diff --git a/face_detect.py b/face_detect.py
index 247a4d1..207656c 100644
--- a/face_detect.py
+++ b/face_detect.py
@@ -1,4 +1,30 @@
 """ Experiment with face detection and image filtering using OpenCV """
 
+import numpy as np
 import cv2
-import numpy as np
\ No newline at end of file
+
+cap = cv2.VideoCapture(0)
+kernel = np.ones((21,21),'uint8')
+
+while True:
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    face_cascade = cv2.CascadeClassifier('C:\\Users\Victor\Toolbox-ComputerVision\haarcascade_frontalface_alt.xml')
+    faces = face_cascade.detectMultiScale(frame, scaleFactor=1.2, minSize=(20, 20))
+    for (x, y, w, h) in faces:
+        frame[y:y+h,x:x+w,:] = cv2.dilate(frame[y:y+h,x:x+w,:], kernel)
+        #cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255))
+    	#Eyes
+        cv2.circle(frame, ( x+int(.33*w), y+int(.4*h)), int(h/15), (0,255,255), thickness = -1)
+        cv2.circle(frame, (x+int(.66*w), y+int(.4*h)), int(h/15), (0,255,255), thickness = -1)
+    	#Smile
+        cv2.ellipse(frame, (x+int(.5*w),y+int(.65*h)), (int(w/4), int(h/5)), 0, 0, 180, (0,255,255), int(.6*10))
+
+    # Display the resulting frame
+    cv2.imshow('frame', frame)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# When everything done, release the capture
+cap.release()
+cv2.destroyAllWindows()