diff --git a/face_detect.py b/face_detect.py
index 247a4d1..0a77994 100644
--- a/face_detect.py
+++ b/face_detect.py
@@ -1,4 +1,38 @@
 """ 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/linnea/ToolBox-ComputerVision/haarcascade_frontalface_alt.xml')
+kernel = np.ones((21,21),'uint8')
+
+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))
+		frame[y:y+h,x:x+w,:] = cv2.dilate(frame[y:y+h,x:x+w,:], kernel)
+	for (x,y,w,h) in faces:
+		cv2.circle(frame, (x+90,y+120), 20, (0,0,255),10)
+	for (x,y,w,h) in faces:
+		cv2.circle(frame, (x+200,y+120), 20, (0,0,255),10)
+	for (x,y,w,h) in faces:
+		cv2.circle(frame, (x+150,y+240), 30, (50,50,255),25)
+    	
+    # 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()
+
+
+
+
+
+