10 @@ public:
    void setMediaHandle(int mediaHandle);
    void initAlgorithmPermissions(__uint8_t algorithm);
+    void initFaceFrequency(uint64 face_frequency);
    void initParkingSpaceInfo(const std::list<vides_data::responseArea>&areas);
    bool compareLists(const std::list<vides_data::responseArea>& newAreas);

--- a/FaceReconitionHandle.cpp
+++ b/FaceReconitionHandle.cpp
@@ -192,7 +192,7 @@ cv::Mat FaceReconitionHandle::loadImageFromByteStream(const QString& filePath) {
-void FaceReconitionHandle::doesItExistEmployee(const cv::Mat &source,std::list<vides_data::faceRecognitionResult>&faces){
+void FaceReconitionHandle::doesItExistEmployee(const QString &sn,const cv::Mat &source,std::list<vides_data::faceRecognitionResult>&faces){
    thread_time.store(QDateTime::currentMSecsSinceEpoch(), std::memory_order_release);
    ScopeSemaphoreExit streamGuard([this]() {
        isRunning.store(false, std::memory_order_release);
@@ -211,14 +211,14 @@ void FaceReconitionHandle::doesItExistEmployee(const cv::Mat &source,std::list<v
    ret = HF_CreateImageStream(&imageData, &imageSteamHandle);
    if (ret != HSUCCEED) {
-        qInfo()<<QString("image handle error:%1").arg((long) imageSteamHandle,0,10);
+        qInfo()<<QString("SN(%1): image handle error:%2").arg(sn).arg((long)imageSteamHandle,0,10);
        return ;
    }
    HF_MultipleFaceData multipleFaceData = {0};
    HF_FaceContextRunFaceTrack(ctxHandle, imageSteamHandle, &multipleFaceData);
    if (multipleFaceData.detectedNum <= 0) {
-        qInfo()<<QString("search 未检测到人脸");
+        qInfo()<<QString("SN(%1): 未检测到人脸").arg(sn);
        return ;
    }
@@ -227,11 +227,12 @@ void FaceReconitionHandle::doesItExistEmployee(const cv::Mat &source,std::list<v
    HInt32 featureNum;
    HF_GetFeatureLength(ctxHandle, &featureNum);
    for(int j=0;j< multipleFaceData.detectedNum; ++j){
-        qInfo()<<QString("doesItExistEmployee==>面部索引: %1").arg(j);
+        //qInfo()<<QString("doesItExistEmployee==>面部索引: %1").arg(j);
+        qDebug() << QString("SN(%1): 面部索引:%2").arg(sn).arg(j);
        std::vector<float> newfeature(featureNum,0.0f);
        ret = HF_FaceFeatureExtractCpy(ctxHandle, imageSteamHandle, multipleFaceData.tokens[j], newfeature.data());
        if(ret != HSUCCEED) {
-            qInfo()<<QString("特征提取出错: %1").arg(ret);
+            qInfo() << QString("SN(%1): 特征提取出错:%2").arg(sn).arg(ret);
            HF_ReleaseImageStream(imageSteamHandle);
            return ;
        }
@@ -248,13 +249,12 @@ void FaceReconitionHandle::doesItExistEmployee(const cv::Mat &source,std::list<v
        HFloat confidence;
        ret = HF_FeaturesGroupFeatureSearch(ctxHandle, feature, &confidence, &searchIdentity);
        if (ret != HSUCCEED) {
-            qInfo()<<QString("搜索失败: %1").arg(ret);
+            qInfo() << QString("SN(%1): 搜索失败:%2").arg(sn).arg(ret);
            return ;
        }
+        qInfo() << QString("SN(%1): 搜索置信度:%2").arg(sn).arg(confidence);
-        qInfo()<<QString("搜索置信度: %1").arg(confidence);
+        qInfo() << QString("SN(%1): 匹配到的tag:%2").arg(sn).arg(searchIdentity.tag);
-        qInfo()<<QString("匹配到的tag: %1").arg(searchIdentity.tag);
+        qInfo() << QString("SN(%1): 匹配到的customId:%2").arg(sn).arg(searchIdentity.customId);
-        qInfo()<<QString("匹配到的customId: %1").arg(searchIdentity.customId);
        // Face Pipeline
        //printf("人脸特征数量: %d", faceNum);
        if (confidence > configConfidence) {
@@ -275,7 +275,7 @@ void FaceReconitionHandle::doesItExistEmployee(const cv::Mat &source,std::list<v
        // printf("image released");
    } else {
        //printf("image release error: %ld", ret);
-        qInfo()<<QString("image release error: %1").arg(ret);
+        qInfo() << QString("SN(%1): image release error:%2").arg(sn).arg(ret);
    }
 }
--- a/FaceReconitionHandle.h
+++ b/FaceReconitionHandle.h
@@ -33,7 +33,7 @@ public:
    void setImageChanged(bool imageChanged);
-    void doesItExistEmployee(const cv::Mat &source,std::list<vides_data::faceRecognitionResult>&face);
+    void doesItExistEmployee(const QString &sn,const cv::Mat &source,std::list<vides_data::faceRecognitionResult>&face);
    void initSourceImageMap(std::map<QString,QString>&maps,int numberFaces,float confidence);

