diff --git a/DeviceActivate/bin/init b/DeviceActivate/bin/init
index 9876def..a8ef9bb 100755
Binary files a/DeviceActivate/bin/init and b/DeviceActivate/bin/init differ
diff --git a/DeviceActivate/src/makefile b/DeviceActivate/src/makefile
index edc7d72..56cda4a 100644
--- a/DeviceActivate/src/makefile
+++ b/DeviceActivate/src/makefile
@@ -1,7 +1,7 @@
 all:init
 
 init:main.cpp
-	g++ -g -o init main.cpp -lpaho-mqttpp3 -lpaho-mqtt3a -lpthread	/home/orangepi/RKApp/DeviceActivate/NetraLib/src/Netra.cpp -I/home/orangepi/RKApp/DeviceActivate/NetraLib/include
+	g++ -g -o init main.cpp -lpaho-mqttpp3 -lpaho-mqtt3a -lpthread /home/orangepi/RKApp/DeviceActivate/NetraLib/src/Netra.cpp -I/home/orangepi/RKApp/DeviceActivate/NetraLib/include
 	mv init ../bin/
 
 clean:
diff --git a/VideoProsessing/bin/video b/VideoProsessing/bin/video
index 038ab9c..e605686 100755
Binary files a/VideoProsessing/bin/video and b/VideoProsessing/bin/video differ
diff --git a/VideoProsessing/src/main.cpp b/VideoProsessing/src/main.cpp
index a7ca26c..6b730da 100644
--- a/VideoProsessing/src/main.cpp
+++ b/VideoProsessing/src/main.cpp
@@ -1,6 +1,6 @@
 /*
 本程序用于视频分流
-1.推流摄像头画面至RTSP服务器,交由YOLO模型进行处理
+1.推流摄像头画面,使用UDP原生协议进行推流,交由YOLO模型进行处理
 2.接收YOLO传来的坐标,深度,警报等级等等数据
 3.根据获取到的数据绘制边框和相应数据
 4.将绘制完毕的视频流继续推流至RTSP服务器用于输出
@@ -17,7 +17,7 @@ using namespace chrono_literals;
 
 // 全局变量
 VideoCapture cap(0);
-Mat handleFrame;
+Mat handleFrame; // 存放处理后的帧
 const string mqtt_url = "tcp://192.168.12.1:1883";
 const string clientId = "video_subData";
 const string Topic = "/video/PersonData";
@@ -57,7 +57,7 @@ int main()
         return -1;
     }
 
-    // 初始化mqtt
+    // 初始化mqtt:订阅,回调函数
     MqttInit();
 
     // 主处理循环
@@ -93,12 +93,22 @@ void MqttInit()
 void getMsgCallback(mqtt::const_message_ptr msg)
 {
     string payload = msg->to_string();
-    cout << "Recv payload: " << payload << endl;
-
     thread([payload]()
            {
         try {
             // TODO 处理接收到到的位置数据
+            auto json = nlohmann::json::parse(payload);
+            //绘制标况            
+            for(auto & ii :json)
+            {
+                int x = static_cast<int>(ii["x"]);
+                int y = static_cast<int>(ii["y"]);
+                int w = static_cast<int>(ii["w"]);
+                int h = static_cast<int>(ii["h"]);
+                double distance = static_cast<double>(ii["distance"]);
+                drawRect(x,y,w,h,distance);
+            }
+
         }
         catch (const nlohmann::json::parse_error &e) {
             cerr << "JSON 解析错误: " << e.what() << "\n原始 payload: " << payload << "\n";
@@ -171,20 +181,6 @@ bool processFrame(VideoCapture &cap, FILE *pipe, Mat &frame, int64 &count, chron
     // 拷贝视频帧
     handleFrame = frame;
 
-    auto now_ms = chrono::system_clock::now();
-    auto timestamp = chrono::duration_cast<chrono::milliseconds>(now_ms.time_since_epoch()).count();
-    auto now_time = chrono::system_clock::to_time_t(now_ms);
-    auto ms = timestamp % 1000;
-
-    char timeStr[100];
-    struct tm *tm_info = localtime(&now_time);
-    sprintf(timeStr, "%02d:%02d:%02d.%03ld",
-            tm_info->tm_hour, tm_info->tm_min, tm_info->tm_sec, ms);
-
-    // 添加提示文本
-    putText(frame, timeStr, Point(0, 20),
-            FONT_HERSHEY_SIMPLEX, 1.0, Scalar(0, 255, 0), 2, LINE_8);
-
     // FPS计算与显示
     ++count;
     auto now = chrono::steady_clock::now();
@@ -199,7 +195,7 @@ bool processFrame(VideoCapture &cap, FILE *pipe, Mat &frame, int64 &count, chron
     fwrite(frame.data, 1, frame.total() * frame.elemSize(), pipe);
     fflush(pipe);
     // 可选：显示窗口
-    imshow("测试画面", frame);
+    // imshow("测试画面", frame);
 
     return true;
 }
@@ -212,14 +208,14 @@ void mainLoop(VideoCapture &cap, FILE *pipe)
     Mat frame;
     cout << "开始视频处理循环..." << endl;
 
-    // // 创建全屏窗口
-    // namedWindow("处理后的画面", WINDOW_NORMAL);
-    // setWindowProperty("处理后的画面", WND_PROP_FULLSCREEN, WINDOW_FULLSCREEN);
+    // 创建全屏窗口
+    namedWindow("处理后的画面", WINDOW_NORMAL);
+    setWindowProperty("处理后的画面", WND_PROP_FULLSCREEN, WINDOW_FULLSCREEN);
 
-    // // 获取屏幕尺寸（通过获取全屏窗口的实际大小）
-    // cv::Rect windowRect = getWindowImageRect("处理后的画面");
-    // int screenWidth = windowRect.width > 0 ? windowRect.width : 1920;
-    // int screenHeight = windowRect.height > 0 ? windowRect.height : 1080;
+    // 获取屏幕尺寸（通过获取全屏窗口的实际大小）
+    cv::Rect windowRect = getWindowImageRect("处理后的画面");
+    int screenWidth = windowRect.width > 0 ? windowRect.width : 1920;
+    int screenHeight = windowRect.height > 0 ? windowRect.height : 1080;
 
     Mat displayFrame; // 用于存储缩放后的画面
 
@@ -230,9 +226,10 @@ void mainLoop(VideoCapture &cap, FILE *pipe)
             break;
         }
 
-        // // 将 handleFrame 缩放到全屏尺寸
-        // resize(handleFrame, displayFrame, Size(screenWidth, screenHeight));
-        // imshow("处理后的画面", displayFrame);
+        // 将 handleFrame 缩放到全屏尺寸
+        resize(handleFrame, displayFrame, Size(screenWidth, screenHeight));
+        imshow("处理后的画面", displayFrame);
+
         // 检测退出键
         if (cv::waitKey(1) == 'q')
         {