diff --git a/face_detect.py b/face_detect.py
index 247a4d1..292f633 100644
--- a/face_detect.py
+++ b/face_detect.py
@@ -1,4 +1,29 @@
 """ Experiment with face detection and image filtering using OpenCV """
 
 import cv2
-import numpy as np
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+import numpy as np
+kernel = np.ones((21,21),'uint8')
+
+cap = cv2.VideoCapture(0)
+face_cascade = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml')
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    faces = face_cascade.detectMultiScale(frame, scaleFactor=1.2, minSize=(20,20))
+    for (x,y,w,h) in faces:
+    	 cv2.rectangle(frame,(x,y),(x+w,y+h),(0,0,255))
+    	 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))
+			cv2.circle(frame, (int(x + w/3), int(y + h/3)), int(w/7), (0, 0, 0), -1)
+			cv2.circle(frame, (int(x + w*2/3), int(y + h/3)), int(w/7), (0, 0, 0), -1)
+			cv2.ellipse(frame, (int(x + w/2), int(y + h*2/3)), (int(w/4), int(h/5)), 0, 0, 180, (0, 0, 0), 20)
+
+    # 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()
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