--- a/HttpService.cpp
+++ b/HttpService.cpp
@@ -354,11 +354,6 @@ vides_data::response *HttpService::httpPostFacePopulation(QByteArray &img,int &h
        resp->code=map["code"].toInt();
        resp->msg=map["message"].toString();
    }else{
-        qInfo()<<"httpPostFacePopulation===>";
-        qInfo()<<m_httpClient.errorCode();
-        qInfo()<<m_httpClient.errorString();
-        qInfo()<<"httpPostFacePopulation===>end";
        resp->code=2;
        resp->msg=m_httpClient.errorCode();
    }
@@ -511,7 +506,6 @@ vides_data::response *HttpService::httpDeviceConfig(const QString &serialNumber,
        QJsonObject faceConfigObj = dataObj["faceConfig"].toObject();
        config.faceConfig.isOn = faceConfigObj["isOn"].toBool();
        config.faceConfig.faceNumbers = faceConfigObj["faceNumbers"].toInt();
-        config.faceConfig.faceFrequency = faceConfigObj["faceFrequency"].toInt();
        config.faceConfig.confidence = faceConfigObj["confidence"].toVariant().toFloat();
        config.faceConfig.updateAt = faceConfigObj["updateAt"].toVariant().toULongLong();
        config.faceConfig.faceLen=faceConfigObj["faceLen"].toInt();
@@ -542,6 +536,7 @@ vides_data::response *HttpService::httpDeviceConfig(const QString &serialNumber,
        QJsonObject humanConfigObj = dataObj["humanConfig"].toObject();
        config.humanConfig.isOn=humanConfigObj["isOn"].toBool();
        config.humanConfig.updateAt = humanConfigObj["updateAt"].toVariant().toULongLong();
+        config.humanConfig.faceFrequency = humanConfigObj["faceFrequency"].toVariant().toUInt();
        // 解析 devicesConfig
        QJsonObject devicesConfigObj = dataObj["camera"].toObject();

--- a/HumanDetection.cpp
+++ b/HumanDetection.cpp
@@ -77,7 +77,7 @@ void HumanDetection::setHuManParameter(int &uniformColor){
 }
 //0 人形 1 车形 2 工服
-int HumanDetection::findHuManCar(const cv::Mat &source, int res,std::map<int,int>&reMap, float &heightReference, std::vector<vides_data::ParkingArea> &currentPlate) {
+int HumanDetection::findHuManCar(const cv::Mat &source, int res,std::map<int,int>&reMap,QString &sSn, float &heightReference, std::vector<vides_data::ParkingArea> &currentPlate) {
    thread_time.store(QDateTime::currentMSecsSinceEpoch(), std::memory_order_release);
    TCV_CameraStream *stream = TCV_CreateCameraStream();
@@ -100,8 +100,7 @@ int HumanDetection::findHuManCar(const cv::Mat &source, int res,std::map<int,int
    if (res == 0x00 || res == 0x02) {
        num = TCV_HumanDetectorGetNumOfHuman(detector);
-        qInfo()<<"TCV_HumanDetectorGetNumOfHuman==>"<<num;
+        qInfo() << QString("SN(%1): 获取人体数量:%2").arg(sSn).arg(num);
        if (num == 0) return num; // 无行人检测结果，提前返回
        std::vector<TCV_ObjectLocation> results(num);
        TCV_HumanDetectorGetHumanLocation(detector, results.data(), num);
@@ -133,8 +132,6 @@ int HumanDetection::findHuManCar(const cv::Mat &source, int res,std::map<int,int
        }
        reMap[0x02] = count_no_uniform; // 未穿工服的行人数量
        reMap[0x00] = count_all; // 所有满足条件的行人数量
-        qInfo()<<"count_all==>"<<count_all;
-        qInfo()<<"count_no_uniform==>"<<count_no_uniform;
        num = (res == 0x00) ? count_all : count_no_uniform;
    }

