diff --git a/apps/detector_Shchedrin.cpp b/apps/detector_Shchedrin.cpp
new file mode 100644
index 0000000..e7cbe82
--- /dev/null
+++ b/apps/detector_Shchedrin.cpp
@@ -0,0 +1,124 @@
+#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};
+
+void detectOnImage(CascadeClassifier &classif, const Mat &image, Mat &res){
+    res = image.clone();
+    vector<Rect> found;
+    classif.detectMultiScale(image, found);    
+    for(int i = 0; i < found.size(); i++){
+        rectangle(res, found[i],Scalar(100,200,0),2);
+    }
+}
+
+int main(int argc, char** argv)
+{
+    // 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.
+    CascadeClassifier classif;
+    
+    if(!classif.load(detector_file)){
+        cerr<<"Can not load detector"<<endl;
+    }
+
+    if (!image_file.empty())
+    {   
+        Mat image = imread(image_file);
+        Mat res;
+        detectOnImage(classif, image, res);
+        imshow("detect", res);
+        int key = waitKey();
+    }
+    else if (!video_file.empty())
+    {
+        int key = 0;
+        VideoCapture cap(video_file);
+        if(!cap.isOpened()){
+            cerr<<"Can not open video"<<endl;
+            return -1;
+        }
+        Mat image, res;
+        do{
+            cap >> image;
+            if(image.empty()){
+                continue;
+            }
+            detectOnImage(classif, image, res);
+            imshow("detect", res);
+            key = waitKey(1);
+        }while(key != 27);
+        
+    }
+    else if (use_camera)
+    {
+        int key = 0;
+        VideoCapture cap(0);
+        if(!cap.isOpened()){
+            cerr<<"Can not connect to camera"<<endl;
+            return -1;
+        }
+        Mat image, res;
+        do{
+            cap >> image;
+            if(image.empty()){
+                continue;
+            }
+            detectOnImage(classif, image, res);
+            imshow("detect", res);
+            key = waitKey(1);
+        }while(key != 27);
+    }
+    else
+    {
+        cout << "Declare a source of images to detect on." << endl;
+    }
+
+    return 0;
+}
+
+
+