diff --git a/HisenceYoloDetection/CheckDiffSciHelper.cs b/HisenceYoloDetection/CheckDiffSciHelper.cs
index 4811e43..580fc6a 100644
--- a/HisenceYoloDetection/CheckDiffSciHelper.cs
+++ b/HisenceYoloDetection/CheckDiffSciHelper.cs
@@ -6,6 +6,7 @@ using System.Linq;
 using System.Security.Cryptography;
 using System.Text;
 using System.Threading.Tasks;
+using static System.Net.Mime.MediaTypeNames;
 using Point = OpenCvSharp.Point;
 using Size = OpenCvSharp.Size;
 
@@ -98,14 +99,14 @@ namespace HisenceYoloDetection
             DateTime dt = DateTime.Now;
             string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
 
-            string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
-            // 保存结果
+            //string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
+            //// 保存结果
 
-            Cv2.ImWrite(savePath4, thr1);
-            string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
-            // 保存结果
+            //Cv2.ImWrite(savePath4, thr1);
+            //string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
+            //// 保存结果
 
-            Cv2.ImWrite(savePath3, thr2);
+            //Cv2.ImWrite(savePath3, thr2);
 
             // 创建卷积核
             Mat filter1 = new Mat(15, 15, MatType.CV_32F, new Scalar(0));
@@ -145,14 +146,14 @@ namespace HisenceYoloDetection
             Mat devIMG_ = new Mat();
             Cv2.Subtract(final_result1, final_result2, devIMG);
             Cv2.Subtract(final_result2, final_result1, devIMG_);
-            string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
-            // 保存结果
+            //string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
+            //// 保存结果
 
-            Cv2.ImWrite(savePathd, devIMG);
-            string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
-            // 保存结果
+            //Cv2.ImWrite(savePathd, devIMG);
+            //string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
+            //// 保存结果
 
-            Cv2.ImWrite(savePathd1, devIMG_);
+            //Cv2.ImWrite(savePathd1, devIMG_);
             // 对差异图像应用阈值
             Cv2.Threshold(devIMG, devIMG, 20, 255, ThresholdTypes.Binary);
             Cv2.Threshold(devIMG_, devIMG_, 20, 255, ThresholdTypes.Binary);
@@ -176,24 +177,32 @@ namespace HisenceYoloDetection
                 {
                     Cv2.DrawContours(blackhatImg, new Point[][] { contour }, -1, Scalar.Black, thickness: Cv2.FILLED);
                     // 框选轮廓
-
+                    string savePath2 = Path.Combine("D:\\Hisence\\Test\\2\\ng", Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
+                    // 保存结果
+                    //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
+                    Cv2.ImWrite(savePath2, img2);
+                    string savePath = Path.Combine("D:\\Hisence\\Test\\2\\ng", Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
+                    // 保存结果
+                    //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
+                    Cv2.ImWrite(savePath, blackhatImg);
                 }
                 else
                 {
                     Rect boundingRect = Cv2.BoundingRect(contour);
                     Cv2.Rectangle(img2, boundingRect, Scalar.Red, thickness: 2);
                     isMatch = false;
+                    string savePath2 = Path.Combine("D:\\Hisence\\Test\\2\\ok", Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
+                    // 保存结果
+                    //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
+                    Cv2.ImWrite(savePath2, img2);
+                    string savePath = Path.Combine("D:\\Hisence\\Test\\2\\ok", Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
+                    // 保存结果
+                    //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
+                    Cv2.ImWrite(savePath, blackhatImg);
                 }
             }
 
-            string savePath2 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
-            // 保存结果
-            //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
-            Cv2.ImWrite(savePath2, img2);
-            string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
-            // 保存结果
-            //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
-            Cv2.ImWrite(savePath, blackhatImg);
+           
             return isMatch;
         }
 
@@ -315,14 +324,14 @@ namespace HisenceYoloDetection
                 DateTime dt = DateTime.Now;
                 string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
 
-                string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
-                // 保存结果
+                //string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
+                //// 保存结果
 
-                Cv2.ImWrite(savePath4, thr1);
-                string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
-                // 保存结果
+                //Cv2.ImWrite(savePath4, thr1);
+                //string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
+                //// 保存结果
 
-                Cv2.ImWrite(savePath3, thr2);
+                //Cv2.ImWrite(savePath3, thr2);
 
                 // 创建卷积核
                 
@@ -368,14 +377,14 @@ namespace HisenceYoloDetection
                 Mat devIMG_ = new Mat();
                 Cv2.Subtract(final_result1, final_result2, devIMG);
                 Cv2.Subtract(final_result2, final_result1, devIMG_);
-                string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
-                // 保存结果
+                //string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
+                //// 保存结果
              
-                Cv2.ImWrite(savePathd, devIMG);
-                string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
-                // 保存结果
+                //Cv2.ImWrite(savePathd, devIMG);
+                //string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
+                //// 保存结果
                 