--- a/HumanDetection.h
+++ b/HumanDetection.h
@@ -16,7 +16,7 @@ public:
                   float carShapeConfidence);
    ~HumanDetection();
-    int findHuManCar(const cv::Mat &source,int res,std::map<int,int>&reMap,
+    int findHuManCar(const cv::Mat &source,int res,std::map<int,int>&reMap,QString &sSn,
                     float &heightReference,  std::vector<vides_data::ParkingArea> &currentPlate);
    void setHuManParameter(int &uniformColor);

--- a/LicensePlateRecognition.cpp
+++ b/LicensePlateRecognition.cpp
@@ -82,7 +82,6 @@ void LicensePlateRecognition::oldLicensePlateNumber(const cv::Mat &source,const 
        } else {
            type = types[results.plates[i].type];
        }
-        qInfo()<<QString("车牌号:%1").arg(results.plates[i].code);
        QString plateResult = QString("第%1个,%2,车牌号:%3,置信度:%4,左上角点x坐标:%5,左上角点y坐标:%6,右下角点x坐标:%7,右下角点y坐标:%8")
                .arg(i + 1).arg(type.c_str()).arg(results.plates[i].code)
                .arg(results.plates[i].text_confidence).arg(results.plates[i].x1, 0, 'Q', 4)
@@ -168,7 +167,6 @@ void LicensePlateRecognition::licensePlateNumber(const cv::Mat &source, QString 
        newPlate.new_color=QString::fromStdString(type);
        QString car_nuber=QString::fromUtf8(results.plates[i].code);
        replaceWith1And0(car_nuber);
-        qInfo()<<"I O (i o)大小写替换为 1 0结果:==>"<<car_nuber;
        newPlate.new_plate=car_nuber;
        newPlate.text_confidence=results.plates[i].text_confidence;
        vides_data::ParkingArea area;

--- a/LogHandle.h
+++ b/LogHandle.h
@@ -12,7 +12,7 @@
 #include <QTextStream>
 #include <QTextCodec>
-const int g_logLimitSize = 5;
+const int g_logLimitSize = 45;
 struct LogHandlerPrivate {
    LogHandlerPrivate();

--- a/LogHandler.cpp
+++ b/LogHandler.cpp
@@ -25,13 +25,13 @@ LogHandlerPrivate::LogHandlerPrivate() {
    openAndBackupLogFile();
    // 十分钟检查一次日志文件创建时间
-    renameLogFileTimer.setInterval(1000*2); // TODO: 可从配置文件读取
+    renameLogFileTimer.setInterval(1000 * 60 * 10); // TODO: 可从配置文件读取
    renameLogFileTimer.start();
    QObject::connect(&renameLogFileTimer, &QTimer::timeout, [this] {
        QMutexLocker locker(&LogHandlerPrivate::logMutex);
        openAndBackupLogFile(); // 打开日志文件
        checkLogFiles(); // 检测当前日志文件大小
-       // autoDeleteLog(); // 自动删除30天前的日志
+        // autoDeleteLog(); // 自动删除30天前的日志
    });
    // 定时刷新日志输出到文件，尽快的能在日志文件里看到最新的日志
@@ -91,10 +91,17 @@ void LogHandlerPrivate::openAndBackupLogFile() {
        logFile->close();
        delete logOut;
        delete logFile;
+        QDate renameDate = logFileCreatedDate;
+        if (logFileCreatedDate == QDate::currentDate()) {
+            renameDate = QDate::currentDate().addDays(-1);  // 设置为昨天的日期
+        }
-        QString newLogPath = logDir.absoluteFilePath(logFileCreatedDate.toString("yyyy-MM-dd.log"));
+        QString newLogPath = logDir.absoluteFilePath(renameDate.toString("yyyy-MM-dd.log"));
-        QFile::rename(logPath, newLogPath); // 将原始日志文件重命名为新的文件名
+        // QFile::rename(logPath, newLogPath); // 将原始日志文件重命名为新的文件名
+        QFile::copy(logPath, newLogPath);
+        QFile::remove(logPath);
        logFile = new QFile(logPath);
        logOut  = (logFile->open(QIODevice::WriteOnly | QIODevice::Text | QIODevice::Append)) ?  new QTextStream(logFile) : nullptr;
        logFileCreatedDate = QDate::currentDate();
@@ -105,8 +112,8 @@ void LogHandlerPrivate::openAndBackupLogFile() {
 // 检测当前日志文件大小
 void LogHandlerPrivate::checkLogFiles() {
-    // 如果 protocal.log 文件大小超过5M，重新创建一个日志文件，原文件存档为yyyy-MM-dd_hhmmss.log
+    // 如果 protocal.log 文件大小超过55M，重新创建一个日志文件，原文件存档为yyyy-MM-dd_hhmmss.log
-    if (logFile->size() > 1024*g_logLimitSize) {
+    if (logFile->size() > 1024*1024*g_logLimitSize) {
        logFile->flush();
        logFile->close();
        delete logOut;
@@ -114,7 +121,11 @@ void LogHandlerPrivate::checkLogFiles() {
        QString logPath = logDir.absoluteFilePath("today.log"); // 日志的路径
        QString newLogPath = logDir.absoluteFilePath(logFileCreatedDate.toString("yyyy-MM-dd.log"));
-         QFile::rename(logPath, newLogPath);
+        // QFile::rename(logPath, newLogPath);
+        QFile::copy(logPath, newLogPath);
+        QFile::remove(logPath);
        logFile = new QFile(logPath);
        logOut  = (logFile->open(QIODevice::WriteOnly | QIODevice::Text | QIODevice::Append)) ?  new QTextStream(logFile) : NULL;
        logFileCreatedDate = QDate::currentDate();

