diff --git a/apps/detector_razumov.cpp b/apps/detector_razumov.cpp
new file mode 100644
index 0000000..2161193
--- /dev/null
+++ b/apps/detector_razumov.cpp
@@ -0,0 +1,99 @@
+#include <iostream>
+#include <string>
+#include <vector>
+
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/objdetect/objdetect.hpp"
+
+using namespace std;
+using namespace cv;
+
+const char* params =
+     "{ h | help     | false | print usage                                   }"
+     "{   | detector |       | XML file with a cascade detector              }"
+     "{   | image    |       | image to detect objects on                    }"
+     "{   | video    |       | video file to detect on                       }"
+     "{   | camera   | false | whether to detect on video stream from camera }";
+
+
+void drawDetections(const vector<Rect>& detections,
+                    const Scalar& color,
+                    Mat& image)
+{
+    for (size_t i = 0; i < detections.size(); ++i)
+    {
+        rectangle(image, detections[i], color, 2);
+    }
+}
+
+const Scalar red(0, 0, 255);
+const Scalar green(0, 255, 0);
+const Scalar blue(255, 0, 0);
+const Scalar colors[] = {red, green, blue};
+
+int main(int argc, char** argv)
+{
+    CascadeClassifier detec;
+
+    // Parse command line arguments.
+    CommandLineParser parser(argc, argv, params);
+    // If help flag is present, print help message and exit.
+    if (parser.get<bool>("help"))
+    {
+        parser.printParams();
+        return 0;
+    }
+
+    string detector_file = parser.get<string>("detector");
+    CV_Assert(!detector_file.empty());
+    string image_file = parser.get<string>("image");
+    string video_file = parser.get<string>("video");
+    bool use_camera = parser.get<bool>("camera");
+
+    // TODO: Load detector.
+    detec.load(detector_file); 
+
+    if (!image_file.empty())
+    {
+         Mat img = imread(image_file);
+         vector<Rect> logos;
+         detec.detectMultiScale(img, logos, 1.1, 3, 0, Size(10, 10), Size(200,200));
+         cout<<logos.size();
+        // TODO: Detect objects on image.
+
+    }
+    else if (!video_file.empty())
+    {
+        // TODO: Detect objects on every frame of a video.
+
+    }
+
+    else if (use_camera)
+    {
+        CascadeClassifier face_cascade;
+        face_cascade.load( "C:\OpenCV-2.4.11\opencv\sources\data\haarcascades\haarcascade_frontalface_alt2.xml" );
+        Mat yourface; 
+        vector<Rect> faces;
+        
+        VideoCapture cap(0);         if(!cap.isOpened())       cout<<"can't open video from camera" ;
+        namedWindow("noname",1);
+        while(true)
+            {
+                cap >> yourface;
+                face_cascade.detectMultiScale(yourface, faces, 1.1, 3, 0, Size(10, 10), Size(200,200));
+                if(faces.size()>0)  imshow("noname", yourface);
+                else cout<<"where are you?";
+                if(waitKey(30) >= 0) break;
+            }
+    }
+    else
+    {
+        cout << "Declare a source of images to detect on." << endl;
+    }
+
+    return 0;
+}
+
+
+