-                Cv2.ImWrite(savePathd1, devIMG_);
+                //Cv2.ImWrite(savePathd1, devIMG_);
                 // 对差异图像应用阈值
                 Cv2.Threshold(devIMG, devIMG, 45, 255, ThresholdTypes.Binary);
                 Cv2.Threshold(devIMG_, devIMG_, 45, 255, ThresholdTypes.Binary);
@@ -383,10 +392,10 @@ namespace HisenceYoloDetection
                 // 结合差异
                 Mat sumIMG = new Mat();
                 Cv2.Add(devIMG, devIMG_, sumIMG);
-                string savePaths = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "sumIMG.png");
-                // 保存结果
+                //string savePaths = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "sumIMG.png");
+                //// 保存结果
 
-                Cv2.ImWrite(savePaths, sumIMG);
+                //Cv2.ImWrite(savePaths, sumIMG);
                 // 应用形态学操作
                 Mat kernelCL = Cv2.GetStructuringElement(MorphShapes.Rect, new Size(3, 3));
                 Mat blackhatImg = new Mat();
diff --git a/HisenceYoloDetection/MainForm.cs b/HisenceYoloDetection/MainForm.cs
index bd6ea61..876542f 100644
--- a/HisenceYoloDetection/MainForm.cs
+++ b/HisenceYoloDetection/MainForm.cs
@@ -277,6 +277,7 @@ namespace HisenceYoloDetection
         }
         public void Execute(object source, System.Timers.ElapsedEventArgs e)
         {
+            
             t.Stop(); //�ȹرն�ʱ��
             //melsecPLCTCPDriver.WriteInt("548", 1);
             //Thread.Sleep(1000);
@@ -524,6 +525,7 @@ namespace HisenceYoloDetection
             // tbFrameRate.Enabled = false;
             bnGetParam.Enabled = false;
             bnSetParam.Enabled = false;
+            
         }
         private void button3_Click(object sender, EventArgs e)
         {
@@ -1449,6 +1451,12 @@ namespace HisenceYoloDetection
                                 ResultMatShow.Image = mL.ResultMap;
 
                             }
+                            else
+                            {
+                                Mat res_yolo =  Cv2.ImRead("ng.jpg");
+
+                                ResultMatShow.Image = res_yolo.ToBitmap();
+                            }//�޷��򶨵���ͼƬ��˸����else�޷����
                             //��������
                             MLRequest req2 = new MLRequest();
                             req2.currentMat = Cam1ImgTwo;
@@ -2811,6 +2819,7 @@ namespace HisenceYoloDetection
                 string blockIndex = cam1TwoML.ResultDetails[i].LabelDisplay;
                 Rect area = new Rect(rectsx, rectsy, rectsWidth, rectsHeight);
                 Mat matCut = new Mat(mResultCuti, area);
+
                 Stopwatch sw = new Stopwatch();
                 sw.Start();
                 //OCRʶ��ü�ͼƬ
@@ -2892,6 +2901,7 @@ namespace HisenceYoloDetection
             string TextWoidStr = OcrFuzzyTextInsert.Join("##"); //ʵ�ʵļ����
             string SQLStr = "";//��־��ʾ���ݿ�Ĺؼ���
             bool juanjiMatch = false;
+            string filenameone = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
             switch (blockIndex)
             {
                 case "1"://��ȫƥ�� ������Ϣ
@@ -2913,11 +2923,17 @@ namespace HisenceYoloDetection
                                 //��ʾ����İ�
                                 DisplayResult(mLcut);
                                 Defet_OnDetectionDone(mLcut.ResultMap.ToMat(), 1);
+                                
+                                string Path_1 = Path.Combine("D:\\Hisence\\Test\\1\\ng", filenameone + "_res.png");
+                                Cv2.ImWrite(Path_1, mLcut.ResultMap.ToMat());
+
                             }
                             else
                             {
                                 OneIF = true;
                                 Defet_OnDetectionDone(OKMat, 1);
+                                string Path_2 = Path.Combine("D:\\Hisence\\Test\\1\\ok", filenameone + "_res.png");
+                                Cv2.ImWrite(Path_2, OKMat);
                             }
 
                         }
diff --git a/HisenceYoloDetection/MainForm.resx b/HisenceYoloDetection/MainForm.resx
index 72c614f..62ad5ac 100644
--- a/HisenceYoloDetection/MainForm.resx
+++ b/HisenceYoloDetection/MainForm.resx
@@ -142,7 +142,7 @@
     <value>733, 17</value>
   </metadata>
   <metadata name="$this.TrayHeight" type="System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089">
-    <value>34</value>
+    <value>25</value>
   </metadata>
   <assembly alias="System.Drawing" name="System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a" />
   <data name="$this.Icon" type="System.Drawing.Icon, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">