diff --git a/face_detect.py b/face_detect.py
index 247a4d1..d87efa8 100755
--- a/face_detect.py
+++ b/face_detect.py
@@ -1,4 +1,31 @@
 """ Experiment with face detection and image filtering using OpenCV """
 
 import cv2
-import numpy as np
\ No newline at end of file
+import numpy as np
+
+cap = cv2.VideoCapture(0)
+
+face_cascade = cv2.CascadeClassifier('/home/sandy/haarcascade_frontalface_alt.xml')
+kernel = np.ones((30,30),'uint8')
+
+while(True):
+    ret, frame = cap.read()
+    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.circle(frame, (int(x+w/4), int(y+h/3)), w/10, (255,255,255), -1) #eyeballs
+        cv2.circle(frame, (int(x+3*w/4), int(y+h/3)), w/10, (255,255,255), -1)
+        cv2.circle(frame, (int(x+w/4), int(y+h/3)), w/30, 0, -1) #pupils
+        cv2.circle(frame, (int(x+3*w/4), int(y+h/3)), w/30, 0, -1)
+        cv2.ellipse(frame, (int(x+w/2), int(y+h/1.4)), (int(w/5), int(y/6)), 0, 0, 180, 0, 10, 1) #smiley face
+
+    # 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()