--- a/MediaFaceImage.cpp
+++ b/MediaFaceImage.cpp
@@ -230,7 +230,7 @@ int MediaFaceImage::ToFile(const char* pFileName, const void* pData, int nLength
 //    return pInOutBufferSize; // pOutBuffer由智能指针管理，此处无需手动释放
 //}
-int MediaFaceImage::FaceImageCallBack(XSDK_HANDLE hMedia, int nChannel, cv::Mat &image) {
+int MediaFaceImage::FaceImageCallBack(XSDK_HANDLE hMedia, int nChannel, cv::Mat &image,QString &sSn) {
    const int BufferSize = 1024 * 1024 * 2; // 缓冲区大小
    image.release();                        // 释放之前的图像
    std::unique_ptr<unsigned char[]> pOutBuffer(new unsigned char[BufferSize]); // 智能指针管理内存
@@ -238,7 +238,7 @@ int MediaFaceImage::FaceImageCallBack(XSDK_HANDLE hMedia, int nChannel, cv::Mat 
    int ret = XSDK_DevSnapSyn(hMedia, nChannel, "", pOutBuffer.get(), &pInOutBufferSize);
    if (ret < 0 || pInOutBufferSize <= 0) {
-        qInfo() << "同步设备端抓图失败";
+        qInfo() <<sSn <<":同步设备端抓图失败";
        return -1;
    }
@@ -249,12 +249,12 @@ int MediaFaceImage::FaceImageCallBack(XSDK_HANDLE hMedia, int nChannel, cv::Mat 
    try {
        cv::Mat decodedImage = cv::imdecode(buffer, cv::IMREAD_UNCHANGED);
        if (decodedImage.empty()) {
-            qInfo() << "图像解码失败";
+            qInfo() << sSn<<":图像解码失败";
            return -1;
        }
        image = std::move(decodedImage);
    } catch (const cv::Exception& e) {
-        qInfo() << "图像解码过程中捕获异常：" << e.what();
+        qInfo() << sSn<<":图像解码过程中捕获异常：" << e.what();
        return -1;
    }

--- a/MediaFaceImage.h
+++ b/MediaFaceImage.h
@@ -18,7 +18,7 @@ public:
    static MediaFaceImage* getInstance();  // 单例模式获取实例的静态成员函数
    void ParserImageData(const unsigned char* pData, int nDataLen, char* pJpg, int* nJpgLen, char* pJson);
-    int FaceImageCallBack(XSDK_HANDLE hMedia,int nChannel,cv::Mat &image);
+    int FaceImageCallBack(XSDK_HANDLE hMedia,int nChannel,cv::Mat &image,QString &sSn);
    int CameraImage(XSDK_HANDLE hMedia,int nChannel,std::vector<uchar> &buffer);
    int ToFile(const char* pFileName, const void* pData, int nLenght);

--- a/ParkingSpaceInfo.cpp
+++ b/ParkingSpaceInfo.cpp
@@ -10,7 +10,6 @@ ParkingSpaceInfo::ParkingSpaceInfo(){
 }
 ParkingSpaceInfo::~ParkingSpaceInfo(){
    qInfo() <<  "ParkingSpaceInfo:关闭";
 }
 void ParkingSpaceInfo::addQueue(RecognizedInfo &info){
    QMutexLocker locker(&queueMutex);

--- a/VidesData.h
+++ b/VidesData.h
@@ -250,7 +250,6 @@ struct Camera {
 struct FaceConfig {
    bool isOn;
    int faceNumbers;
-    uint64 faceFrequency;
    float confidence;
    int faceLen;
    quint64 updateAt;
@@ -281,7 +280,7 @@ struct UniformConfig {
 };
 struct HumanConfig{
    bool isOn;
-    int humanDetectionLen;
+    uint64 faceFrequency;
    quint64 updateAt;
 };

--- a/gamera_videos.pro
+++ b/gamera_videos.pro
@@ -13,7 +13,8 @@ TEMPLATE = app
 # deprecated API in order to know how to port your code away from it.
 DEFINES += QT_DEPRECATED_WARNINGS
 DEFINES += APP_VERSION=\\\"1.3.2\\\"
+DEFINES += QT_MESSAGELOGCONTEXT
+DEFINES += QT_NO_DEBUG_OUTPUT
 QMAKE_LIBDIR += /usr/local/lib
 INCLUDEPATH+=/usr/local/include/opencv4
@@ -24,6 +25,9 @@ INCLUDEPATH+=/usr/local/include/human
 INCLUDEPATH+=/usr/local/include/CImg
 INCLUDEPATH+=/usr/local/include/mqtt
 # 禁用所有警告
 QMAKE_CXXFLAGS += -w

--- a/mainwindow.cpp
+++ b/mainwindow.cpp
@@ -557,7 +557,8 @@ void MainWindow::startCamera(const QString &httpurl){
                            reStatus.camera_info_list.push_front(camera_info);
                            __uint8_t new_algorithm= intToUint8t(devConfig.faceConfig.isOn,devConfig.licensePlateConfig.isOn,devConfig.uniformConfig.isOn,devConfig.humanConfig.isOn);
+                             uint64 face_frequency=devConfig.humanConfig.faceFrequency;
+                             offlineCameraHandle->initFaceFrequency(face_frequency);
                            offlineCameraHandle->cameraParameterUpdate(devConfig);
                            offlineCameraHandle->initAlgorithmPermissions(new_algorithm);
                            if(!offlineCameraHandle->compareLists(device.areas)){
@@ -724,7 +725,6 @@ void MainWindow::initEncodeToString(QString &enCodeJson) {
 }
 bool MainWindow::iniWorkSpVMn(vides_data::responseGb28181 *gb28181,QString &workSpWMn,QString &sn){
-    qInfo()<<"iniWorkSpVMn=="<<sn;
    QString jsonfile=QCoreApplication::applicationDirPath()+"/camera_config.json";
    bool isEqual=true;
@@ -975,8 +975,6 @@ __uint8_t MainWindow::intToUint8t(bool faceAlgorithm, bool licensePlateAlgorithm
    // 车牌识别对应最低位（第0位）
    result |= (licensePlateAlgorithm ? 1 : 0);
-    qInfo()<<"算法结果"<<result;
    return result;
 }
 void MainWindow::initCameras(vides_data::cameraParameters &parameter,vides_data::responseConfig &devConfig,const std::list<vides_data::responseArea>&areas,std::list<vides_data::requestCameraInfo>&camera_info_list){
@@ -988,9 +986,10 @@ void MainWindow::initCameras(vides_data::cameraParameters &parameter,vides_data:
    CameraHandle * cameraHandle =new CameraHandle(parameter.sDevId,parameter.httpUrl,parameter.sSn,parameter.channel,image_save,heightReference,devConfig);
    int sdk_handle=cameraHandle->sdkDevLoginSyn(parameter.sDevId,parameter.nDevPort,parameter.sUserName,parameter.sPassword,3000);
-    qInfo()<<"句柄为2:"<<sdk_handle;
+    qDebug() << QString("SN(%1): 句柄为%2").arg(parameter.sSn).arg(sdk_handle);
    if(sdk_handle<=0){
-        qInfo() << "登录失败";
+        qInfo() << QString("SN(%1): 登录失败").arg(parameter.sSn);
        return ;
    }
    mediaFaceImage->setMap(sdk_handle,cameraHandle);
@@ -1002,7 +1001,7 @@ void MainWindow::initCameras(vides_data::cameraParameters &parameter,vides_data:
    int synTime=devConfig.camera.devSnapSynTimer;
-    uint64 face_frequency=devConfig.faceConfig.faceFrequency;
+    uint64 face_frequency=devConfig.humanConfig.faceFrequency;
    float carConfidenceMax=devConfig.licensePlateConfig.carConfidenceMax;
    float carConfidenceMin=devConfig.licensePlateConfig.carConfidenceMin;